Time-Ahead-Basic-LSTM-Avg-Voxel-Young-1.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "rN8VtTibW_kL"
   },
   "source": [
    "Set Colab to GPU Mode if you are training the models!"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "ESNkUUOEoS8j"
   },
   "source": [
    "### Mounting Google Drive"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "GWpiHXuGn6Oy",
    "outputId": "2ccc1d4e-1516-4e2e-e666-e28ef97cde69"
   },
   "outputs": [],
   "source": [
    "# from google.colab import drive\n",
    "# drive.mount('/content/drive')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "bpxEP-yeoWPX",
    "outputId": "a581e75e-fd8e-47d4-a5fa-db65a86e8412"
   },
   "outputs": [],
   "source": [
    "# cd 'drive/MyDrive/IIT J Summer Internship 2022/Code/Neural-Uncertainty-Representation/'"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "Hq9mNRMMomT7"
   },
   "source": [
    "### Importing Necessary Libraries\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {
    "id": "SRXBkwcIogPe"
   },
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "\n",
    "import tensorflow as tf\n",
    "\n",
    "from tensorflow.keras.layers import Dense, Dropout, LSTM, TimeDistributed\n",
    "from tensorflow.keras.models import Sequential\n",
    "from tensorflow.keras.optimizers import Adam\n",
    "\n",
    "from sklearn.preprocessing import MinMaxScaler\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "import os"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "_R2-Cetmxned"
   },
   "source": [
    "### Importing Data\n",
    "We import the data of a young subject's 3D-Tensor Data of dimensions (TR, Voxel, Number of Subjects) for the 5 different ROIs as follows:\n",
    "- **Prefrontal areas:** dlPFC, vlPFC, lOFC, dmPFC, mPFC, mOFC\n",
    "- **Default-mode areas:** mPFC, ACC, PCC, Precuneus, mOFC\n",
    "- **Sensory areas:** VC\n",
    "- **Multisensory area:** pSTS\n",
    "- **Some other areas:** TP, IPL, mCC, Put, PCG, Nac, INS\n",
    "\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {
    "id": "XUJPFBg1898z"
   },
   "outputs": [],
   "source": [
    "# file_names = [name for name in os.listdir('/content/drive/MyDrive/IIT J Summer Internship 2022/Hitchcock/Data/YOUNG/Voxel_BOLD/Numpy') if name.endswith(\"npy\") and (\"(1)\" not in name)]\n",
    "file_names = [name for name in os.listdir('./Data/YOUNG/Voxel_BOLD/Numpy') if name.endswith(\"npy\") and (\"(1)\" not in name)]\n",
    "file_names = [name for name in file_names if (\"537\" not in name)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {
    "id": "5lVnzf5N_Ufy"
   },
   "outputs": [],
   "source": [
    "ROI_names = [file_name.replace(\"data_\",\"\").replace(\".npy\",\"\") for file_name in file_names]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {
    "id": "Kg22rkIGpfP2"
   },
   "outputs": [],
   "source": [
    "data_ori = list()\n",
    "for file_name in file_names:\n",
    "    # data_ori.append(np.load('/content/drive/MyDrive/IIT J Summer Internship 2022/Hitchcock/Data/YOUNG/Voxel_BOLD/Numpy/'+file_name))\n",
    "    data_ori.append(np.load('./Data/YOUNG/Voxel_BOLD/Numpy/'+file_name))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "Kcaxzm8WDjgO"
   },
   "source": [
    "### Data Preparation"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "K9rJ8CAb97K2"
   },
   "source": [
    "Now, here we prepare the data to be fed to the Neural Network Architechtures. We can't predict the time ahead upto which the subjects are predicting correctly so, we will take a bit round about way to predict the BOLD values ahead in time(for several choices of time points e.g. 1 time point ahead, 2 time point ahead, etc) and will compare the results for young and old subjects."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "im3Oqy2ueeEU"
   },
   "source": [
    "Right from the starting we decide some of the data preparation parameters, so that we can use them as we require."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {
    "id": "X1DoZ2Fcec20"
   },
   "outputs": [],
   "source": [
    "TRAIN_BATCH_SIZE = 20\n",
    "TEST_BATCH_SIZE = 10\n",
    "LOOK_AHEADS = list(range(1, 16)) \n",
    "NUM_TEST_SUBS = 10"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "TYuu8ZM2-u9z"
   },
   "source": [
    "We will start a basic data preparation where we will average across all the voxels for a ROI and fit the model which predicts this average BOLD value. Later we will avoid doing an average since, all voxels in a ROI is not equally important and hence we will want to predict the BOLD values of several voxels simultaneously."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {
    "id": "pFvaFL69geft"
   },
   "outputs": [],
   "source": [
    "data = [np.mean(dat, axis=1, keepdims=True) for dat in data_ori]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "mY3usMssn3T5"
   },
   "source": [
    "Let's Start the Data Preparation for lOFC later we will iterate the same procedure for the other ROIs."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "71dv3Zkcgu3N",
    "outputId": "9dfa0cb6-dc7b-4404-cc7b-32268ad7201f"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "TP Average BOLD Shape: (189, 1, 111)\n"
     ]
    }
   ],
   "source": [
    "print(ROI_names[-1], \"Average BOLD Shape:\", data[-1].shape)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "jG7ofnvRczcN"
   },
   "source": [
    "Below, we see the average BOLD time series plot for all the ROIs."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "-wIOccLpE0d-"
   },
   "source": [
    "We have changed the data in the form (Number of Subjects, TR, Voxels) below."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {
    "id": "0pHK54KjDnah"
   },
   "outputs": [],
   "source": [
    "data = [np.transpose(dat, (2,0,1)) for dat in data]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "HRXHJ1cwgrzp",
    "outputId": "bb9ef066-2eae-47cc-deeb-4743cda8a59e"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "TP Average BOLD Shape: (111, 189, 1)\n"
     ]
    }
   ],
   "source": [
    "print(ROI_names[-1], \"Average BOLD Shape:\", data[-1].shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {
    "id": "AseI4ZNeg26E"
   },
   "outputs": [],
   "source": [
    "# for i in range(len(data)):  \n",
    "#   plt.figure(figsize=(10, 8))\n",
    "#   plt.plot(data[i][0,:,0])\n",
    "#   plt.title(\"Average BOLD of 1st Subject for \"+ROI_names[i])\n",
    "#   plt.xlabel(\"TRs\")\n",
    "#   plt.ylabel(\"Average BOLD(over voxels)\")\n",
    "#   plt.savefig(\"./Plots/YOUNG/AVG-BOLD/AVG-BOLD-\"+ROI_names[i]+\".png\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "gg50q17pp5xQ"
   },
   "source": [
    "We split the dataset of 111 young subjects into 101 subjects in the training data and 10 subject in the test data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {
    "id": "hrldyz8XnDlv"
   },
   "outputs": [],
   "source": [
    "train_data_unscaled = [dat[:-NUM_TEST_SUBS] for dat in data]\n",
    "test_data_unscaled = [dat[-NUM_TEST_SUBS:] for dat in data]  "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "MDV7H0sYt6jd"
   },
   "source": [
    "We scaled the BOLD values of each voxel in the train data between 0 and 1 for each voxel. We use the same MinMaxScaler fit on the train data on the test data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "metadata": {
    "id": "-xkJQLj3tORj"
   },
   "outputs": [],
   "source": [
    "scalers = list()\n",
    "for i in range(len(ROI_names)):\n",
    "  scalers.append(MinMaxScaler(feature_range = (0, 1)))\n",
    "train_data = [sc.fit_transform(dat[:,:,0]) for sc, dat in zip(scalers, train_data_unscaled)] \n",
    "test_data = [sc.transform(dat[:,:,0]) for sc, dat in zip(scalers, test_data_unscaled)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "metadata": {
    "id": "Ail126iVuR6s"
   },
   "outputs": [],
   "source": [
    "train_data = [np.expand_dims(dat, axis = -1) for dat in train_data]\n",
    "test_data = [np.expand_dims(dat, axis = -1) for dat in test_data]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "_cOAv_VrnbLU",
    "outputId": "ca52cae0-fbc2-4a11-ae29-af58d9fe53e0"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "TP Train Data Shape:  (101, 189, 1)\n",
      "TP Test Data Shape:  (10, 189, 1)\n"
     ]
    }
   ],
   "source": [
    "print(ROI_names[-1], \"Train Data Shape: \", train_data[-1].shape)\n",
    "print(ROI_names[-1], \"Test Data Shape: \", test_data[-1].shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "metadata": {
    "id": "YIlJSRX92txN"
   },
   "outputs": [],
   "source": [
    "# for i in range(len(data)):  \n",
    "#   plt.figure(figsize=(10, 8))\n",
    "#   plt.plot(train_data[i][0,:,0])\n",
    "#   plt.title(\"Average BOLD of 1st Subject for \"+ROI_names[i])\n",
    "#   plt.xlabel(\"TRs\")\n",
    "#   plt.ylabel(\"Average BOLD(over voxels)[Scaled between 0 and 1]\")\n",
    "#   plt.savefig(\"./Plots/YOUNG/AVG-BOLD/AVG-BOLD-SCALED-\"+ROI_names[i]+\".png\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "0yjlAwWeiEru"
   },
   "source": [
    "We now build a data generator which would produce mini-batches during the training of the neural network."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "metadata": {
    "id": "Blko7LXpgtwA"
   },
   "outputs": [],
   "source": [
    "class KerasBatchGenerator(object):\n",
    "    def __init__(self, data, num_TRs, batch_size, look_ahead=1):\n",
    "        self.data = data\n",
    "        self.num_TRs = num_TRs\n",
    "        self.batch_size = batch_size\n",
    "        self.current_idx = 0\n",
    "        self.look_ahead = look_ahead\n",
    "\n",
    "    def generate(self):\n",
    "        while True:\n",
    "            if self.current_idx + self.batch_size >= self.data.shape[0]:\n",
    "              self.current_idx = 0\n",
    "            x = self.data[self.current_idx:(self.current_idx+self.batch_size),:(-self.look_ahead),:]\n",
    "            y = self.data[self.current_idx:(self.current_idx+self.batch_size),self.look_ahead:,:]\n",
    "            self.current_idx = self.current_idx + self.batch_size\n",
    "            yield x, y "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "metadata": {
    "id": "lZN56Eg3mrsc"
   },
   "outputs": [],
   "source": [
    "train_data_generator, test_data_generator = list(), list()\n",
    "for LOOK_AHEAD in LOOK_AHEADS:\n",
    "    train_data_generator.append([KerasBatchGenerator(dat, dat.shape[1], TRAIN_BATCH_SIZE, LOOK_AHEAD) for dat in train_data])\n",
    "    test_data_generator.append([KerasBatchGenerator(dat, dat.shape[1], TEST_BATCH_SIZE, LOOK_AHEAD) for dat in test_data])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "5UPT6iRxpJ7c",
    "outputId": "3512d1f5-6a04-4819-94b9-0229bc0cdef4"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "TP Train Batch X Shape for 1 Ahead:  (20, 188, 1)\n",
      "TP Train Batch y Shape for 1 Ahead:  (20, 188, 1)\n",
      "TP Train Batch X Shape for 2 Ahead:  (20, 187, 1)\n",
      "TP Train Batch y Shape for 2 Ahead:  (20, 187, 1)\n",
      "TP Train Batch X Shape for 3 Ahead:  (20, 186, 1)\n",
      "TP Train Batch y Shape for 3 Ahead:  (20, 186, 1)\n",
      "TP Train Batch X Shape for 4 Ahead:  (20, 185, 1)\n",
      "TP Train Batch y Shape for 4 Ahead:  (20, 185, 1)\n",
      "TP Train Batch X Shape for 5 Ahead:  (20, 184, 1)\n",
      "TP Train Batch y Shape for 5 Ahead:  (20, 184, 1)\n",
      "TP Train Batch X Shape for 6 Ahead:  (20, 183, 1)\n",
      "TP Train Batch y Shape for 6 Ahead:  (20, 183, 1)\n",
      "TP Train Batch X Shape for 7 Ahead:  (20, 182, 1)\n",
      "TP Train Batch y Shape for 7 Ahead:  (20, 182, 1)\n",
      "TP Train Batch X Shape for 8 Ahead:  (20, 181, 1)\n",
      "TP Train Batch y Shape for 8 Ahead:  (20, 181, 1)\n",
      "TP Train Batch X Shape for 9 Ahead:  (20, 180, 1)\n",
      "TP Train Batch y Shape for 9 Ahead:  (20, 180, 1)\n",
      "TP Train Batch X Shape for 10 Ahead:  (20, 179, 1)\n",
      "TP Train Batch y Shape for 10 Ahead:  (20, 179, 1)\n",
      "TP Train Batch X Shape for 11 Ahead:  (20, 178, 1)\n",
      "TP Train Batch y Shape for 11 Ahead:  (20, 178, 1)\n",
      "TP Train Batch X Shape for 12 Ahead:  (20, 177, 1)\n",
      "TP Train Batch y Shape for 12 Ahead:  (20, 177, 1)\n",
      "TP Train Batch X Shape for 13 Ahead:  (20, 176, 1)\n",
      "TP Train Batch y Shape for 13 Ahead:  (20, 176, 1)\n",
      "TP Train Batch X Shape for 14 Ahead:  (20, 175, 1)\n",
      "TP Train Batch y Shape for 14 Ahead:  (20, 175, 1)\n",
      "TP Train Batch X Shape for 15 Ahead:  (20, 174, 1)\n",
      "TP Train Batch y Shape for 15 Ahead:  (20, 174, 1)\n"
     ]
    }
   ],
   "source": [
    "batch_xs, batch_ys = list(), list()\n",
    "for LOOK_AHEAD in LOOK_AHEADS:\n",
    "    batch = next(train_data_generator[LOOK_AHEAD-1][-1].generate())\n",
    "    batch_xs.append(batch[0])\n",
    "    batch_ys.append(batch[1])\n",
    "    print(f\"{ROI_names[-1]} Train Batch X Shape for {LOOK_AHEAD} Ahead: \", batch_xs[LOOK_AHEAD-1].shape)\n",
    "    print(f\"{ROI_names[-1]} Train Batch y Shape for {LOOK_AHEAD} Ahead: \", batch_ys[LOOK_AHEAD-1].shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "Clavfro-pSEV",
    "outputId": "2f9380f5-1bf0-47f7-c4c5-4fe25999be8a"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "TP Test Batch X Shape for 1 Ahead:  (10, 188, 1)\n",
      "TP Test Batch y Shape for 1 Ahead:  (10, 188, 1)\n",
      "TP Test Batch X Shape for 2 Ahead:  (10, 187, 1)\n",
      "TP Test Batch y Shape for 2 Ahead:  (10, 187, 1)\n",
      "TP Test Batch X Shape for 3 Ahead:  (10, 186, 1)\n",
      "TP Test Batch y Shape for 3 Ahead:  (10, 186, 1)\n",
      "TP Test Batch X Shape for 4 Ahead:  (10, 185, 1)\n",
      "TP Test Batch y Shape for 4 Ahead:  (10, 185, 1)\n",
      "TP Test Batch X Shape for 5 Ahead:  (10, 184, 1)\n",
      "TP Test Batch y Shape for 5 Ahead:  (10, 184, 1)\n",
      "TP Test Batch X Shape for 6 Ahead:  (10, 183, 1)\n",
      "TP Test Batch y Shape for 6 Ahead:  (10, 183, 1)\n",
      "TP Test Batch X Shape for 7 Ahead:  (10, 182, 1)\n",
      "TP Test Batch y Shape for 7 Ahead:  (10, 182, 1)\n",
      "TP Test Batch X Shape for 8 Ahead:  (10, 181, 1)\n",
      "TP Test Batch y Shape for 8 Ahead:  (10, 181, 1)\n",
      "TP Test Batch X Shape for 9 Ahead:  (10, 180, 1)\n",
      "TP Test Batch y Shape for 9 Ahead:  (10, 180, 1)\n",
      "TP Test Batch X Shape for 10 Ahead:  (10, 179, 1)\n",
      "TP Test Batch y Shape for 10 Ahead:  (10, 179, 1)\n",
      "TP Test Batch X Shape for 11 Ahead:  (10, 178, 1)\n",
      "TP Test Batch y Shape for 11 Ahead:  (10, 178, 1)\n",
      "TP Test Batch X Shape for 12 Ahead:  (10, 177, 1)\n",
      "TP Test Batch y Shape for 12 Ahead:  (10, 177, 1)\n",
      "TP Test Batch X Shape for 13 Ahead:  (10, 176, 1)\n",
      "TP Test Batch y Shape for 13 Ahead:  (10, 176, 1)\n",
      "TP Test Batch X Shape for 14 Ahead:  (10, 175, 1)\n",
      "TP Test Batch y Shape for 14 Ahead:  (10, 175, 1)\n",
      "TP Test Batch X Shape for 15 Ahead:  (10, 174, 1)\n",
      "TP Test Batch y Shape for 15 Ahead:  (10, 174, 1)\n"
     ]
    }
   ],
   "source": [
    "batch_xs, batch_ys = list(), list()\n",
    "for LOOK_AHEAD in LOOK_AHEADS:\n",
    "    batch = next(test_data_generator[LOOK_AHEAD-1][-1].generate())\n",
    "    batch_xs.append(batch[0])\n",
    "    batch_ys.append(batch[1])\n",
    "    print(f\"{ROI_names[-1]} Test Batch X Shape for {LOOK_AHEAD} Ahead: \", batch_xs[LOOK_AHEAD-1].shape)\n",
    "    print(f\"{ROI_names[-1]} Test Batch y Shape for {LOOK_AHEAD} Ahead: \", batch_ys[LOOK_AHEAD-1].shape)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "31NRewZjqoi1"
   },
   "source": [
    "### Building Model"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "8Ry-jGmHqqx0"
   },
   "source": [
    "We will start off by building a LSTM Model:\n",
    "- `Number of LSTM Layers = 1`\n",
    "- `Number of Dense Layers = 2`\n",
    "- `hidden units = 32`\n",
    "- `dropout = 0.3`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "metadata": {
    "id": "AKDAJkiVgK2n"
   },
   "outputs": [],
   "source": [
    "HIDDEN_UNITS = 32\n",
    "DROPOUT_PROB = 0.3\n",
    "LSTM_LAYERS = 1\n",
    "DENSE_LAYERS = 2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "metadata": {
    "id": "fqoXwHTTqqCR"
   },
   "outputs": [],
   "source": [
    "def avg_bold_model():\n",
    "  model = Sequential()\n",
    "  for _ in range(LSTM_LAYERS):\n",
    "    model.add(LSTM(HIDDEN_UNITS, return_sequences=True))\n",
    "  model.add(Dropout(0.3))\n",
    "  for _ in range(DENSE_LAYERS-1):\n",
    "    model.add(TimeDistributed(Dense(HIDDEN_UNITS, activation='relu')))\n",
    "  model.add(TimeDistributed(Dense(1)))\n",
    "  return model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "nYHgnyz-v5nA",
    "outputId": "9b71e39f-53a1-4ca7-a151-34fc6f874624"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "***1 Look Ahead Model***\n",
      "Model: \"sequential_315\"\n",
      "_________________________________________________________________\n",
      " Layer (type)                Output Shape              Param #   \n",
      "=================================================================\n",
      " lstm_315 (LSTM)             (10, 188, 32)             4352      \n",
      "                                                                 \n",
      " dropout_315 (Dropout)       (10, 188, 32)             0         \n",
      "                                                                 \n",
      " time_distributed_630 (TimeD  (10, 188, 32)            1056      \n",
      " istributed)                                                     \n",
      "                                                                 \n",
      " time_distributed_631 (TimeD  (10, 188, 1)             33        \n",
      " istributed)                                                     \n",
      "                                                                 \n",
      "=================================================================\n",
      "Total params: 5,441\n",
      "Trainable params: 5,441\n",
      "Non-trainable params: 0\n",
      "_________________________________________________________________\n",
      "***2 Look Ahead Model***\n",
      "Model: \"sequential_316\"\n",
      "_________________________________________________________________\n",
      " Layer (type)                Output Shape              Param #   \n",
      "=================================================================\n",
      " lstm_316 (LSTM)             (10, 187, 32)             4352      \n",
      "                                                                 \n",
      " dropout_316 (Dropout)       (10, 187, 32)             0         \n",
      "                                                                 \n",
      " time_distributed_632 (TimeD  (10, 187, 32)            1056      \n",
      " istributed)                                                     \n",
      "                                                                 \n",
      " time_distributed_633 (TimeD  (10, 187, 1)             33        \n",
      " istributed)                                                     \n",
      "                                                                 \n",
      "=================================================================\n",
      "Total params: 5,441\n",
      "Trainable params: 5,441\n",
      "Non-trainable params: 0\n",
      "_________________________________________________________________\n",
      "***3 Look Ahead Model***\n",
      "Model: \"sequential_317\"\n",
      "_________________________________________________________________\n",
      " Layer (type)                Output Shape              Param #   \n",
      "=================================================================\n",
      " lstm_317 (LSTM)             (10, 186, 32)             4352      \n",
      "                                                                 \n",
      " dropout_317 (Dropout)       (10, 186, 32)             0         \n",
      "                                                                 \n",
      " time_distributed_634 (TimeD  (10, 186, 32)            1056      \n",
      " istributed)                                                     \n",
      "                                                                 \n",
      " time_distributed_635 (TimeD  (10, 186, 1)             33        \n",
      " istributed)                                                     \n",
      "                                                                 \n",
      "=================================================================\n",
      "Total params: 5,441\n",
      "Trainable params: 5,441\n",
      "Non-trainable params: 0\n",
      "_________________________________________________________________\n",
      "***4 Look Ahead Model***\n",
      "Model: \"sequential_318\"\n",
      "_________________________________________________________________\n",
      " Layer (type)                Output Shape              Param #   \n",
      "=================================================================\n",
      " lstm_318 (LSTM)             (10, 185, 32)             4352      \n",
      "                                                                 \n",
      " dropout_318 (Dropout)       (10, 185, 32)             0         \n",
      "                                                                 \n",
      " time_distributed_636 (TimeD  (10, 185, 32)            1056      \n",
      " istributed)                                                     \n",
      "                                                                 \n",
      " time_distributed_637 (TimeD  (10, 185, 1)             33        \n",
      " istributed)                                                     \n",
      "                                                                 \n",
      "=================================================================\n",
      "Total params: 5,441\n",
      "Trainable params: 5,441\n",
      "Non-trainable params: 0\n",
      "_________________________________________________________________\n",
      "***5 Look Ahead Model***\n",
      "Model: \"sequential_319\"\n",
      "_________________________________________________________________\n",
      " Layer (type)                Output Shape              Param #   \n",
      "=================================================================\n",
      " lstm_319 (LSTM)             (10, 184, 32)             4352      \n",
      "                                                                 \n",
      " dropout_319 (Dropout)       (10, 184, 32)             0         \n",
      "                                                                 \n",
      " time_distributed_638 (TimeD  (10, 184, 32)            1056      \n",
      " istributed)                                                     \n",
      "                                                                 \n",
      " time_distributed_639 (TimeD  (10, 184, 1)             33        \n",
      " istributed)                                                     \n",
      "                                                                 \n",
      "=================================================================\n",
      "Total params: 5,441\n",
      "Trainable params: 5,441\n",
      "Non-trainable params: 0\n",
      "_________________________________________________________________\n",
      "***6 Look Ahead Model***\n",
      "Model: \"sequential_320\"\n",
      "_________________________________________________________________\n",
      " Layer (type)                Output Shape              Param #   \n",
      "=================================================================\n",
      " lstm_320 (LSTM)             (10, 183, 32)             4352      \n",
      "                                                                 \n",
      " dropout_320 (Dropout)       (10, 183, 32)             0         \n",
      "                                                                 \n",
      " time_distributed_640 (TimeD  (10, 183, 32)            1056      \n",
      " istributed)                                                     \n",
      "                                                                 \n",
      " time_distributed_641 (TimeD  (10, 183, 1)             33        \n",
      " istributed)                                                     \n",
      "                                                                 \n",
      "=================================================================\n",
      "Total params: 5,441\n",
      "Trainable params: 5,441\n",
      "Non-trainable params: 0\n",
      "_________________________________________________________________\n",
      "***7 Look Ahead Model***\n",
      "Model: \"sequential_321\"\n",
      "_________________________________________________________________\n",
      " Layer (type)                Output Shape              Param #   \n",
      "=================================================================\n",
      " lstm_321 (LSTM)             (10, 182, 32)             4352      \n",
      "                                                                 \n",
      " dropout_321 (Dropout)       (10, 182, 32)             0         \n",
      "                                                                 \n",
      " time_distributed_642 (TimeD  (10, 182, 32)            1056      \n",
      " istributed)                                                     \n",
      "                                                                 \n",
      " time_distributed_643 (TimeD  (10, 182, 1)             33        \n",
      " istributed)                                                     \n",
      "                                                                 \n",
      "=================================================================\n",
      "Total params: 5,441\n",
      "Trainable params: 5,441\n",
      "Non-trainable params: 0\n",
      "_________________________________________________________________\n",
      "***8 Look Ahead Model***\n",
      "Model: \"sequential_322\"\n",
      "_________________________________________________________________\n",
      " Layer (type)                Output Shape              Param #   \n",
      "=================================================================\n",
      " lstm_322 (LSTM)             (10, 181, 32)             4352      \n",
      "                                                                 \n",
      " dropout_322 (Dropout)       (10, 181, 32)             0         \n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                                                                 \n",
      " time_distributed_644 (TimeD  (10, 181, 32)            1056      \n",
      " istributed)                                                     \n",
      "                                                                 \n",
      " time_distributed_645 (TimeD  (10, 181, 1)             33        \n",
      " istributed)                                                     \n",
      "                                                                 \n",
      "=================================================================\n",
      "Total params: 5,441\n",
      "Trainable params: 5,441\n",
      "Non-trainable params: 0\n",
      "_________________________________________________________________\n",
      "***9 Look Ahead Model***\n",
      "Model: \"sequential_323\"\n",
      "_________________________________________________________________\n",
      " Layer (type)                Output Shape              Param #   \n",
      "=================================================================\n",
      " lstm_323 (LSTM)             (10, 180, 32)             4352      \n",
      "                                                                 \n",
      " dropout_323 (Dropout)       (10, 180, 32)             0         \n",
      "                                                                 \n",
      " time_distributed_646 (TimeD  (10, 180, 32)            1056      \n",
      " istributed)                                                     \n",
      "                                                                 \n",
      " time_distributed_647 (TimeD  (10, 180, 1)             33        \n",
      " istributed)                                                     \n",
      "                                                                 \n",
      "=================================================================\n",
      "Total params: 5,441\n",
      "Trainable params: 5,441\n",
      "Non-trainable params: 0\n",
      "_________________________________________________________________\n",
      "***10 Look Ahead Model***\n",
      "Model: \"sequential_324\"\n",
      "_________________________________________________________________\n",
      " Layer (type)                Output Shape              Param #   \n",
      "=================================================================\n",
      " lstm_324 (LSTM)             (10, 179, 32)             4352      \n",
      "                                                                 \n",
      " dropout_324 (Dropout)       (10, 179, 32)             0         \n",
      "                                                                 \n",
      " time_distributed_648 (TimeD  (10, 179, 32)            1056      \n",
      " istributed)                                                     \n",
      "                                                                 \n",
      " time_distributed_649 (TimeD  (10, 179, 1)             33        \n",
      " istributed)                                                     \n",
      "                                                                 \n",
      "=================================================================\n",
      "Total params: 5,441\n",
      "Trainable params: 5,441\n",
      "Non-trainable params: 0\n",
      "_________________________________________________________________\n",
      "***11 Look Ahead Model***\n",
      "Model: \"sequential_325\"\n",
      "_________________________________________________________________\n",
      " Layer (type)                Output Shape              Param #   \n",
      "=================================================================\n",
      " lstm_325 (LSTM)             (10, 178, 32)             4352      \n",
      "                                                                 \n",
      " dropout_325 (Dropout)       (10, 178, 32)             0         \n",
      "                                                                 \n",
      " time_distributed_650 (TimeD  (10, 178, 32)            1056      \n",
      " istributed)                                                     \n",
      "                                                                 \n",
      " time_distributed_651 (TimeD  (10, 178, 1)             33        \n",
      " istributed)                                                     \n",
      "                                                                 \n",
      "=================================================================\n",
      "Total params: 5,441\n",
      "Trainable params: 5,441\n",
      "Non-trainable params: 0\n",
      "_________________________________________________________________\n",
      "***12 Look Ahead Model***\n",
      "Model: \"sequential_326\"\n",
      "_________________________________________________________________\n",
      " Layer (type)                Output Shape              Param #   \n",
      "=================================================================\n",
      " lstm_326 (LSTM)             (10, 177, 32)             4352      \n",
      "                                                                 \n",
      " dropout_326 (Dropout)       (10, 177, 32)             0         \n",
      "                                                                 \n",
      " time_distributed_652 (TimeD  (10, 177, 32)            1056      \n",
      " istributed)                                                     \n",
      "                                                                 \n",
      " time_distributed_653 (TimeD  (10, 177, 1)             33        \n",
      " istributed)                                                     \n",
      "                                                                 \n",
      "=================================================================\n",
      "Total params: 5,441\n",
      "Trainable params: 5,441\n",
      "Non-trainable params: 0\n",
      "_________________________________________________________________\n",
      "***13 Look Ahead Model***\n",
      "Model: \"sequential_327\"\n",
      "_________________________________________________________________\n",
      " Layer (type)                Output Shape              Param #   \n",
      "=================================================================\n",
      " lstm_327 (LSTM)             (10, 176, 32)             4352      \n",
      "                                                                 \n",
      " dropout_327 (Dropout)       (10, 176, 32)             0         \n",
      "                                                                 \n",
      " time_distributed_654 (TimeD  (10, 176, 32)            1056      \n",
      " istributed)                                                     \n",
      "                                                                 \n",
      " time_distributed_655 (TimeD  (10, 176, 1)             33        \n",
      " istributed)                                                     \n",
      "                                                                 \n",
      "=================================================================\n",
      "Total params: 5,441\n",
      "Trainable params: 5,441\n",
      "Non-trainable params: 0\n",
      "_________________________________________________________________\n",
      "***14 Look Ahead Model***\n",
      "Model: \"sequential_328\"\n",
      "_________________________________________________________________\n",
      " Layer (type)                Output Shape              Param #   \n",
      "=================================================================\n",
      " lstm_328 (LSTM)             (10, 175, 32)             4352      \n",
      "                                                                 \n",
      " dropout_328 (Dropout)       (10, 175, 32)             0         \n",
      "                                                                 \n",
      " time_distributed_656 (TimeD  (10, 175, 32)            1056      \n",
      " istributed)                                                     \n",
      "                                                                 \n",
      " time_distributed_657 (TimeD  (10, 175, 1)             33        \n",
      " istributed)                                                     \n",
      "                                                                 \n",
      "=================================================================\n",
      "Total params: 5,441\n",
      "Trainable params: 5,441\n",
      "Non-trainable params: 0\n",
      "_________________________________________________________________\n",
      "***15 Look Ahead Model***\n",
      "Model: \"sequential_329\"\n",
      "_________________________________________________________________\n",
      " Layer (type)                Output Shape              Param #   \n",
      "=================================================================\n",
      " lstm_329 (LSTM)             (10, 174, 32)             4352      \n",
      "                                                                 \n",
      " dropout_329 (Dropout)       (10, 174, 32)             0         \n",
      "                                                                 \n",
      " time_distributed_658 (TimeD  (10, 174, 32)            1056      \n",
      " istributed)                                                     \n",
      "                                                                 \n",
      " time_distributed_659 (TimeD  (10, 174, 1)             33        \n",
      " istributed)                                                     \n",
      "                                                                 \n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "=================================================================\n",
      "Total params: 5,441\n",
      "Trainable params: 5,441\n",
      "Non-trainable params: 0\n",
      "_________________________________________________________________\n"
     ]
    }
   ],
   "source": [
    "for LOOK_AHEAD in LOOK_AHEADS:\n",
    "    print(f\"***{LOOK_AHEAD} Look Ahead Model***\")\n",
    "    sample_model = avg_bold_model()\n",
    "    sample_model.build(input_shape=batch_xs[LOOK_AHEAD-1].shape)\n",
    "    sample_model.summary()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "metadata": {
    "id": "fUZSBnNft2Dl"
   },
   "outputs": [],
   "source": [
    "models = [[avg_bold_model() for _ in ROI_names] for _ in LOOK_AHEADS]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "3PRKFwUahAKG"
   },
   "source": [
    "#### Training Model"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "LsHnfCSrhC0g"
   },
   "source": [
    "If you haven't already trained the models then uncomment and train your models which will be saved and will be loaded for inference later."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "metadata": {
    "id": "kf-dFQmfzqTA"
   },
   "outputs": [],
   "source": [
    "for i in range(len(LOOK_AHEADS)):\n",
    "    for j in range(len(ROI_names)):\n",
    "        models[i][j].compile(optimizer = 'adam', loss = 'mean_squared_error')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "metadata": {
    "id": "vcZsfhkz3lCH"
   },
   "outputs": [],
   "source": [
    "EPOCHS = 100\n",
    "checkpoint_filepaths = [[f\"./Models/YOUNG/LSTM/AVG-BOLD-TEST-ENLARGED/{name}/model_weights-best-val-loss-{LSTM_LAYERS}L-{HIDDEN_UNITS}H-{DENSE_LAYERS}D-{int(DROPOUT_PROB*10)}Drop-{LOOK_AHEAD}Ahead-{name}\" for name in ROI_names] for LOOK_AHEAD in LOOK_AHEADS]\n",
    "model_checkpoint_callbacks = [[tf.keras.callbacks.ModelCheckpoint(\n",
    "    filepath=checkpoint_filepat,\n",
    "    save_weights_only=True,\n",
    "    monitor = \"val_loss\",\n",
    "    mode='min',\n",
    "    save_best_only=True) for checkpoint_filepat in checkpoint_filepath] for checkpoint_filepath in checkpoint_filepaths]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "metadata": {
    "id": "wECZbf2i_AH7"
   },
   "outputs": [],
   "source": [
    "def plot_train_test_loss(history, model_name, i):  \n",
    "  plt.figure(figsize=(10,10))\n",
    "  plt.plot(history.history['loss'])\n",
    "  plt.plot(history.history['val_loss'])\n",
    "  plt.title(model_name+' loss')\n",
    "  plt.ylabel('loss')\n",
    "  plt.xlabel('epochs')\n",
    "  plt.legend(['train', 'val'], loc='upper left')\n",
    "  plt.savefig(\"./Plots/YOUNG/LSTM/AVG-BOLD-TEST-ENLARGED/\"+ROI_names[i]+\"/\"+model_name+\"-loss.png\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "AFb-kTLR21hl"
   },
   "outputs": [],
   "source": [
    "histories = list()\n",
    "with tf.device('/device:GPU:0'):\n",
    "    for LOOK_AHEAD in LOOK_AHEADS:\n",
    "        history = list()\n",
    "        for j in range(len(ROI_names)):\n",
    "            hist = models[LOOK_AHEAD-1][j].fit(\n",
    "                        train_data_generator[LOOK_AHEAD-1][j].generate(),\n",
    "                        steps_per_epoch=train_data[i].shape[0]//TRAIN_BATCH_SIZE,\n",
    "                        epochs=EPOCHS,\n",
    "                        validation_data=test_data_generator[LOOK_AHEAD-1][j].generate(),\n",
    "                        validation_steps=test_data[i].shape[0]//TEST_BATCH_SIZE,\n",
    "                        callbacks=[model_checkpoint_callbacks[LOOK_AHEAD-1][j]]\n",
    "                        )\n",
    "            models[LOOK_AHEAD-1][j].save_weights(f\"./Models/YOUNG/LSTM/AVG-BOLD-TEST-ENLARGED/{ROI_names[j]}/model_weights-{LSTM_LAYERS}L-{HIDDEN_UNITS}H-{DENSE_LAYERS}D-{int(DROPOUT_PROB*10)}Drop-{LOOK_AHEAD}Ahead-{ROI_names[j]}\")\n",
    "            plot_train_test_loss(hist, f\"{LSTM_LAYERS}L-{HIDDEN_UNITS}H-{DENSE_LAYERS}D-{int(DROPOUT_PROB*10)}Drop-{LOOK_AHEAD}Ahead-{ROI_names[j]}\", j)\n",
    "            history.append(hist)\n",
    "        histories.append(history)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 106,
   "metadata": {
    "id": "dKvn0145hViW"
   },
   "outputs": [],
   "source": [
    "for LOOK_AHEAD in LOOK_AHEADS:\n",
    "    for i in range(len(ROI_names)):\n",
    "        models[LOOK_AHEAD-1][i].load_weights(f\"./Models/YOUNG/LSTM/AVG-BOLD-TEST-ENLARGED/{ROI_names[i]}/model_weights-{LSTM_LAYERS}L-{HIDDEN_UNITS}H-{DENSE_LAYERS}D-{int(DROPOUT_PROB*10)}Drop-{LOOK_AHEAD}Ahead-{ROI_names[i]}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "7mpQ5Rap6kQ0"
   },
   "outputs": [],
   "source": [
    "preds = [[models[LOOK_AHEAD-1][i].predict(next(test_data_generator[LOOK_AHEAD-1][i].generate())[0]) for i in range(len(ROI_names))] for LOOK_AHEAD in LOOK_AHEADS]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 109,
   "metadata": {
    "id": "9a4QShbkj8lk"
   },
   "outputs": [],
   "source": [
    "a_TRs = np.array([56, 67, 73, 81, 134, 142, 155, 167, 174, 180])\n",
    "d_TRs = np.array([67, 72, 85, 89, 145, 154, 168, 174, 180, 188])\n",
    "and_TRs = np.union1d(a_TRs, d_TRs)\n",
    "\n",
    "def highlight_and(act, pred):\n",
    "  min_y_list = list()\n",
    "  max_y_list = list()\n",
    "  for i in range(5):\n",
    "    min_y_list.append(np.min(np.concatenate([act[a_TRs[2*i]:d_TRs[2*i+1]], pred[a_TRs[2*i]:d_TRs[2*i+1]]])))\n",
    "    max_y_list.append(np.max(np.concatenate([act[a_TRs[2*i]:d_TRs[2*i+1]], pred[a_TRs[2*i]:d_TRs[2*i+1]]])))\n",
    "    # plt.fill_betweenx(y=[min_y_list[i], max_y_list[i]], x1=a_TRs[2*i], x2=d_TRs[2*i+1], color='gray', alpha=0.1)\n",
    "    plt.fill_betweenx(y=[min_y_list[i], max_y_list[i]], x1=a_TRs[2*i], x2=a_TRs[2*i+1], color='violet', alpha=0.4)\n",
    "    plt.fill_betweenx(y=[min_y_list[i], max_y_list[i]], x1=d_TRs[2*i], x2=d_TRs[2*i+1], color='greenyellow', alpha=0.4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "WBLOHLixAWnk"
   },
   "outputs": [],
   "source": [
    "for LOOK_AHEAD in LOOK_AHEADS:\n",
    "    for i in range(len(ROI_names)):\n",
    "      \n",
    "        actual_test_data_output = np.squeeze(test_data_unscaled[i])[:,LOOK_AHEAD:] \n",
    "        pred_test_data_output = scalers[i].inverse_transform(np.hstack([preds[LOOK_AHEAD-1][i][:,:,0], preds[LOOK_AHEAD-1][i][:,:LOOK_AHEAD,0]]))[:,:-LOOK_AHEAD]\n",
    "        plt.figure(figsize=(24, 18))\n",
    "\n",
    "        for j in range(NUM_TEST_SUBS-1):\n",
    "  \n",
    "            ax = plt.subplot(3, 3, j + 1)\n",
    "            plt.plot(actual_test_data_output[j,:])\n",
    "            plt.plot(pred_test_data_output[j,:])\n",
    "            # highlight_and(actual_test_data_output[j,:], pred_test_data_output[j,:])\n",
    "            plt.xticks(np.concatenate([np.array([0]), and_TRs - LOOK_AHEAD]), np.concatenate([np.array([LOOK_AHEAD]), and_TRs]))\n",
    "            plt.ylabel(\"Average BOLD\")\n",
    "            plt.xlabel(\"TRs\")\n",
    "            plt.title(f\"Avg BOLD Preds of {LSTM_LAYERS}L-{HIDDEN_UNITS}H-{DENSE_LAYERS}D-{int(DROPOUT_PROB*10)}Drop-{LOOK_AHEAD}Ahead for {j+1}th Test Sub's {ROI_names[i]}\")\n",
    "            plt.legend(['actual', 'pred'])\n",
    "        plt.savefig(f\"./Plots/YOUNG/LSTM/AVG-BOLD-TEST-ENLARGED/{ROI_names[i]}/{LSTM_LAYERS}L-{HIDDEN_UNITS}H-{DENSE_LAYERS}D-{int(DROPOUT_PROB*10)}Drop-{LOOK_AHEAD}Ahead-Preds.png\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 128,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "J8hiJzxcKFuz",
    "outputId": "deaa6d44-de0d-463a-c437-9324739e5f64"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "***Each Test Subject's Correlation Coefficient between 1 ahead predicted and actual average BOLD values for ROIs***\n",
      "\n",
      "dlPFC for 1th sub: 0.32\n",
      "dlPFC for 2th sub: 0.34\n",
      "dlPFC for 3th sub: 0.46\n",
      "dlPFC for 4th sub: 0.31\n",
      "dlPFC for 5th sub: 0.25\n",
      "dlPFC for 6th sub: 0.15\n",
      "dlPFC for 7th sub: 0.24\n",
      "dlPFC for 8th sub: 0.08\n",
      "dlPFC for 9th sub: 0.32\n",
      "dlPFC for 10th sub: 0.45\n",
      "INS for 1th sub: 0.4\n",
      "INS for 2th sub: 0.82\n",
      "INS for 3th sub: 0.61\n",
      "INS for 4th sub: 0.51\n",
      "INS for 5th sub: -0.06\n",
      "INS for 6th sub: 0.45\n",
      "INS for 7th sub: 0.0\n",
      "INS for 8th sub: 0.54\n",
      "INS for 9th sub: 0.04\n",
      "INS for 10th sub: 0.36\n",
      "VC for 1th sub: 0.57\n",
      "VC for 2th sub: 0.51\n",
      "VC for 3th sub: 0.57\n",
      "VC for 4th sub: 0.66\n",
      "VC for 5th sub: 0.66\n",
      "VC for 6th sub: 0.37\n",
      "VC for 7th sub: 0.41\n",
      "VC for 8th sub: 0.65\n",
      "VC for 9th sub: 0.55\n",
      "VC for 10th sub: 0.59\n",
      "Cau for 1th sub: 0.18\n",
      "Cau for 2th sub: 0.65\n",
      "Cau for 3th sub: 0.39\n",
      "Cau for 4th sub: 0.16\n",
      "Cau for 5th sub: 0.39\n",
      "Cau for 6th sub: 0.1\n",
      "Cau for 7th sub: 0.01\n",
      "Cau for 8th sub: 0.27\n",
      "Cau for 9th sub: 0.68\n",
      "Cau for 10th sub: 0.27\n",
      "PCC for 1th sub: 0.35\n",
      "PCC for 2th sub: 0.5\n",
      "PCC for 3th sub: 0.57\n",
      "PCC for 4th sub: 0.42\n",
      "PCC for 5th sub: 0.05\n",
      "PCC for 6th sub: 0.66\n",
      "PCC for 7th sub: 0.32\n",
      "PCC for 8th sub: 0.6\n",
      "PCC for 9th sub: 0.21\n",
      "PCC for 10th sub: 0.54\n",
      "PCG for 1th sub: 0.46\n",
      "PCG for 2th sub: 0.36\n",
      "PCG for 3th sub: 0.3\n",
      "PCG for 4th sub: 0.09\n",
      "PCG for 5th sub: 0.12\n",
      "PCG for 6th sub: 0.56\n",
      "PCG for 7th sub: 0.26\n",
      "PCG for 8th sub: 0.37\n",
      "PCG for 9th sub: 0.5\n",
      "PCG for 10th sub: 0.61\n",
      "mCC for 1th sub: 0.3\n",
      "mCC for 2th sub: 0.18\n",
      "mCC for 3th sub: 0.57\n",
      "mCC for 4th sub: 0.16\n",
      "mCC for 5th sub: 0.42\n",
      "mCC for 6th sub: 0.9\n",
      "mCC for 7th sub: 0.09\n",
      "mCC for 8th sub: 0.56\n",
      "mCC for 9th sub: 0.37\n",
      "mCC for 10th sub: 0.33\n",
      "mOFC for 1th sub: 0.09\n",
      "mOFC for 2th sub: 0.37\n",
      "mOFC for 3th sub: 0.81\n",
      "mOFC for 4th sub: 0.86\n",
      "mOFC for 5th sub: 0.52\n",
      "mOFC for 6th sub: 0.73\n",
      "mOFC for 7th sub: -0.14\n",
      "mOFC for 8th sub: 0.91\n",
      "mOFC for 9th sub: 0.89\n",
      "mOFC for 10th sub: 0.3\n",
      "Prec for 1th sub: 0.37\n",
      "Prec for 2th sub: 0.55\n",
      "Prec for 3th sub: 0.62\n",
      "Prec for 4th sub: 0.42\n",
      "Prec for 5th sub: 0.21\n",
      "Prec for 6th sub: 0.64\n",
      "Prec for 7th sub: 0.44\n",
      "Prec for 8th sub: 0.68\n",
      "Prec for 9th sub: 0.38\n",
      "Prec for 10th sub: 0.53\n",
      "mPFC for 1th sub: 0.39\n",
      "mPFC for 2th sub: 0.12\n",
      "mPFC for 3th sub: 0.29\n",
      "mPFC for 4th sub: 0.79\n",
      "mPFC for 5th sub: 0.27\n",
      "mPFC for 6th sub: 0.27\n",
      "mPFC for 7th sub: 0.29\n",
      "mPFC for 8th sub: 0.82\n",
      "mPFC for 9th sub: 0.25\n",
      "mPFC for 10th sub: 0.17\n",
      "pSTS for 1th sub: 0.55\n",
      "pSTS for 2th sub: 0.47\n",
      "pSTS for 3th sub: 0.72\n",
      "pSTS for 4th sub: 0.45\n",
      "pSTS for 5th sub: 0.39\n",
      "pSTS for 6th sub: 0.66\n",
      "pSTS for 7th sub: 0.22\n",
      "pSTS for 8th sub: 0.74\n",
      "pSTS for 9th sub: 0.35\n",
      "pSTS for 10th sub: 0.11\n",
      "vlPFC for 1th sub: 0.4\n",
      "vlPFC for 2th sub: 0.27\n",
      "vlPFC for 3th sub: 0.61\n",
      "vlPFC for 4th sub: 0.44\n",
      "vlPFC for 5th sub: 0.34\n",
      "vlPFC for 6th sub: 0.39\n",
      "vlPFC for 7th sub: 0.34\n",
      "vlPFC for 8th sub: 0.6\n",
      "vlPFC for 9th sub: 0.61\n",
      "vlPFC for 10th sub: 0.24\n",
      "dmPFC for 1th sub: 0.36\n",
      "dmPFC for 2th sub: 0.63\n",
      "dmPFC for 3th sub: 0.36\n",
      "dmPFC for 4th sub: 0.27\n",
      "dmPFC for 5th sub: 0.01\n",
      "dmPFC for 6th sub: 0.48\n",
      "dmPFC for 7th sub: 0.19\n",
      "dmPFC for 8th sub: 0.44\n",
      "dmPFC for 9th sub: 0.48\n",
      "dmPFC for 10th sub: 0.16\n",
      "Nac for 1th sub: 0.24\n",
      "Nac for 2th sub: 0.5\n",
      "Nac for 3th sub: 0.35\n",
      "Nac for 4th sub: 0.43\n",
      "Nac for 5th sub: 0.35\n",
      "Nac for 6th sub: 0.13\n",
      "Nac for 7th sub: 0.06\n",
      "Nac for 8th sub: 0.33\n",
      "Nac for 9th sub: 0.83\n",
      "Nac for 10th sub: 0.14\n",
      "IPL for 1th sub: 0.57\n",
      "IPL for 2th sub: 0.43\n",
      "IPL for 3th sub: 0.6\n",
      "IPL for 4th sub: 0.56\n",
      "IPL for 5th sub: 0.45\n",
      "IPL for 6th sub: 0.39\n",
      "IPL for 7th sub: 0.65\n",
      "IPL for 8th sub: 0.72\n",
      "IPL for 9th sub: 0.48\n",
      "IPL for 10th sub: 0.43\n",
      "ACC for 1th sub: 0.42\n",
      "ACC for 2th sub: 0.54\n",
      "ACC for 3th sub: 0.3\n",
      "ACC for 4th sub: 0.25\n",
      "ACC for 5th sub: 0.14\n",
      "ACC for 6th sub: 0.43\n",
      "ACC for 7th sub: 0.25\n",
      "ACC for 8th sub: 0.7\n",
      "ACC for 9th sub: 0.57\n",
      "ACC for 10th sub: 0.51\n",
      "lOFC for 1th sub: 0.54\n",
      "lOFC for 2th sub: 0.24\n",
      "lOFC for 3th sub: 0.65\n",
      "lOFC for 4th sub: 0.75\n",
      "lOFC for 5th sub: 0.35\n",
      "lOFC for 6th sub: 0.14\n",
      "lOFC for 7th sub: 0.19\n",
      "lOFC for 8th sub: 0.88\n",
      "lOFC for 9th sub: 0.89\n",
      "lOFC for 10th sub: 0.08\n",
      "Put for 1th sub: 0.32\n",
      "Put for 2th sub: 0.12\n",
      "Put for 3th sub: 0.66\n",
      "Put for 4th sub: 0.13\n",
      "Put for 5th sub: 0.33\n",
      "Put for 6th sub: 0.29\n",
      "Put for 7th sub: 0.14\n",
      "Put for 8th sub: 0.52\n",
      "Put for 9th sub: 0.41\n",
      "Put for 10th sub: 0.13\n",
      "AMY for 1th sub: 0.23\n",
      "AMY for 2th sub: 0.52\n",
      "AMY for 3th sub: 0.66\n",
      "AMY for 4th sub: 0.21\n",
      "AMY for 5th sub: 0.06\n",
      "AMY for 6th sub: 0.61\n",
      "AMY for 7th sub: 0.22\n",
      "AMY for 8th sub: 0.75\n",
      "AMY for 9th sub: 0.16\n",
      "AMY for 10th sub: 0.17\n",
      "TP for 1th sub: 0.76\n",
      "TP for 2th sub: 0.68\n",
      "TP for 3th sub: 0.83\n",
      "TP for 4th sub: 0.46\n",
      "TP for 5th sub: 0.83\n",
      "TP for 6th sub: 0.41\n",
      "TP for 7th sub: 0.36\n",
      "TP for 8th sub: 0.79\n",
      "TP for 9th sub: 0.74\n",
      "TP for 10th sub: 0.76\n",
      "\n",
      "***Average across test subjects Correlation Coefficient between 1 ahead predicted and actual average BOLD values for ROIs***\n",
      "\n",
      "dlPFC: 0.29\n",
      "INS: 0.37\n",
      "VC: 0.56\n",
      "Cau: 0.31\n",
      "PCC: 0.42\n",
      "PCG: 0.37\n",
      "mCC: 0.39\n",
      "mOFC: 0.53\n",
      "Prec: 0.49\n",
      "mPFC: 0.37\n",
      "pSTS: 0.46\n",
      "vlPFC: 0.42\n",
      "dmPFC: 0.34\n",
      "Nac: 0.34\n",
      "IPL: 0.53\n",
      "ACC: 0.41\n",
      "lOFC: 0.47\n",
      "Put: 0.31\n",
      "AMY: 0.36\n",
      "TP: 0.66\n",
      "***Each Test Subject's Correlation Coefficient between 2 ahead predicted and actual average BOLD values for ROIs***\n",
      "\n",
      "dlPFC for 1th sub: 0.22\n",
      "dlPFC for 2th sub: 0.03\n",
      "dlPFC for 3th sub: 0.42\n",
      "dlPFC for 4th sub: 0.19\n",
      "dlPFC for 5th sub: 0.03\n",
      "dlPFC for 6th sub: -0.01\n",
      "dlPFC for 7th sub: 0.07\n",
      "dlPFC for 8th sub: 0.12\n",
      "dlPFC for 9th sub: 0.21\n",
      "dlPFC for 10th sub: 0.22\n",
      "INS for 1th sub: 0.32\n",
      "INS for 2th sub: 0.71\n",
      "INS for 3th sub: 0.51\n",
      "INS for 4th sub: 0.41\n",
      "INS for 5th sub: -0.09\n",
      "INS for 6th sub: 0.39\n",
      "INS for 7th sub: 0.03\n",
      "INS for 8th sub: 0.43\n",
      "INS for 9th sub: -0.14\n",
      "INS for 10th sub: 0.2\n",
      "VC for 1th sub: 0.35\n",
      "VC for 2th sub: 0.21\n",
      "VC for 3th sub: 0.46\n",
      "VC for 4th sub: 0.36\n",
      "VC for 5th sub: 0.39\n",
      "VC for 6th sub: 0.35\n",
      "VC for 7th sub: 0.13\n",
      "VC for 8th sub: 0.52\n",
      "VC for 9th sub: 0.35\n",
      "VC for 10th sub: 0.4\n",
      "Cau for 1th sub: 0.1\n",
      "Cau for 2th sub: 0.57\n",
      "Cau for 3th sub: 0.26\n",
      "Cau for 4th sub: 0.06\n",
      "Cau for 5th sub: 0.34\n",
      "Cau for 6th sub: 0.05\n",
      "Cau for 7th sub: -0.0\n",
      "Cau for 8th sub: 0.17\n",
      "Cau for 9th sub: 0.55\n",
      "Cau for 10th sub: 0.32\n",
      "PCC for 1th sub: 0.14\n",
      "PCC for 2th sub: 0.37\n",
      "PCC for 3th sub: 0.43\n",
      "PCC for 4th sub: 0.14\n",
      "PCC for 5th sub: -0.02\n",
      "PCC for 6th sub: 0.62\n",
      "PCC for 7th sub: 0.12\n",
      "PCC for 8th sub: 0.47\n",
      "PCC for 9th sub: -0.03\n",
      "PCC for 10th sub: 0.36\n",
      "PCG for 1th sub: 0.23\n",
      "PCG for 2th sub: 0.28\n",
      "PCG for 3th sub: 0.33\n",
      "PCG for 4th sub: 0.02\n",
      "PCG for 5th sub: -0.03\n",
      "PCG for 6th sub: 0.43\n",
      "PCG for 7th sub: 0.17\n",
      "PCG for 8th sub: 0.28\n",
      "PCG for 9th sub: 0.37\n",
      "PCG for 10th sub: 0.49\n",
      "mCC for 1th sub: 0.14\n",
      "mCC for 2th sub: -0.02\n",
      "mCC for 3th sub: 0.48\n",
      "mCC for 4th sub: 0.15\n",
      "mCC for 5th sub: 0.4\n",
      "mCC for 6th sub: 0.83\n",
      "mCC for 7th sub: 0.09\n",
      "mCC for 8th sub: 0.4\n",
      "mCC for 9th sub: 0.24\n",
      "mCC for 10th sub: 0.3\n",
      "mOFC for 1th sub: 0.15\n",
      "mOFC for 2th sub: 0.43\n",
      "mOFC for 3th sub: 0.72\n",
      "mOFC for 4th sub: 0.88\n",
      "mOFC for 5th sub: 0.53\n",
      "mOFC for 6th sub: 0.68\n",
      "mOFC for 7th sub: -0.08\n",
      "mOFC for 8th sub: 0.88\n",
      "mOFC for 9th sub: 0.87\n",
      "mOFC for 10th sub: 0.36\n",
      "Prec for 1th sub: 0.16\n",
      "Prec for 2th sub: 0.36\n",
      "Prec for 3th sub: 0.4\n",
      "Prec for 4th sub: 0.22\n",
      "Prec for 5th sub: 0.1\n",
      "Prec for 6th sub: 0.58\n",
      "Prec for 7th sub: 0.3\n",
      "Prec for 8th sub: 0.48\n",
      "Prec for 9th sub: 0.29\n",
      "Prec for 10th sub: 0.28\n",
      "mPFC for 1th sub: 0.14\n",
      "mPFC for 2th sub: 0.15\n",
      "mPFC for 3th sub: 0.31\n",
      "mPFC for 4th sub: 0.68\n",
      "mPFC for 5th sub: 0.16\n",
      "mPFC for 6th sub: 0.21\n",
      "mPFC for 7th sub: 0.14\n",
      "mPFC for 8th sub: 0.75\n",
      "mPFC for 9th sub: 0.15\n",
      "mPFC for 10th sub: 0.11\n",
      "pSTS for 1th sub: 0.41\n",
      "pSTS for 2th sub: 0.25\n",
      "pSTS for 3th sub: 0.61\n",
      "pSTS for 4th sub: 0.29\n",
      "pSTS for 5th sub: 0.22\n",
      "pSTS for 6th sub: 0.49\n",
      "pSTS for 7th sub: 0.18\n",
      "pSTS for 8th sub: 0.59\n",
      "pSTS for 9th sub: 0.16\n",
      "pSTS for 10th sub: 0.06\n",
      "vlPFC for 1th sub: 0.26\n",
      "vlPFC for 2th sub: 0.1\n",
      "vlPFC for 3th sub: 0.52\n",
      "vlPFC for 4th sub: 0.37\n",
      "vlPFC for 5th sub: 0.32\n",
      "vlPFC for 6th sub: 0.25\n",
      "vlPFC for 7th sub: 0.24\n",
      "vlPFC for 8th sub: 0.47\n",
      "vlPFC for 9th sub: 0.49\n",
      "vlPFC for 10th sub: 0.14\n",
      "dmPFC for 1th sub: 0.1\n",
      "dmPFC for 2th sub: 0.47\n",
      "dmPFC for 3th sub: 0.4\n",
      "dmPFC for 4th sub: 0.14\n",
      "dmPFC for 5th sub: -0.04\n",
      "dmPFC for 6th sub: 0.48\n",
      "dmPFC for 7th sub: 0.08\n",
      "dmPFC for 8th sub: 0.37\n",
      "dmPFC for 9th sub: 0.35\n",
      "dmPFC for 10th sub: 0.12\n",
      "Nac for 1th sub: 0.16\n",
      "Nac for 2th sub: 0.34\n",
      "Nac for 3th sub: 0.21\n",
      "Nac for 4th sub: 0.37\n",
      "Nac for 5th sub: 0.28\n",
      "Nac for 6th sub: 0.07\n",
      "Nac for 7th sub: 0.09\n",
      "Nac for 8th sub: 0.26\n",
      "Nac for 9th sub: 0.78\n",
      "Nac for 10th sub: 0.28\n",
      "IPL for 1th sub: 0.32\n",
      "IPL for 2th sub: 0.13\n",
      "IPL for 3th sub: 0.51\n",
      "IPL for 4th sub: 0.29\n",
      "IPL for 5th sub: 0.21\n",
      "IPL for 6th sub: 0.24\n",
      "IPL for 7th sub: 0.43\n",
      "IPL for 8th sub: 0.54\n",
      "IPL for 9th sub: 0.3\n",
      "IPL for 10th sub: 0.23\n",
      "ACC for 1th sub: 0.3\n",
      "ACC for 2th sub: 0.37\n",
      "ACC for 3th sub: 0.3\n",
      "ACC for 4th sub: 0.14\n",
      "ACC for 5th sub: 0.04\n",
      "ACC for 6th sub: 0.34\n",
      "ACC for 7th sub: 0.18\n",
      "ACC for 8th sub: 0.64\n",
      "ACC for 9th sub: 0.45\n",
      "ACC for 10th sub: 0.34\n",
      "lOFC for 1th sub: 0.26\n",
      "lOFC for 2th sub: 0.19\n",
      "lOFC for 3th sub: 0.6\n",
      "lOFC for 4th sub: 0.71\n",
      "lOFC for 5th sub: 0.13\n",
      "lOFC for 6th sub: 0.07\n",
      "lOFC for 7th sub: 0.12\n",
      "lOFC for 8th sub: 0.77\n",
      "lOFC for 9th sub: 0.85\n",
      "lOFC for 10th sub: 0.09\n",
      "Put for 1th sub: 0.24\n",
      "Put for 2th sub: 0.14\n",
      "Put for 3th sub: 0.6\n",
      "Put for 4th sub: 0.15\n",
      "Put for 5th sub: 0.26\n",
      "Put for 6th sub: 0.19\n",
      "Put for 7th sub: 0.07\n",
      "Put for 8th sub: 0.43\n",
      "Put for 9th sub: 0.37\n",
      "Put for 10th sub: 0.12\n",
      "AMY for 1th sub: 0.21\n",
      "AMY for 2th sub: 0.47\n",
      "AMY for 3th sub: 0.6\n",
      "AMY for 4th sub: 0.2\n",
      "AMY for 5th sub: 0.02\n",
      "AMY for 6th sub: 0.59\n",
      "AMY for 7th sub: 0.18\n",
      "AMY for 8th sub: 0.67\n",
      "AMY for 9th sub: 0.06\n",
      "AMY for 10th sub: 0.09\n",
      "TP for 1th sub: 0.6\n",
      "TP for 2th sub: 0.49\n",
      "TP for 3th sub: 0.73\n",
      "TP for 4th sub: 0.39\n",
      "TP for 5th sub: 0.7\n",
      "TP for 6th sub: 0.34\n",
      "TP for 7th sub: 0.3\n",
      "TP for 8th sub: 0.7\n",
      "TP for 9th sub: 0.69\n",
      "TP for 10th sub: 0.63\n",
      "\n",
      "***Average across test subjects Correlation Coefficient between 2 ahead predicted and actual average BOLD values for ROIs***\n",
      "\n",
      "dlPFC: 0.15\n",
      "INS: 0.28\n",
      "VC: 0.35\n",
      "Cau: 0.24\n",
      "PCC: 0.26\n",
      "PCG: 0.26\n",
      "mCC: 0.3\n",
      "mOFC: 0.54\n",
      "Prec: 0.32\n",
      "mPFC: 0.28\n",
      "pSTS: 0.32\n",
      "vlPFC: 0.32\n",
      "dmPFC: 0.25\n",
      "Nac: 0.28\n",
      "IPL: 0.32\n",
      "ACC: 0.31\n",
      "lOFC: 0.38\n",
      "Put: 0.26\n",
      "AMY: 0.31\n",
      "TP: 0.56\n",
      "***Each Test Subject's Correlation Coefficient between 3 ahead predicted and actual average BOLD values for ROIs***\n",
      "\n",
      "dlPFC for 1th sub: 0.18\n",
      "dlPFC for 2th sub: -0.05\n",
      "dlPFC for 3th sub: 0.4\n",
      "dlPFC for 4th sub: 0.16\n",
      "dlPFC for 5th sub: 0.06\n",
      "dlPFC for 6th sub: -0.03\n",
      "dlPFC for 7th sub: 0.04\n",
      "dlPFC for 8th sub: 0.15\n",
      "dlPFC for 9th sub: 0.15\n",
      "dlPFC for 10th sub: 0.14\n",
      "INS for 1th sub: 0.26\n",
      "INS for 2th sub: 0.66\n",
      "INS for 3th sub: 0.45\n",
      "INS for 4th sub: 0.34\n",
      "INS for 5th sub: -0.09\n",
      "INS for 6th sub: 0.34\n",
      "INS for 7th sub: 0.02\n",
      "INS for 8th sub: 0.39\n",
      "INS for 9th sub: -0.17\n",
      "INS for 10th sub: 0.11\n",
      "VC for 1th sub: 0.25\n",
      "VC for 2th sub: 0.07\n",
      "VC for 3th sub: 0.33\n",
      "VC for 4th sub: 0.17\n",
      "VC for 5th sub: 0.25\n",
      "VC for 6th sub: 0.26\n",
      "VC for 7th sub: 0.06\n",
      "VC for 8th sub: 0.43\n",
      "VC for 9th sub: 0.25\n",
      "VC for 10th sub: 0.26\n",
      "Cau for 1th sub: -0.01\n",
      "Cau for 2th sub: 0.5\n",
      "Cau for 3th sub: 0.26\n",
      "Cau for 4th sub: 0.16\n",
      "Cau for 5th sub: 0.29\n",
      "Cau for 6th sub: 0.08\n",
      "Cau for 7th sub: 0.03\n",
      "Cau for 8th sub: 0.14\n",
      "Cau for 9th sub: 0.49\n",
      "Cau for 10th sub: 0.3\n",
      "PCC for 1th sub: 0.03\n",
      "PCC for 2th sub: 0.38\n",
      "PCC for 3th sub: 0.28\n",
      "PCC for 4th sub: 0.1\n",
      "PCC for 5th sub: -0.01\n",
      "PCC for 6th sub: 0.63\n",
      "PCC for 7th sub: 0.13\n",
      "PCC for 8th sub: 0.43\n",
      "PCC for 9th sub: -0.06\n",
      "PCC for 10th sub: 0.3\n",
      "PCG for 1th sub: 0.14\n",
      "PCG for 2th sub: 0.31\n",
      "PCG for 3th sub: 0.32\n",
      "PCG for 4th sub: 0.08\n",
      "PCG for 5th sub: 0.0\n",
      "PCG for 6th sub: 0.41\n",
      "PCG for 7th sub: 0.12\n",
      "PCG for 8th sub: 0.27\n",
      "PCG for 9th sub: 0.36\n",
      "PCG for 10th sub: 0.46\n",
      "mCC for 1th sub: 0.12\n",
      "mCC for 2th sub: -0.03\n",
      "mCC for 3th sub: 0.34\n",
      "mCC for 4th sub: 0.22\n",
      "mCC for 5th sub: 0.39\n",
      "mCC for 6th sub: 0.84\n",
      "mCC for 7th sub: 0.09\n",
      "mCC for 8th sub: 0.39\n",
      "mCC for 9th sub: 0.18\n",
      "mCC for 10th sub: 0.24\n",
      "mOFC for 1th sub: 0.06\n",
      "mOFC for 2th sub: 0.47\n",
      "mOFC for 3th sub: 0.71\n",
      "mOFC for 4th sub: 0.87\n",
      "mOFC for 5th sub: 0.47\n",
      "mOFC for 6th sub: 0.68\n",
      "mOFC for 7th sub: -0.07\n",
      "mOFC for 8th sub: 0.89\n",
      "mOFC for 9th sub: 0.84\n",
      "mOFC for 10th sub: 0.29\n",
      "Prec for 1th sub: 0.05\n",
      "Prec for 2th sub: 0.3\n",
      "Prec for 3th sub: 0.22\n",
      "Prec for 4th sub: 0.16\n",
      "Prec for 5th sub: 0.09\n",
      "Prec for 6th sub: 0.54\n",
      "Prec for 7th sub: 0.37\n",
      "Prec for 8th sub: 0.38\n",
      "Prec for 9th sub: 0.24\n",
      "Prec for 10th sub: 0.15\n",
      "mPFC for 1th sub: 0.1\n",
      "mPFC for 2th sub: 0.22\n",
      "mPFC for 3th sub: 0.33\n",
      "mPFC for 4th sub: 0.65\n",
      "mPFC for 5th sub: 0.13\n",
      "mPFC for 6th sub: 0.17\n",
      "mPFC for 7th sub: 0.16\n",
      "mPFC for 8th sub: 0.73\n",
      "mPFC for 9th sub: 0.14\n",
      "mPFC for 10th sub: 0.02\n",
      "pSTS for 1th sub: 0.32\n",
      "pSTS for 2th sub: 0.18\n",
      "pSTS for 3th sub: 0.55\n",
      "pSTS for 4th sub: 0.18\n",
      "pSTS for 5th sub: 0.13\n",
      "pSTS for 6th sub: 0.46\n",
      "pSTS for 7th sub: 0.19\n",
      "pSTS for 8th sub: 0.55\n",
      "pSTS for 9th sub: 0.05\n",
      "pSTS for 10th sub: -0.08\n",
      "vlPFC for 1th sub: 0.22\n",
      "vlPFC for 2th sub: 0.09\n",
      "vlPFC for 3th sub: 0.46\n",
      "vlPFC for 4th sub: 0.36\n",
      "vlPFC for 5th sub: 0.35\n",
      "vlPFC for 6th sub: 0.2\n",
      "vlPFC for 7th sub: 0.22\n",
      "vlPFC for 8th sub: 0.45\n",
      "vlPFC for 9th sub: 0.42\n",
      "vlPFC for 10th sub: 0.09\n",
      "dmPFC for 1th sub: 0.12\n",
      "dmPFC for 2th sub: 0.47\n",
      "dmPFC for 3th sub: 0.37\n",
      "dmPFC for 4th sub: 0.13\n",
      "dmPFC for 5th sub: -0.05\n",
      "dmPFC for 6th sub: 0.44\n",
      "dmPFC for 7th sub: 0.13\n",
      "dmPFC for 8th sub: 0.33\n",
      "dmPFC for 9th sub: 0.35\n",
      "dmPFC for 10th sub: 0.16\n",
      "Nac for 1th sub: 0.04\n",
      "Nac for 2th sub: 0.23\n",
      "Nac for 3th sub: 0.21\n",
      "Nac for 4th sub: 0.4\n",
      "Nac for 5th sub: 0.23\n",
      "Nac for 6th sub: 0.06\n",
      "Nac for 7th sub: 0.1\n",
      "Nac for 8th sub: 0.26\n",
      "Nac for 9th sub: 0.73\n",
      "Nac for 10th sub: 0.27\n",
      "IPL for 1th sub: 0.22\n",
      "IPL for 2th sub: 0.09\n",
      "IPL for 3th sub: 0.42\n",
      "IPL for 4th sub: 0.14\n",
      "IPL for 5th sub: 0.12\n",
      "IPL for 6th sub: 0.24\n",
      "IPL for 7th sub: 0.35\n",
      "IPL for 8th sub: 0.43\n",
      "IPL for 9th sub: 0.22\n",
      "IPL for 10th sub: 0.19\n",
      "ACC for 1th sub: 0.13\n",
      "ACC for 2th sub: 0.35\n",
      "ACC for 3th sub: 0.3\n",
      "ACC for 4th sub: 0.06\n",
      "ACC for 5th sub: 0.02\n",
      "ACC for 6th sub: 0.4\n",
      "ACC for 7th sub: 0.24\n",
      "ACC for 8th sub: 0.62\n",
      "ACC for 9th sub: 0.41\n",
      "ACC for 10th sub: 0.33\n",
      "lOFC for 1th sub: 0.28\n",
      "lOFC for 2th sub: 0.19\n",
      "lOFC for 3th sub: 0.6\n",
      "lOFC for 4th sub: 0.71\n",
      "lOFC for 5th sub: 0.17\n",
      "lOFC for 6th sub: 0.06\n",
      "lOFC for 7th sub: 0.11\n",
      "lOFC for 8th sub: 0.78\n",
      "lOFC for 9th sub: 0.84\n",
      "lOFC for 10th sub: 0.05\n",
      "Put for 1th sub: 0.21\n",
      "Put for 2th sub: 0.16\n",
      "Put for 3th sub: 0.56\n",
      "Put for 4th sub: 0.14\n",
      "Put for 5th sub: 0.2\n",
      "Put for 6th sub: 0.13\n",
      "Put for 7th sub: 0.12\n",
      "Put for 8th sub: 0.4\n",
      "Put for 9th sub: 0.37\n",
      "Put for 10th sub: 0.24\n",
      "AMY for 1th sub: 0.19\n",
      "AMY for 2th sub: 0.46\n",
      "AMY for 3th sub: 0.57\n",
      "AMY for 4th sub: 0.08\n",
      "AMY for 5th sub: -0.03\n",
      "AMY for 6th sub: 0.61\n",
      "AMY for 7th sub: 0.28\n",
      "AMY for 8th sub: 0.7\n",
      "AMY for 9th sub: 0.12\n",
      "AMY for 10th sub: 0.09\n",
      "TP for 1th sub: 0.53\n",
      "TP for 2th sub: 0.47\n",
      "TP for 3th sub: 0.73\n",
      "TP for 4th sub: 0.36\n",
      "TP for 5th sub: 0.7\n",
      "TP for 6th sub: 0.34\n",
      "TP for 7th sub: 0.3\n",
      "TP for 8th sub: 0.69\n",
      "TP for 9th sub: 0.69\n",
      "TP for 10th sub: 0.61\n",
      "\n",
      "***Average across test subjects Correlation Coefficient between 3 ahead predicted and actual average BOLD values for ROIs***\n",
      "\n",
      "dlPFC: 0.12\n",
      "INS: 0.23\n",
      "VC: 0.23\n",
      "Cau: 0.22\n",
      "PCC: 0.22\n",
      "PCG: 0.25\n",
      "mCC: 0.28\n",
      "mOFC: 0.52\n",
      "Prec: 0.25\n",
      "mPFC: 0.26\n",
      "pSTS: 0.25\n",
      "vlPFC: 0.29\n",
      "dmPFC: 0.25\n",
      "Nac: 0.25\n",
      "IPL: 0.24\n",
      "ACC: 0.29\n",
      "lOFC: 0.38\n",
      "Put: 0.25\n",
      "AMY: 0.31\n",
      "TP: 0.54\n",
      "***Each Test Subject's Correlation Coefficient between 4 ahead predicted and actual average BOLD values for ROIs***\n",
      "\n",
      "dlPFC for 1th sub: 0.12\n",
      "dlPFC for 2th sub: 0.05\n",
      "dlPFC for 3th sub: 0.37\n",
      "dlPFC for 4th sub: 0.13\n",
      "dlPFC for 5th sub: 0.12\n",
      "dlPFC for 6th sub: -0.04\n",
      "dlPFC for 7th sub: 0.08\n",
      "dlPFC for 8th sub: 0.16\n",
      "dlPFC for 9th sub: 0.16\n",
      "dlPFC for 10th sub: 0.15\n",
      "INS for 1th sub: 0.23\n",
      "INS for 2th sub: 0.62\n",
      "INS for 3th sub: 0.38\n",
      "INS for 4th sub: 0.3\n",
      "INS for 5th sub: -0.09\n",
      "INS for 6th sub: 0.34\n",
      "INS for 7th sub: 0.02\n",
      "INS for 8th sub: 0.31\n",
      "INS for 9th sub: -0.12\n",
      "INS for 10th sub: 0.15\n",
      "VC for 1th sub: 0.18\n",
      "VC for 2th sub: -0.03\n",
      "VC for 3th sub: 0.2\n",
      "VC for 4th sub: 0.03\n",
      "VC for 5th sub: 0.16\n",
      "VC for 6th sub: 0.17\n",
      "VC for 7th sub: 0.06\n",
      "VC for 8th sub: 0.38\n",
      "VC for 9th sub: 0.19\n",
      "VC for 10th sub: 0.17\n",
      "Cau for 1th sub: 0.08\n",
      "Cau for 2th sub: 0.55\n",
      "Cau for 3th sub: 0.25\n",
      "Cau for 4th sub: 0.08\n",
      "Cau for 5th sub: 0.29\n",
      "Cau for 6th sub: 0.15\n",
      "Cau for 7th sub: 0.04\n",
      "Cau for 8th sub: 0.08\n",
      "Cau for 9th sub: 0.48\n",
      "Cau for 10th sub: 0.26\n",
      "PCC for 1th sub: -0.01\n",
      "PCC for 2th sub: 0.4\n",
      "PCC for 3th sub: 0.17\n",
      "PCC for 4th sub: 0.12\n",
      "PCC for 5th sub: 0.02\n",
      "PCC for 6th sub: 0.61\n",
      "PCC for 7th sub: 0.15\n",
      "PCC for 8th sub: 0.42\n",
      "PCC for 9th sub: -0.01\n",
      "PCC for 10th sub: 0.27\n",
      "PCG for 1th sub: 0.07\n",
      "PCG for 2th sub: 0.35\n",
      "PCG for 3th sub: 0.31\n",
      "PCG for 4th sub: 0.1\n",
      "PCG for 5th sub: 0.01\n",
      "PCG for 6th sub: 0.42\n",
      "PCG for 7th sub: 0.15\n",
      "PCG for 8th sub: 0.27\n",
      "PCG for 9th sub: 0.39\n",
      "PCG for 10th sub: 0.49\n",
      "mCC for 1th sub: 0.03\n",
      "mCC for 2th sub: -0.07\n",
      "mCC for 3th sub: 0.28\n",
      "mCC for 4th sub: 0.14\n",
      "mCC for 5th sub: 0.4\n",
      "mCC for 6th sub: 0.84\n",
      "mCC for 7th sub: 0.13\n",
      "mCC for 8th sub: 0.39\n",
      "mCC for 9th sub: 0.09\n",
      "mCC for 10th sub: 0.2\n",
      "mOFC for 1th sub: 0.0\n",
      "mOFC for 2th sub: 0.52\n",
      "mOFC for 3th sub: 0.7\n",
      "mOFC for 4th sub: 0.87\n",
      "mOFC for 5th sub: 0.42\n",
      "mOFC for 6th sub: 0.68\n",
      "mOFC for 7th sub: -0.18\n",
      "mOFC for 8th sub: 0.88\n",
      "mOFC for 9th sub: 0.81\n",
      "mOFC for 10th sub: 0.23\n",
      "Prec for 1th sub: -0.04\n",
      "Prec for 2th sub: 0.31\n",
      "Prec for 3th sub: 0.07\n",
      "Prec for 4th sub: 0.11\n",
      "Prec for 5th sub: 0.12\n",
      "Prec for 6th sub: 0.54\n",
      "Prec for 7th sub: 0.4\n",
      "Prec for 8th sub: 0.32\n",
      "Prec for 9th sub: 0.21\n",
      "Prec for 10th sub: 0.11\n",
      "mPFC for 1th sub: 0.1\n",
      "mPFC for 2th sub: 0.21\n",
      "mPFC for 3th sub: 0.37\n",
      "mPFC for 4th sub: 0.64\n",
      "mPFC for 5th sub: 0.14\n",
      "mPFC for 6th sub: 0.19\n",
      "mPFC for 7th sub: 0.11\n",
      "mPFC for 8th sub: 0.68\n",
      "mPFC for 9th sub: 0.18\n",
      "mPFC for 10th sub: -0.07\n",
      "pSTS for 1th sub: 0.3\n",
      "pSTS for 2th sub: 0.19\n",
      "pSTS for 3th sub: 0.51\n",
      "pSTS for 4th sub: 0.16\n",
      "pSTS for 5th sub: 0.12\n",
      "pSTS for 6th sub: 0.45\n",
      "pSTS for 7th sub: 0.19\n",
      "pSTS for 8th sub: 0.51\n",
      "pSTS for 9th sub: -0.01\n",
      "pSTS for 10th sub: -0.08\n",
      "vlPFC for 1th sub: 0.18\n",
      "vlPFC for 2th sub: 0.06\n",
      "vlPFC for 3th sub: 0.39\n",
      "vlPFC for 4th sub: 0.35\n",
      "vlPFC for 5th sub: 0.36\n",
      "vlPFC for 6th sub: 0.23\n",
      "vlPFC for 7th sub: 0.21\n",
      "vlPFC for 8th sub: 0.41\n",
      "vlPFC for 9th sub: 0.4\n",
      "vlPFC for 10th sub: 0.02\n",
      "dmPFC for 1th sub: 0.14\n",
      "dmPFC for 2th sub: 0.53\n",
      "dmPFC for 3th sub: 0.34\n",
      "dmPFC for 4th sub: 0.1\n",
      "dmPFC for 5th sub: -0.05\n",
      "dmPFC for 6th sub: 0.45\n",
      "dmPFC for 7th sub: 0.11\n",
      "dmPFC for 8th sub: 0.28\n",
      "dmPFC for 9th sub: 0.36\n",
      "dmPFC for 10th sub: 0.16\n",
      "Nac for 1th sub: 0.08\n",
      "Nac for 2th sub: 0.26\n",
      "Nac for 3th sub: 0.23\n",
      "Nac for 4th sub: 0.35\n",
      "Nac for 5th sub: 0.24\n",
      "Nac for 6th sub: 0.12\n",
      "Nac for 7th sub: 0.1\n",
      "Nac for 8th sub: 0.23\n",
      "Nac for 9th sub: 0.72\n",
      "Nac for 10th sub: 0.22\n",
      "IPL for 1th sub: 0.08\n",
      "IPL for 2th sub: 0.1\n",
      "IPL for 3th sub: 0.33\n",
      "IPL for 4th sub: 0.09\n",
      "IPL for 5th sub: -0.03\n",
      "IPL for 6th sub: 0.17\n",
      "IPL for 7th sub: 0.24\n",
      "IPL for 8th sub: 0.34\n",
      "IPL for 9th sub: 0.15\n",
      "IPL for 10th sub: 0.2\n",
      "ACC for 1th sub: 0.06\n",
      "ACC for 2th sub: 0.36\n",
      "ACC for 3th sub: 0.29\n",
      "ACC for 4th sub: 0.03\n",
      "ACC for 5th sub: 0.03\n",
      "ACC for 6th sub: 0.33\n",
      "ACC for 7th sub: 0.24\n",
      "ACC for 8th sub: 0.57\n",
      "ACC for 9th sub: 0.4\n",
      "ACC for 10th sub: 0.29\n",
      "lOFC for 1th sub: 0.29\n",
      "lOFC for 2th sub: 0.15\n",
      "lOFC for 3th sub: 0.59\n",
      "lOFC for 4th sub: 0.71\n",
      "lOFC for 5th sub: 0.15\n",
      "lOFC for 6th sub: 0.12\n",
      "lOFC for 7th sub: 0.07\n",
      "lOFC for 8th sub: 0.77\n",
      "lOFC for 9th sub: 0.82\n",
      "lOFC for 10th sub: -0.04\n",
      "Put for 1th sub: 0.17\n",
      "Put for 2th sub: 0.16\n",
      "Put for 3th sub: 0.53\n",
      "Put for 4th sub: 0.16\n",
      "Put for 5th sub: 0.16\n",
      "Put for 6th sub: 0.14\n",
      "Put for 7th sub: 0.15\n",
      "Put for 8th sub: 0.33\n",
      "Put for 9th sub: 0.39\n",
      "Put for 10th sub: 0.3\n",
      "AMY for 1th sub: 0.18\n",
      "AMY for 2th sub: 0.59\n",
      "AMY for 3th sub: 0.57\n",
      "AMY for 4th sub: 0.05\n",
      "AMY for 5th sub: -0.06\n",
      "AMY for 6th sub: 0.53\n",
      "AMY for 7th sub: 0.23\n",
      "AMY for 8th sub: 0.69\n",
      "AMY for 9th sub: 0.12\n",
      "AMY for 10th sub: 0.03\n",
      "TP for 1th sub: 0.51\n",
      "TP for 2th sub: 0.45\n",
      "TP for 3th sub: 0.72\n",
      "TP for 4th sub: 0.36\n",
      "TP for 5th sub: 0.72\n",
      "TP for 6th sub: 0.28\n",
      "TP for 7th sub: 0.27\n",
      "TP for 8th sub: 0.64\n",
      "TP for 9th sub: 0.7\n",
      "TP for 10th sub: 0.58\n",
      "\n",
      "***Average across test subjects Correlation Coefficient between 4 ahead predicted and actual average BOLD values for ROIs***\n",
      "\n",
      "dlPFC: 0.13\n",
      "INS: 0.21\n",
      "VC: 0.15\n",
      "Cau: 0.23\n",
      "PCC: 0.21\n",
      "PCG: 0.26\n",
      "mCC: 0.24\n",
      "mOFC: 0.49\n",
      "Prec: 0.21\n",
      "mPFC: 0.25\n",
      "pSTS: 0.24\n",
      "vlPFC: 0.26\n",
      "dmPFC: 0.24\n",
      "Nac: 0.25\n",
      "IPL: 0.17\n",
      "ACC: 0.26\n",
      "lOFC: 0.36\n",
      "Put: 0.25\n",
      "AMY: 0.29\n",
      "TP: 0.52\n",
      "***Each Test Subject's Correlation Coefficient between 5 ahead predicted and actual average BOLD values for ROIs***\n",
      "\n",
      "dlPFC for 1th sub: 0.12\n",
      "dlPFC for 2th sub: 0.09\n",
      "dlPFC for 3th sub: 0.34\n",
      "dlPFC for 4th sub: 0.11\n",
      "dlPFC for 5th sub: 0.15\n",
      "dlPFC for 6th sub: -0.07\n",
      "dlPFC for 7th sub: 0.1\n",
      "dlPFC for 8th sub: 0.14\n",
      "dlPFC for 9th sub: 0.19\n",
      "dlPFC for 10th sub: 0.11\n",
      "INS for 1th sub: 0.22\n",
      "INS for 2th sub: 0.63\n",
      "INS for 3th sub: 0.31\n",
      "INS for 4th sub: 0.27\n",
      "INS for 5th sub: -0.07\n",
      "INS for 6th sub: 0.37\n",
      "INS for 7th sub: 0.04\n",
      "INS for 8th sub: 0.19\n",
      "INS for 9th sub: -0.1\n",
      "INS for 10th sub: 0.14\n",
      "VC for 1th sub: 0.14\n",
      "VC for 2th sub: -0.06\n",
      "VC for 3th sub: 0.1\n",
      "VC for 4th sub: -0.05\n",
      "VC for 5th sub: 0.1\n",
      "VC for 6th sub: 0.16\n",
      "VC for 7th sub: 0.07\n",
      "VC for 8th sub: 0.34\n",
      "VC for 9th sub: 0.19\n",
      "VC for 10th sub: 0.18\n",
      "Cau for 1th sub: 0.03\n",
      "Cau for 2th sub: 0.6\n",
      "Cau for 3th sub: 0.23\n",
      "Cau for 4th sub: 0.0\n",
      "Cau for 5th sub: 0.31\n",
      "Cau for 6th sub: 0.17\n",
      "Cau for 7th sub: 0.04\n",
      "Cau for 8th sub: 0.1\n",
      "Cau for 9th sub: 0.46\n",
      "Cau for 10th sub: 0.25\n",
      "PCC for 1th sub: -0.06\n",
      "PCC for 2th sub: 0.36\n",
      "PCC for 3th sub: 0.09\n",
      "PCC for 4th sub: 0.13\n",
      "PCC for 5th sub: 0.02\n",
      "PCC for 6th sub: 0.55\n",
      "PCC for 7th sub: 0.15\n",
      "PCC for 8th sub: 0.36\n",
      "PCC for 9th sub: -0.01\n",
      "PCC for 10th sub: 0.24\n",
      "PCG for 1th sub: -0.04\n",
      "PCG for 2th sub: 0.37\n",
      "PCG for 3th sub: 0.31\n",
      "PCG for 4th sub: 0.11\n",
      "PCG for 5th sub: -0.03\n",
      "PCG for 6th sub: 0.35\n",
      "PCG for 7th sub: 0.25\n",
      "PCG for 8th sub: 0.25\n",
      "PCG for 9th sub: 0.41\n",
      "PCG for 10th sub: 0.54\n",
      "mCC for 1th sub: -0.04\n",
      "mCC for 2th sub: -0.08\n",
      "mCC for 3th sub: 0.17\n",
      "mCC for 4th sub: 0.16\n",
      "mCC for 5th sub: 0.4\n",
      "mCC for 6th sub: 0.85\n",
      "mCC for 7th sub: 0.14\n",
      "mCC for 8th sub: 0.36\n",
      "mCC for 9th sub: 0.06\n",
      "mCC for 10th sub: 0.14\n",
      "mOFC for 1th sub: -0.0\n",
      "mOFC for 2th sub: 0.52\n",
      "mOFC for 3th sub: 0.69\n",
      "mOFC for 4th sub: 0.86\n",
      "mOFC for 5th sub: 0.39\n",
      "mOFC for 6th sub: 0.66\n",
      "mOFC for 7th sub: -0.12\n",
      "mOFC for 8th sub: 0.87\n",
      "mOFC for 9th sub: 0.78\n",
      "mOFC for 10th sub: 0.21\n",
      "Prec for 1th sub: -0.08\n",
      "Prec for 2th sub: 0.3\n",
      "Prec for 3th sub: -0.02\n",
      "Prec for 4th sub: 0.09\n",
      "Prec for 5th sub: 0.11\n",
      "Prec for 6th sub: 0.49\n",
      "Prec for 7th sub: 0.35\n",
      "Prec for 8th sub: 0.27\n",
      "Prec for 9th sub: 0.16\n",
      "Prec for 10th sub: 0.13\n",
      "mPFC for 1th sub: -0.01\n",
      "mPFC for 2th sub: 0.21\n",
      "mPFC for 3th sub: 0.41\n",
      "mPFC for 4th sub: 0.6\n",
      "mPFC for 5th sub: 0.23\n",
      "mPFC for 6th sub: 0.21\n",
      "mPFC for 7th sub: 0.08\n",
      "mPFC for 8th sub: 0.63\n",
      "mPFC for 9th sub: 0.22\n",
      "mPFC for 10th sub: -0.09\n",
      "pSTS for 1th sub: 0.27\n",
      "pSTS for 2th sub: 0.21\n",
      "pSTS for 3th sub: 0.47\n",
      "pSTS for 4th sub: 0.17\n",
      "pSTS for 5th sub: 0.1\n",
      "pSTS for 6th sub: 0.42\n",
      "pSTS for 7th sub: 0.18\n",
      "pSTS for 8th sub: 0.5\n",
      "pSTS for 9th sub: 0.05\n",
      "pSTS for 10th sub: -0.0\n",
      "vlPFC for 1th sub: 0.13\n",
      "vlPFC for 2th sub: 0.08\n",
      "vlPFC for 3th sub: 0.32\n",
      "vlPFC for 4th sub: 0.37\n",
      "vlPFC for 5th sub: 0.35\n",
      "vlPFC for 6th sub: 0.21\n",
      "vlPFC for 7th sub: 0.16\n",
      "vlPFC for 8th sub: 0.36\n",
      "vlPFC for 9th sub: 0.38\n",
      "vlPFC for 10th sub: 0.06\n",
      "dmPFC for 1th sub: 0.19\n",
      "dmPFC for 2th sub: 0.54\n",
      "dmPFC for 3th sub: 0.32\n",
      "dmPFC for 4th sub: 0.17\n",
      "dmPFC for 5th sub: -0.03\n",
      "dmPFC for 6th sub: 0.51\n",
      "dmPFC for 7th sub: 0.04\n",
      "dmPFC for 8th sub: 0.26\n",
      "dmPFC for 9th sub: 0.43\n",
      "dmPFC for 10th sub: 0.13\n",
      "Nac for 1th sub: 0.03\n",
      "Nac for 2th sub: 0.3\n",
      "Nac for 3th sub: 0.23\n",
      "Nac for 4th sub: 0.32\n",
      "Nac for 5th sub: 0.28\n",
      "Nac for 6th sub: 0.17\n",
      "Nac for 7th sub: 0.08\n",
      "Nac for 8th sub: 0.23\n",
      "Nac for 9th sub: 0.72\n",
      "Nac for 10th sub: 0.2\n",
      "IPL for 1th sub: 0.0\n",
      "IPL for 2th sub: 0.1\n",
      "IPL for 3th sub: 0.29\n",
      "IPL for 4th sub: 0.01\n",
      "IPL for 5th sub: -0.13\n",
      "IPL for 6th sub: 0.09\n",
      "IPL for 7th sub: 0.21\n",
      "IPL for 8th sub: 0.27\n",
      "IPL for 9th sub: 0.11\n",
      "IPL for 10th sub: 0.22\n",
      "ACC for 1th sub: 0.06\n",
      "ACC for 2th sub: 0.43\n",
      "ACC for 3th sub: 0.31\n",
      "ACC for 4th sub: 0.05\n",
      "ACC for 5th sub: 0.03\n",
      "ACC for 6th sub: 0.38\n",
      "ACC for 7th sub: 0.21\n",
      "ACC for 8th sub: 0.54\n",
      "ACC for 9th sub: 0.43\n",
      "ACC for 10th sub: 0.31\n",
      "lOFC for 1th sub: 0.4\n",
      "lOFC for 2th sub: 0.14\n",
      "lOFC for 3th sub: 0.56\n",
      "lOFC for 4th sub: 0.69\n",
      "lOFC for 5th sub: 0.17\n",
      "lOFC for 6th sub: 0.13\n",
      "lOFC for 7th sub: 0.1\n",
      "lOFC for 8th sub: 0.79\n",
      "lOFC for 9th sub: 0.8\n",
      "lOFC for 10th sub: -0.03\n",
      "Put for 1th sub: 0.11\n",
      "Put for 2th sub: 0.13\n",
      "Put for 3th sub: 0.52\n",
      "Put for 4th sub: 0.09\n",
      "Put for 5th sub: 0.14\n",
      "Put for 6th sub: 0.12\n",
      "Put for 7th sub: 0.06\n",
      "Put for 8th sub: 0.3\n",
      "Put for 9th sub: 0.37\n",
      "Put for 10th sub: 0.23\n",
      "AMY for 1th sub: 0.07\n",
      "AMY for 2th sub: 0.6\n",
      "AMY for 3th sub: 0.57\n",
      "AMY for 4th sub: 0.1\n",
      "AMY for 5th sub: -0.11\n",
      "AMY for 6th sub: 0.55\n",
      "AMY for 7th sub: 0.22\n",
      "AMY for 8th sub: 0.68\n",
      "AMY for 9th sub: 0.13\n",
      "AMY for 10th sub: 0.14\n",
      "TP for 1th sub: 0.45\n",
      "TP for 2th sub: 0.5\n",
      "TP for 3th sub: 0.71\n",
      "TP for 4th sub: 0.34\n",
      "TP for 5th sub: 0.7\n",
      "TP for 6th sub: 0.21\n",
      "TP for 7th sub: 0.29\n",
      "TP for 8th sub: 0.63\n",
      "TP for 9th sub: 0.68\n",
      "TP for 10th sub: 0.57\n",
      "\n",
      "***Average across test subjects Correlation Coefficient between 5 ahead predicted and actual average BOLD values for ROIs***\n",
      "\n",
      "dlPFC: 0.13\n",
      "INS: 0.2\n",
      "VC: 0.12\n",
      "Cau: 0.22\n",
      "PCC: 0.18\n",
      "PCG: 0.25\n",
      "mCC: 0.21\n",
      "mOFC: 0.49\n",
      "Prec: 0.18\n",
      "mPFC: 0.25\n",
      "pSTS: 0.24\n",
      "vlPFC: 0.24\n",
      "dmPFC: 0.26\n",
      "Nac: 0.26\n",
      "IPL: 0.12\n",
      "ACC: 0.27\n",
      "lOFC: 0.38\n",
      "Put: 0.21\n",
      "AMY: 0.29\n",
      "TP: 0.51\n",
      "***Each Test Subject's Correlation Coefficient between 6 ahead predicted and actual average BOLD values for ROIs***\n",
      "\n",
      "dlPFC for 1th sub: -0.0\n",
      "dlPFC for 2th sub: 0.15\n",
      "dlPFC for 3th sub: 0.3\n",
      "dlPFC for 4th sub: 0.12\n",
      "dlPFC for 5th sub: 0.25\n",
      "dlPFC for 6th sub: 0.0\n",
      "dlPFC for 7th sub: 0.05\n",
      "dlPFC for 8th sub: 0.12\n",
      "dlPFC for 9th sub: 0.24\n",
      "dlPFC for 10th sub: 0.1\n",
      "INS for 1th sub: 0.15\n",
      "INS for 2th sub: 0.63\n",
      "INS for 3th sub: 0.24\n",
      "INS for 4th sub: 0.19\n",
      "INS for 5th sub: -0.0\n",
      "INS for 6th sub: 0.34\n",
      "INS for 7th sub: 0.07\n",
      "INS for 8th sub: 0.15\n",
      "INS for 9th sub: -0.03\n",
      "INS for 10th sub: 0.16\n",
      "VC for 1th sub: 0.13\n",
      "VC for 2th sub: -0.02\n",
      "VC for 3th sub: 0.05\n",
      "VC for 4th sub: -0.04\n",
      "VC for 5th sub: 0.02\n",
      "VC for 6th sub: 0.17\n",
      "VC for 7th sub: 0.1\n",
      "VC for 8th sub: 0.33\n",
      "VC for 9th sub: 0.18\n",
      "VC for 10th sub: 0.21\n",
      "Cau for 1th sub: -0.01\n",
      "Cau for 2th sub: 0.62\n",
      "Cau for 3th sub: 0.19\n",
      "Cau for 4th sub: 0.05\n",
      "Cau for 5th sub: 0.36\n",
      "Cau for 6th sub: 0.11\n",
      "Cau for 7th sub: 0.03\n",
      "Cau for 8th sub: 0.05\n",
      "Cau for 9th sub: 0.47\n",
      "Cau for 10th sub: 0.21\n",
      "PCC for 1th sub: -0.07\n",
      "PCC for 2th sub: 0.38\n",
      "PCC for 3th sub: 0.05\n",
      "PCC for 4th sub: 0.18\n",
      "PCC for 5th sub: 0.08\n",
      "PCC for 6th sub: 0.55\n",
      "PCC for 7th sub: 0.11\n",
      "PCC for 8th sub: 0.33\n",
      "PCC for 9th sub: -0.03\n",
      "PCC for 10th sub: 0.24\n",
      "PCG for 1th sub: -0.12\n",
      "PCG for 2th sub: 0.37\n",
      "PCG for 3th sub: 0.31\n",
      "PCG for 4th sub: 0.08\n",
      "PCG for 5th sub: -0.02\n",
      "PCG for 6th sub: 0.33\n",
      "PCG for 7th sub: 0.21\n",
      "PCG for 8th sub: 0.17\n",
      "PCG for 9th sub: 0.41\n",
      "PCG for 10th sub: 0.51\n",
      "mCC for 1th sub: -0.07\n",
      "mCC for 2th sub: -0.07\n",
      "mCC for 3th sub: 0.15\n",
      "mCC for 4th sub: 0.21\n",
      "mCC for 5th sub: 0.44\n",
      "mCC for 6th sub: 0.84\n",
      "mCC for 7th sub: 0.06\n",
      "mCC for 8th sub: 0.32\n",
      "mCC for 9th sub: 0.04\n",
      "mCC for 10th sub: 0.2\n",
      "mOFC for 1th sub: 0.06\n",
      "mOFC for 2th sub: 0.45\n",
      "mOFC for 3th sub: 0.68\n",
      "mOFC for 4th sub: 0.85\n",
      "mOFC for 5th sub: 0.36\n",
      "mOFC for 6th sub: 0.67\n",
      "mOFC for 7th sub: -0.08\n",
      "mOFC for 8th sub: 0.86\n",
      "mOFC for 9th sub: 0.76\n",
      "mOFC for 10th sub: 0.18\n",
      "Prec for 1th sub: -0.09\n",
      "Prec for 2th sub: 0.32\n",
      "Prec for 3th sub: -0.08\n",
      "Prec for 4th sub: 0.09\n",
      "Prec for 5th sub: 0.1\n",
      "Prec for 6th sub: 0.49\n",
      "Prec for 7th sub: 0.29\n",
      "Prec for 8th sub: 0.23\n",
      "Prec for 9th sub: 0.15\n",
      "Prec for 10th sub: 0.18\n",
      "mPFC for 1th sub: 0.07\n",
      "mPFC for 2th sub: 0.26\n",
      "mPFC for 3th sub: 0.45\n",
      "mPFC for 4th sub: 0.58\n",
      "mPFC for 5th sub: 0.26\n",
      "mPFC for 6th sub: 0.17\n",
      "mPFC for 7th sub: 0.05\n",
      "mPFC for 8th sub: 0.58\n",
      "mPFC for 9th sub: 0.2\n",
      "mPFC for 10th sub: -0.13\n",
      "pSTS for 1th sub: 0.25\n",
      "pSTS for 2th sub: 0.24\n",
      "pSTS for 3th sub: 0.39\n",
      "pSTS for 4th sub: 0.19\n",
      "pSTS for 5th sub: 0.09\n",
      "pSTS for 6th sub: 0.37\n",
      "pSTS for 7th sub: 0.16\n",
      "pSTS for 8th sub: 0.45\n",
      "pSTS for 9th sub: 0.1\n",
      "pSTS for 10th sub: 0.03\n",
      "vlPFC for 1th sub: 0.06\n",
      "vlPFC for 2th sub: 0.16\n",
      "vlPFC for 3th sub: 0.23\n",
      "vlPFC for 4th sub: 0.41\n",
      "vlPFC for 5th sub: 0.37\n",
      "vlPFC for 6th sub: 0.18\n",
      "vlPFC for 7th sub: 0.11\n",
      "vlPFC for 8th sub: 0.28\n",
      "vlPFC for 9th sub: 0.36\n",
      "vlPFC for 10th sub: 0.05\n",
      "dmPFC for 1th sub: 0.07\n",
      "dmPFC for 2th sub: 0.56\n",
      "dmPFC for 3th sub: 0.29\n",
      "dmPFC for 4th sub: 0.23\n",
      "dmPFC for 5th sub: 0.04\n",
      "dmPFC for 6th sub: 0.43\n",
      "dmPFC for 7th sub: -0.04\n",
      "dmPFC for 8th sub: 0.22\n",
      "dmPFC for 9th sub: 0.33\n",
      "dmPFC for 10th sub: 0.16\n",
      "Nac for 1th sub: 0.04\n",
      "Nac for 2th sub: 0.35\n",
      "Nac for 3th sub: 0.23\n",
      "Nac for 4th sub: 0.32\n",
      "Nac for 5th sub: 0.32\n",
      "Nac for 6th sub: 0.16\n",
      "Nac for 7th sub: 0.09\n",
      "Nac for 8th sub: 0.18\n",
      "Nac for 9th sub: 0.7\n",
      "Nac for 10th sub: 0.1\n",
      "IPL for 1th sub: -0.05\n",
      "IPL for 2th sub: 0.1\n",
      "IPL for 3th sub: 0.2\n",
      "IPL for 4th sub: 0.03\n",
      "IPL for 5th sub: -0.17\n",
      "IPL for 6th sub: 0.12\n",
      "IPL for 7th sub: 0.15\n",
      "IPL for 8th sub: 0.21\n",
      "IPL for 9th sub: 0.15\n",
      "IPL for 10th sub: 0.25\n",
      "ACC for 1th sub: 0.01\n",
      "ACC for 2th sub: 0.47\n",
      "ACC for 3th sub: 0.34\n",
      "ACC for 4th sub: 0.09\n",
      "ACC for 5th sub: 0.05\n",
      "ACC for 6th sub: 0.46\n",
      "ACC for 7th sub: 0.24\n",
      "ACC for 8th sub: 0.52\n",
      "ACC for 9th sub: 0.43\n",
      "ACC for 10th sub: 0.27\n",
      "lOFC for 1th sub: 0.43\n",
      "lOFC for 2th sub: 0.18\n",
      "lOFC for 3th sub: 0.56\n",
      "lOFC for 4th sub: 0.69\n",
      "lOFC for 5th sub: 0.17\n",
      "lOFC for 6th sub: 0.14\n",
      "lOFC for 7th sub: 0.11\n",
      "lOFC for 8th sub: 0.81\n",
      "lOFC for 9th sub: 0.78\n",
      "lOFC for 10th sub: -0.01\n",
      "Put for 1th sub: 0.01\n",
      "Put for 2th sub: 0.01\n",
      "Put for 3th sub: 0.51\n",
      "Put for 4th sub: -0.07\n",
      "Put for 5th sub: 0.15\n",
      "Put for 6th sub: 0.07\n",
      "Put for 7th sub: 0.02\n",
      "Put for 8th sub: 0.31\n",
      "Put for 9th sub: 0.32\n",
      "Put for 10th sub: 0.14\n",
      "AMY for 1th sub: -0.01\n",
      "AMY for 2th sub: 0.57\n",
      "AMY for 3th sub: 0.57\n",
      "AMY for 4th sub: 0.07\n",
      "AMY for 5th sub: -0.12\n",
      "AMY for 6th sub: 0.54\n",
      "AMY for 7th sub: 0.19\n",
      "AMY for 8th sub: 0.67\n",
      "AMY for 9th sub: 0.15\n",
      "AMY for 10th sub: 0.16\n",
      "TP for 1th sub: 0.47\n",
      "TP for 2th sub: 0.5\n",
      "TP for 3th sub: 0.7\n",
      "TP for 4th sub: 0.3\n",
      "TP for 5th sub: 0.71\n",
      "TP for 6th sub: 0.26\n",
      "TP for 7th sub: 0.26\n",
      "TP for 8th sub: 0.62\n",
      "TP for 9th sub: 0.68\n",
      "TP for 10th sub: 0.61\n",
      "\n",
      "***Average across test subjects Correlation Coefficient between 6 ahead predicted and actual average BOLD values for ROIs***\n",
      "\n",
      "dlPFC: 0.13\n",
      "INS: 0.19\n",
      "VC: 0.11\n",
      "Cau: 0.21\n",
      "PCC: 0.18\n",
      "PCG: 0.22\n",
      "mCC: 0.21\n",
      "mOFC: 0.48\n",
      "Prec: 0.17\n",
      "mPFC: 0.25\n",
      "pSTS: 0.23\n",
      "vlPFC: 0.22\n",
      "dmPFC: 0.23\n",
      "Nac: 0.25\n",
      "IPL: 0.1\n",
      "ACC: 0.29\n",
      "lOFC: 0.39\n",
      "Put: 0.15\n",
      "AMY: 0.28\n",
      "TP: 0.51\n",
      "***Each Test Subject's Correlation Coefficient between 7 ahead predicted and actual average BOLD values for ROIs***\n",
      "\n",
      "dlPFC for 1th sub: -0.08\n",
      "dlPFC for 2th sub: 0.16\n",
      "dlPFC for 3th sub: 0.24\n",
      "dlPFC for 4th sub: 0.12\n",
      "dlPFC for 5th sub: 0.25\n",
      "dlPFC for 6th sub: 0.17\n",
      "dlPFC for 7th sub: -0.01\n",
      "dlPFC for 8th sub: 0.12\n",
      "dlPFC for 9th sub: 0.28\n",
      "dlPFC for 10th sub: 0.14\n",
      "INS for 1th sub: 0.11\n",
      "INS for 2th sub: 0.63\n",
      "INS for 3th sub: 0.13\n",
      "INS for 4th sub: 0.21\n",
      "INS for 5th sub: 0.03\n",
      "INS for 6th sub: 0.32\n",
      "INS for 7th sub: 0.05\n",
      "INS for 8th sub: 0.08\n",
      "INS for 9th sub: -0.05\n",
      "INS for 10th sub: 0.14\n",
      "VC for 1th sub: 0.1\n",
      "VC for 2th sub: 0.03\n",
      "VC for 3th sub: 0.01\n",
      "VC for 4th sub: -0.05\n",
      "VC for 5th sub: -0.05\n",
      "VC for 6th sub: 0.17\n",
      "VC for 7th sub: 0.09\n",
      "VC for 8th sub: 0.25\n",
      "VC for 9th sub: 0.17\n",
      "VC for 10th sub: 0.17\n",
      "Cau for 1th sub: 0.16\n",
      "Cau for 2th sub: 0.62\n",
      "Cau for 3th sub: 0.11\n",
      "Cau for 4th sub: 0.13\n",
      "Cau for 5th sub: 0.41\n",
      "Cau for 6th sub: 0.14\n",
      "Cau for 7th sub: 0.04\n",
      "Cau for 8th sub: -0.03\n",
      "Cau for 9th sub: 0.43\n",
      "Cau for 10th sub: 0.2\n",
      "PCC for 1th sub: -0.14\n",
      "PCC for 2th sub: 0.41\n",
      "PCC for 3th sub: 0.03\n",
      "PCC for 4th sub: 0.23\n",
      "PCC for 5th sub: 0.1\n",
      "PCC for 6th sub: 0.54\n",
      "PCC for 7th sub: 0.06\n",
      "PCC for 8th sub: 0.26\n",
      "PCC for 9th sub: -0.06\n",
      "PCC for 10th sub: 0.25\n",
      "PCG for 1th sub: -0.03\n",
      "PCG for 2th sub: 0.39\n",
      "PCG for 3th sub: 0.28\n",
      "PCG for 4th sub: 0.02\n",
      "PCG for 5th sub: -0.03\n",
      "PCG for 6th sub: 0.37\n",
      "PCG for 7th sub: 0.17\n",
      "PCG for 8th sub: 0.11\n",
      "PCG for 9th sub: 0.45\n",
      "PCG for 10th sub: 0.46\n",
      "mCC for 1th sub: -0.04\n",
      "mCC for 2th sub: -0.04\n",
      "mCC for 3th sub: 0.05\n",
      "mCC for 4th sub: 0.13\n",
      "mCC for 5th sub: 0.42\n",
      "mCC for 6th sub: 0.83\n",
      "mCC for 7th sub: 0.07\n",
      "mCC for 8th sub: 0.21\n",
      "mCC for 9th sub: 0.06\n",
      "mCC for 10th sub: 0.22\n",
      "mOFC for 1th sub: 0.02\n",
      "mOFC for 2th sub: 0.43\n",
      "mOFC for 3th sub: 0.67\n",
      "mOFC for 4th sub: 0.85\n",
      "mOFC for 5th sub: 0.34\n",
      "mOFC for 6th sub: 0.67\n",
      "mOFC for 7th sub: -0.14\n",
      "mOFC for 8th sub: 0.84\n",
      "mOFC for 9th sub: 0.73\n",
      "mOFC for 10th sub: 0.15\n",
      "Prec for 1th sub: -0.1\n",
      "Prec for 2th sub: 0.34\n",
      "Prec for 3th sub: -0.11\n",
      "Prec for 4th sub: 0.11\n",
      "Prec for 5th sub: 0.06\n",
      "Prec for 6th sub: 0.49\n",
      "Prec for 7th sub: 0.27\n",
      "Prec for 8th sub: 0.2\n",
      "Prec for 9th sub: 0.11\n",
      "Prec for 10th sub: 0.21\n",
      "mPFC for 1th sub: 0.22\n",
      "mPFC for 2th sub: 0.24\n",
      "mPFC for 3th sub: 0.48\n",
      "mPFC for 4th sub: 0.55\n",
      "mPFC for 5th sub: 0.25\n",
      "mPFC for 6th sub: 0.09\n",
      "mPFC for 7th sub: 0.03\n",
      "mPFC for 8th sub: 0.52\n",
      "mPFC for 9th sub: 0.16\n",
      "mPFC for 10th sub: -0.17\n",
      "pSTS for 1th sub: 0.24\n",
      "pSTS for 2th sub: 0.24\n",
      "pSTS for 3th sub: 0.32\n",
      "pSTS for 4th sub: 0.18\n",
      "pSTS for 5th sub: 0.07\n",
      "pSTS for 6th sub: 0.35\n",
      "pSTS for 7th sub: 0.12\n",
      "pSTS for 8th sub: 0.41\n",
      "pSTS for 9th sub: 0.06\n",
      "pSTS for 10th sub: -0.02\n",
      "vlPFC for 1th sub: 0.06\n",
      "vlPFC for 2th sub: 0.14\n",
      "vlPFC for 3th sub: 0.14\n",
      "vlPFC for 4th sub: 0.38\n",
      "vlPFC for 5th sub: 0.4\n",
      "vlPFC for 6th sub: 0.13\n",
      "vlPFC for 7th sub: 0.07\n",
      "vlPFC for 8th sub: 0.15\n",
      "vlPFC for 9th sub: 0.34\n",
      "vlPFC for 10th sub: 0.03\n",
      "dmPFC for 1th sub: 0.12\n",
      "dmPFC for 2th sub: 0.56\n",
      "dmPFC for 3th sub: 0.26\n",
      "dmPFC for 4th sub: 0.1\n",
      "dmPFC for 5th sub: 0.09\n",
      "dmPFC for 6th sub: 0.36\n",
      "dmPFC for 7th sub: -0.06\n",
      "dmPFC for 8th sub: 0.16\n",
      "dmPFC for 9th sub: 0.35\n",
      "dmPFC for 10th sub: 0.16\n",
      "Nac for 1th sub: 0.16\n",
      "Nac for 2th sub: 0.36\n",
      "Nac for 3th sub: 0.15\n",
      "Nac for 4th sub: 0.37\n",
      "Nac for 5th sub: 0.37\n",
      "Nac for 6th sub: 0.18\n",
      "Nac for 7th sub: 0.09\n",
      "Nac for 8th sub: 0.11\n",
      "Nac for 9th sub: 0.69\n",
      "Nac for 10th sub: 0.1\n",
      "IPL for 1th sub: -0.1\n",
      "IPL for 2th sub: 0.13\n",
      "IPL for 3th sub: 0.11\n",
      "IPL for 4th sub: 0.01\n",
      "IPL for 5th sub: -0.15\n",
      "IPL for 6th sub: 0.14\n",
      "IPL for 7th sub: 0.11\n",
      "IPL for 8th sub: 0.13\n",
      "IPL for 9th sub: 0.11\n",
      "IPL for 10th sub: 0.24\n",
      "ACC for 1th sub: 0.11\n",
      "ACC for 2th sub: 0.44\n",
      "ACC for 3th sub: 0.35\n",
      "ACC for 4th sub: 0.16\n",
      "ACC for 5th sub: 0.1\n",
      "ACC for 6th sub: 0.41\n",
      "ACC for 7th sub: 0.27\n",
      "ACC for 8th sub: 0.48\n",
      "ACC for 9th sub: 0.37\n",
      "ACC for 10th sub: 0.26\n",
      "lOFC for 1th sub: 0.42\n",
      "lOFC for 2th sub: 0.12\n",
      "lOFC for 3th sub: 0.55\n",
      "lOFC for 4th sub: 0.68\n",
      "lOFC for 5th sub: 0.1\n",
      "lOFC for 6th sub: 0.15\n",
      "lOFC for 7th sub: 0.09\n",
      "lOFC for 8th sub: 0.8\n",
      "lOFC for 9th sub: 0.76\n",
      "lOFC for 10th sub: -0.04\n",
      "Put for 1th sub: -0.02\n",
      "Put for 2th sub: 0.07\n",
      "Put for 3th sub: 0.47\n",
      "Put for 4th sub: 0.01\n",
      "Put for 5th sub: 0.18\n",
      "Put for 6th sub: 0.1\n",
      "Put for 7th sub: -0.01\n",
      "Put for 8th sub: 0.27\n",
      "Put for 9th sub: 0.3\n",
      "Put for 10th sub: 0.17\n",
      "AMY for 1th sub: -0.06\n",
      "AMY for 2th sub: 0.5\n",
      "AMY for 3th sub: 0.55\n",
      "AMY for 4th sub: 0.21\n",
      "AMY for 5th sub: -0.13\n",
      "AMY for 6th sub: 0.53\n",
      "AMY for 7th sub: 0.19\n",
      "AMY for 8th sub: 0.66\n",
      "AMY for 9th sub: 0.18\n",
      "AMY for 10th sub: 0.04\n",
      "TP for 1th sub: 0.49\n",
      "TP for 2th sub: 0.41\n",
      "TP for 3th sub: 0.66\n",
      "TP for 4th sub: 0.26\n",
      "TP for 5th sub: 0.72\n",
      "TP for 6th sub: 0.15\n",
      "TP for 7th sub: 0.23\n",
      "TP for 8th sub: 0.62\n",
      "TP for 9th sub: 0.68\n",
      "TP for 10th sub: 0.61\n",
      "\n",
      "***Average across test subjects Correlation Coefficient between 7 ahead predicted and actual average BOLD values for ROIs***\n",
      "\n",
      "dlPFC: 0.14\n",
      "INS: 0.17\n",
      "VC: 0.09\n",
      "Cau: 0.22\n",
      "PCC: 0.17\n",
      "PCG: 0.22\n",
      "mCC: 0.19\n",
      "mOFC: 0.46\n",
      "Prec: 0.16\n",
      "mPFC: 0.24\n",
      "pSTS: 0.2\n",
      "vlPFC: 0.18\n",
      "dmPFC: 0.21\n",
      "Nac: 0.26\n",
      "IPL: 0.07\n",
      "ACC: 0.29\n",
      "lOFC: 0.36\n",
      "Put: 0.16\n",
      "AMY: 0.27\n",
      "TP: 0.48\n",
      "***Each Test Subject's Correlation Coefficient between 8 ahead predicted and actual average BOLD values for ROIs***\n",
      "\n",
      "dlPFC for 1th sub: -0.1\n",
      "dlPFC for 2th sub: 0.14\n",
      "dlPFC for 3th sub: 0.17\n",
      "dlPFC for 4th sub: 0.09\n",
      "dlPFC for 5th sub: 0.25\n",
      "dlPFC for 6th sub: 0.26\n",
      "dlPFC for 7th sub: 0.06\n",
      "dlPFC for 8th sub: 0.12\n",
      "dlPFC for 9th sub: 0.27\n",
      "dlPFC for 10th sub: 0.19\n",
      "INS for 1th sub: 0.07\n",
      "INS for 2th sub: 0.66\n",
      "INS for 3th sub: 0.04\n",
      "INS for 4th sub: 0.23\n",
      "INS for 5th sub: 0.07\n",
      "INS for 6th sub: 0.36\n",
      "INS for 7th sub: 0.04\n",
      "INS for 8th sub: -0.02\n",
      "INS for 9th sub: -0.11\n",
      "INS for 10th sub: 0.13\n",
      "VC for 1th sub: 0.08\n",
      "VC for 2th sub: 0.04\n",
      "VC for 3th sub: -0.03\n",
      "VC for 4th sub: -0.09\n",
      "VC for 5th sub: -0.09\n",
      "VC for 6th sub: 0.16\n",
      "VC for 7th sub: 0.04\n",
      "VC for 8th sub: 0.2\n",
      "VC for 9th sub: 0.09\n",
      "VC for 10th sub: 0.16\n",
      "Cau for 1th sub: 0.22\n",
      "Cau for 2th sub: 0.62\n",
      "Cau for 3th sub: 0.06\n",
      "Cau for 4th sub: 0.12\n",
      "Cau for 5th sub: 0.46\n",
      "Cau for 6th sub: 0.22\n",
      "Cau for 7th sub: 0.07\n",
      "Cau for 8th sub: -0.01\n",
      "Cau for 9th sub: 0.46\n",
      "Cau for 10th sub: 0.21\n",
      "PCC for 1th sub: -0.14\n",
      "PCC for 2th sub: 0.43\n",
      "PCC for 3th sub: -0.02\n",
      "PCC for 4th sub: 0.21\n",
      "PCC for 5th sub: 0.1\n",
      "PCC for 6th sub: 0.48\n",
      "PCC for 7th sub: 0.08\n",
      "PCC for 8th sub: 0.18\n",
      "PCC for 9th sub: -0.04\n",
      "PCC for 10th sub: 0.26\n",
      "PCG for 1th sub: 0.07\n",
      "PCG for 2th sub: 0.41\n",
      "PCG for 3th sub: 0.19\n",
      "PCG for 4th sub: -0.01\n",
      "PCG for 5th sub: -0.04\n",
      "PCG for 6th sub: 0.34\n",
      "PCG for 7th sub: 0.18\n",
      "PCG for 8th sub: 0.04\n",
      "PCG for 9th sub: 0.43\n",
      "PCG for 10th sub: 0.41\n",
      "mCC for 1th sub: -0.01\n",
      "mCC for 2th sub: -0.01\n",
      "mCC for 3th sub: -0.04\n",
      "mCC for 4th sub: 0.2\n",
      "mCC for 5th sub: 0.42\n",
      "mCC for 6th sub: 0.84\n",
      "mCC for 7th sub: 0.12\n",
      "mCC for 8th sub: 0.17\n",
      "mCC for 9th sub: 0.09\n",
      "mCC for 10th sub: 0.2\n",
      "mOFC for 1th sub: 0.02\n",
      "mOFC for 2th sub: 0.44\n",
      "mOFC for 3th sub: 0.65\n",
      "mOFC for 4th sub: 0.85\n",
      "mOFC for 5th sub: 0.32\n",
      "mOFC for 6th sub: 0.67\n",
      "mOFC for 7th sub: -0.05\n",
      "mOFC for 8th sub: 0.83\n",
      "mOFC for 9th sub: 0.7\n",
      "mOFC for 10th sub: 0.11\n",
      "Prec for 1th sub: -0.13\n",
      "Prec for 2th sub: 0.34\n",
      "Prec for 3th sub: -0.15\n",
      "Prec for 4th sub: 0.11\n",
      "Prec for 5th sub: 0.01\n",
      "Prec for 6th sub: 0.46\n",
      "Prec for 7th sub: 0.29\n",
      "Prec for 8th sub: 0.17\n",
      "Prec for 9th sub: 0.07\n",
      "Prec for 10th sub: 0.19\n",
      "mPFC for 1th sub: 0.26\n",
      "mPFC for 2th sub: 0.22\n",
      "mPFC for 3th sub: 0.48\n",
      "mPFC for 4th sub: 0.53\n",
      "mPFC for 5th sub: 0.21\n",
      "mPFC for 6th sub: 0.12\n",
      "mPFC for 7th sub: 0.06\n",
      "mPFC for 8th sub: 0.5\n",
      "mPFC for 9th sub: 0.15\n",
      "mPFC for 10th sub: -0.13\n",
      "pSTS for 1th sub: 0.24\n",
      "pSTS for 2th sub: 0.19\n",
      "pSTS for 3th sub: 0.24\n",
      "pSTS for 4th sub: 0.2\n",
      "pSTS for 5th sub: 0.07\n",
      "pSTS for 6th sub: 0.31\n",
      "pSTS for 7th sub: 0.12\n",
      "pSTS for 8th sub: 0.36\n",
      "pSTS for 9th sub: 0.01\n",
      "pSTS for 10th sub: -0.02\n",
      "vlPFC for 1th sub: 0.02\n",
      "vlPFC for 2th sub: 0.1\n",
      "vlPFC for 3th sub: 0.03\n",
      "vlPFC for 4th sub: 0.36\n",
      "vlPFC for 5th sub: 0.45\n",
      "vlPFC for 6th sub: 0.13\n",
      "vlPFC for 7th sub: 0.02\n",
      "vlPFC for 8th sub: 0.07\n",
      "vlPFC for 9th sub: 0.33\n",
      "vlPFC for 10th sub: 0.05\n",
      "dmPFC for 1th sub: 0.15\n",
      "dmPFC for 2th sub: 0.6\n",
      "dmPFC for 3th sub: 0.21\n",
      "dmPFC for 4th sub: 0.06\n",
      "dmPFC for 5th sub: 0.17\n",
      "dmPFC for 6th sub: 0.45\n",
      "dmPFC for 7th sub: 0.02\n",
      "dmPFC for 8th sub: 0.1\n",
      "dmPFC for 9th sub: 0.36\n",
      "dmPFC for 10th sub: 0.14\n",
      "Nac for 1th sub: 0.22\n",
      "Nac for 2th sub: 0.41\n",
      "Nac for 3th sub: 0.08\n",
      "Nac for 4th sub: 0.38\n",
      "Nac for 5th sub: 0.45\n",
      "Nac for 6th sub: 0.26\n",
      "Nac for 7th sub: 0.12\n",
      "Nac for 8th sub: 0.05\n",
      "Nac for 9th sub: 0.67\n",
      "Nac for 10th sub: 0.12\n",
      "IPL for 1th sub: -0.08\n",
      "IPL for 2th sub: 0.17\n",
      "IPL for 3th sub: 0.02\n",
      "IPL for 4th sub: 0.03\n",
      "IPL for 5th sub: -0.1\n",
      "IPL for 6th sub: 0.03\n",
      "IPL for 7th sub: 0.12\n",
      "IPL for 8th sub: 0.09\n",
      "IPL for 9th sub: 0.08\n",
      "IPL for 10th sub: 0.22\n",
      "ACC for 1th sub: 0.09\n",
      "ACC for 2th sub: 0.35\n",
      "ACC for 3th sub: 0.36\n",
      "ACC for 4th sub: 0.15\n",
      "ACC for 5th sub: 0.12\n",
      "ACC for 6th sub: 0.45\n",
      "ACC for 7th sub: 0.25\n",
      "ACC for 8th sub: 0.4\n",
      "ACC for 9th sub: 0.32\n",
      "ACC for 10th sub: 0.3\n",
      "lOFC for 1th sub: 0.42\n",
      "lOFC for 2th sub: 0.14\n",
      "lOFC for 3th sub: 0.51\n",
      "lOFC for 4th sub: 0.69\n",
      "lOFC for 5th sub: 0.1\n",
      "lOFC for 6th sub: 0.11\n",
      "lOFC for 7th sub: 0.04\n",
      "lOFC for 8th sub: 0.79\n",
      "lOFC for 9th sub: 0.73\n",
      "lOFC for 10th sub: -0.07\n",
      "Put for 1th sub: 0.02\n",
      "Put for 2th sub: 0.19\n",
      "Put for 3th sub: 0.38\n",
      "Put for 4th sub: -0.08\n",
      "Put for 5th sub: 0.14\n",
      "Put for 6th sub: 0.09\n",
      "Put for 7th sub: 0.08\n",
      "Put for 8th sub: 0.21\n",
      "Put for 9th sub: 0.33\n",
      "Put for 10th sub: 0.22\n",
      "AMY for 1th sub: -0.06\n",
      "AMY for 2th sub: 0.51\n",
      "AMY for 3th sub: 0.57\n",
      "AMY for 4th sub: 0.23\n",
      "AMY for 5th sub: -0.11\n",
      "AMY for 6th sub: 0.56\n",
      "AMY for 7th sub: 0.26\n",
      "AMY for 8th sub: 0.63\n",
      "AMY for 9th sub: 0.19\n",
      "AMY for 10th sub: 0.24\n",
      "TP for 1th sub: 0.45\n",
      "TP for 2th sub: 0.36\n",
      "TP for 3th sub: 0.64\n",
      "TP for 4th sub: 0.24\n",
      "TP for 5th sub: 0.68\n",
      "TP for 6th sub: 0.11\n",
      "TP for 7th sub: 0.23\n",
      "TP for 8th sub: 0.58\n",
      "TP for 9th sub: 0.66\n",
      "TP for 10th sub: 0.6\n",
      "\n",
      "***Average across test subjects Correlation Coefficient between 8 ahead predicted and actual average BOLD values for ROIs***\n",
      "\n",
      "dlPFC: 0.14\n",
      "INS: 0.15\n",
      "VC: 0.06\n",
      "Cau: 0.24\n",
      "PCC: 0.15\n",
      "PCG: 0.2\n",
      "mCC: 0.2\n",
      "mOFC: 0.45\n",
      "Prec: 0.14\n",
      "mPFC: 0.24\n",
      "pSTS: 0.17\n",
      "vlPFC: 0.16\n",
      "dmPFC: 0.23\n",
      "Nac: 0.28\n",
      "IPL: 0.06\n",
      "ACC: 0.28\n",
      "lOFC: 0.35\n",
      "Put: 0.16\n",
      "AMY: 0.3\n",
      "TP: 0.46\n",
      "***Each Test Subject's Correlation Coefficient between 9 ahead predicted and actual average BOLD values for ROIs***\n",
      "\n",
      "dlPFC for 1th sub: -0.07\n",
      "dlPFC for 2th sub: 0.25\n",
      "dlPFC for 3th sub: 0.09\n",
      "dlPFC for 4th sub: 0.09\n",
      "dlPFC for 5th sub: 0.26\n",
      "dlPFC for 6th sub: 0.22\n",
      "dlPFC for 7th sub: 0.16\n",
      "dlPFC for 8th sub: 0.03\n",
      "dlPFC for 9th sub: 0.24\n",
      "dlPFC for 10th sub: 0.15\n",
      "INS for 1th sub: 0.07\n",
      "INS for 2th sub: 0.62\n",
      "INS for 3th sub: -0.02\n",
      "INS for 4th sub: 0.2\n",
      "INS for 5th sub: 0.11\n",
      "INS for 6th sub: 0.37\n",
      "INS for 7th sub: 0.05\n",
      "INS for 8th sub: 0.05\n",
      "INS for 9th sub: -0.14\n",
      "INS for 10th sub: 0.11\n",
      "VC for 1th sub: 0.04\n",
      "VC for 2th sub: 0.05\n",
      "VC for 3th sub: -0.08\n",
      "VC for 4th sub: -0.15\n",
      "VC for 5th sub: -0.12\n",
      "VC for 6th sub: 0.17\n",
      "VC for 7th sub: -0.04\n",
      "VC for 8th sub: 0.16\n",
      "VC for 9th sub: 0.0\n",
      "VC for 10th sub: 0.15\n",
      "Cau for 1th sub: 0.19\n",
      "Cau for 2th sub: 0.63\n",
      "Cau for 3th sub: -0.04\n",
      "Cau for 4th sub: 0.02\n",
      "Cau for 5th sub: 0.53\n",
      "Cau for 6th sub: 0.2\n",
      "Cau for 7th sub: 0.09\n",
      "Cau for 8th sub: 0.1\n",
      "Cau for 9th sub: 0.37\n",
      "Cau for 10th sub: 0.17\n",
      "PCC for 1th sub: -0.07\n",
      "PCC for 2th sub: 0.42\n",
      "PCC for 3th sub: -0.03\n",
      "PCC for 4th sub: 0.18\n",
      "PCC for 5th sub: 0.11\n",
      "PCC for 6th sub: 0.42\n",
      "PCC for 7th sub: 0.17\n",
      "PCC for 8th sub: 0.2\n",
      "PCC for 9th sub: 0.02\n",
      "PCC for 10th sub: 0.24\n",
      "PCG for 1th sub: 0.09\n",
      "PCG for 2th sub: 0.42\n",
      "PCG for 3th sub: 0.09\n",
      "PCG for 4th sub: -0.03\n",
      "PCG for 5th sub: -0.03\n",
      "PCG for 6th sub: 0.33\n",
      "PCG for 7th sub: 0.21\n",
      "PCG for 8th sub: -0.01\n",
      "PCG for 9th sub: 0.42\n",
      "PCG for 10th sub: 0.39\n",
      "mCC for 1th sub: 0.01\n",
      "mCC for 2th sub: -0.05\n",
      "mCC for 3th sub: -0.07\n",
      "mCC for 4th sub: 0.07\n",
      "mCC for 5th sub: 0.44\n",
      "mCC for 6th sub: 0.83\n",
      "mCC for 7th sub: 0.2\n",
      "mCC for 8th sub: 0.24\n",
      "mCC for 9th sub: 0.13\n",
      "mCC for 10th sub: 0.19\n",
      "mOFC for 1th sub: 0.02\n",
      "mOFC for 2th sub: 0.41\n",
      "mOFC for 3th sub: 0.64\n",
      "mOFC for 4th sub: 0.84\n",
      "mOFC for 5th sub: 0.3\n",
      "mOFC for 6th sub: 0.67\n",
      "mOFC for 7th sub: -0.06\n",
      "mOFC for 8th sub: 0.81\n",
      "mOFC for 9th sub: 0.67\n",
      "mOFC for 10th sub: 0.08\n",
      "Prec for 1th sub: -0.15\n",
      "Prec for 2th sub: 0.32\n",
      "Prec for 3th sub: -0.15\n",
      "Prec for 4th sub: 0.07\n",
      "Prec for 5th sub: 0.0\n",
      "Prec for 6th sub: 0.47\n",
      "Prec for 7th sub: 0.3\n",
      "Prec for 8th sub: 0.18\n",
      "Prec for 9th sub: 0.07\n",
      "Prec for 10th sub: 0.15\n",
      "mPFC for 1th sub: 0.28\n",
      "mPFC for 2th sub: 0.19\n",
      "mPFC for 3th sub: 0.46\n",
      "mPFC for 4th sub: 0.49\n",
      "mPFC for 5th sub: 0.23\n",
      "mPFC for 6th sub: 0.12\n",
      "mPFC for 7th sub: 0.12\n",
      "mPFC for 8th sub: 0.51\n",
      "mPFC for 9th sub: 0.14\n",
      "mPFC for 10th sub: -0.08\n",
      "pSTS for 1th sub: 0.26\n",
      "pSTS for 2th sub: 0.12\n",
      "pSTS for 3th sub: 0.19\n",
      "pSTS for 4th sub: 0.23\n",
      "pSTS for 5th sub: 0.1\n",
      "pSTS for 6th sub: 0.29\n",
      "pSTS for 7th sub: 0.12\n",
      "pSTS for 8th sub: 0.38\n",
      "pSTS for 9th sub: -0.01\n",
      "pSTS for 10th sub: 0.06\n",
      "vlPFC for 1th sub: 0.0\n",
      "vlPFC for 2th sub: 0.15\n",
      "vlPFC for 3th sub: -0.04\n",
      "vlPFC for 4th sub: 0.34\n",
      "vlPFC for 5th sub: 0.45\n",
      "vlPFC for 6th sub: 0.09\n",
      "vlPFC for 7th sub: 0.0\n",
      "vlPFC for 8th sub: 0.08\n",
      "vlPFC for 9th sub: 0.3\n",
      "vlPFC for 10th sub: 0.01\n",
      "dmPFC for 1th sub: 0.15\n",
      "dmPFC for 2th sub: 0.63\n",
      "dmPFC for 3th sub: 0.15\n",
      "dmPFC for 4th sub: 0.03\n",
      "dmPFC for 5th sub: 0.24\n",
      "dmPFC for 6th sub: 0.39\n",
      "dmPFC for 7th sub: 0.06\n",
      "dmPFC for 8th sub: 0.07\n",
      "dmPFC for 9th sub: 0.38\n",
      "dmPFC for 10th sub: 0.15\n",
      "Nac for 1th sub: 0.17\n",
      "Nac for 2th sub: 0.46\n",
      "Nac for 3th sub: 0.02\n",
      "Nac for 4th sub: 0.36\n",
      "Nac for 5th sub: 0.56\n",
      "Nac for 6th sub: 0.26\n",
      "Nac for 7th sub: 0.14\n",
      "Nac for 8th sub: 0.08\n",
      "Nac for 9th sub: 0.65\n",
      "Nac for 10th sub: 0.12\n",
      "IPL for 1th sub: -0.04\n",
      "IPL for 2th sub: 0.12\n",
      "IPL for 3th sub: -0.04\n",
      "IPL for 4th sub: 0.01\n",
      "IPL for 5th sub: -0.02\n",
      "IPL for 6th sub: 0.01\n",
      "IPL for 7th sub: 0.06\n",
      "IPL for 8th sub: 0.1\n",
      "IPL for 9th sub: 0.06\n",
      "IPL for 10th sub: 0.21\n",
      "ACC for 1th sub: 0.13\n",
      "ACC for 2th sub: 0.42\n",
      "ACC for 3th sub: 0.29\n",
      "ACC for 4th sub: 0.15\n",
      "ACC for 5th sub: 0.17\n",
      "ACC for 6th sub: 0.42\n",
      "ACC for 7th sub: 0.28\n",
      "ACC for 8th sub: 0.41\n",
      "ACC for 9th sub: 0.32\n",
      "ACC for 10th sub: 0.34\n",
      "lOFC for 1th sub: 0.38\n",
      "lOFC for 2th sub: 0.14\n",
      "lOFC for 3th sub: 0.48\n",
      "lOFC for 4th sub: 0.68\n",
      "lOFC for 5th sub: 0.05\n",
      "lOFC for 6th sub: 0.09\n",
      "lOFC for 7th sub: 0.07\n",
      "lOFC for 8th sub: 0.78\n",
      "lOFC for 9th sub: 0.72\n",
      "lOFC for 10th sub: -0.12\n",
      "Put for 1th sub: 0.11\n",
      "Put for 2th sub: 0.21\n",
      "Put for 3th sub: 0.32\n",
      "Put for 4th sub: -0.12\n",
      "Put for 5th sub: 0.19\n",
      "Put for 6th sub: 0.04\n",
      "Put for 7th sub: 0.17\n",
      "Put for 8th sub: 0.26\n",
      "Put for 9th sub: 0.31\n",
      "Put for 10th sub: 0.23\n",
      "AMY for 1th sub: -0.0\n",
      "AMY for 2th sub: 0.51\n",
      "AMY for 3th sub: 0.55\n",
      "AMY for 4th sub: 0.16\n",
      "AMY for 5th sub: -0.09\n",
      "AMY for 6th sub: 0.56\n",
      "AMY for 7th sub: 0.22\n",
      "AMY for 8th sub: 0.66\n",
      "AMY for 9th sub: 0.2\n",
      "AMY for 10th sub: 0.23\n",
      "TP for 1th sub: 0.42\n",
      "TP for 2th sub: 0.37\n",
      "TP for 3th sub: 0.61\n",
      "TP for 4th sub: 0.2\n",
      "TP for 5th sub: 0.69\n",
      "TP for 6th sub: 0.19\n",
      "TP for 7th sub: 0.21\n",
      "TP for 8th sub: 0.59\n",
      "TP for 9th sub: 0.65\n",
      "TP for 10th sub: 0.58\n",
      "\n",
      "***Average across test subjects Correlation Coefficient between 9 ahead predicted and actual average BOLD values for ROIs***\n",
      "\n",
      "dlPFC: 0.14\n",
      "INS: 0.14\n",
      "VC: 0.02\n",
      "Cau: 0.23\n",
      "PCC: 0.16\n",
      "PCG: 0.19\n",
      "mCC: 0.2\n",
      "mOFC: 0.44\n",
      "Prec: 0.13\n",
      "mPFC: 0.25\n",
      "pSTS: 0.17\n",
      "vlPFC: 0.14\n",
      "dmPFC: 0.23\n",
      "Nac: 0.28\n",
      "IPL: 0.05\n",
      "ACC: 0.29\n",
      "lOFC: 0.33\n",
      "Put: 0.17\n",
      "AMY: 0.3\n",
      "TP: 0.45\n",
      "***Each Test Subject's Correlation Coefficient between 10 ahead predicted and actual average BOLD values for ROIs***\n",
      "\n",
      "dlPFC for 1th sub: -0.02\n",
      "dlPFC for 2th sub: 0.32\n",
      "dlPFC for 3th sub: 0.0\n",
      "dlPFC for 4th sub: 0.05\n",
      "dlPFC for 5th sub: 0.34\n",
      "dlPFC for 6th sub: 0.17\n",
      "dlPFC for 7th sub: 0.05\n",
      "dlPFC for 8th sub: -0.03\n",
      "dlPFC for 9th sub: 0.2\n",
      "dlPFC for 10th sub: 0.08\n",
      "INS for 1th sub: 0.05\n",
      "INS for 2th sub: 0.66\n",
      "INS for 3th sub: -0.07\n",
      "INS for 4th sub: 0.22\n",
      "INS for 5th sub: 0.13\n",
      "INS for 6th sub: 0.35\n",
      "INS for 7th sub: 0.0\n",
      "INS for 8th sub: 0.03\n",
      "INS for 9th sub: -0.1\n",
      "INS for 10th sub: 0.04\n",
      "VC for 1th sub: -0.01\n",
      "VC for 2th sub: 0.04\n",
      "VC for 3th sub: -0.14\n",
      "VC for 4th sub: -0.17\n",
      "VC for 5th sub: -0.12\n",
      "VC for 6th sub: 0.15\n",
      "VC for 7th sub: -0.11\n",
      "VC for 8th sub: 0.21\n",
      "VC for 9th sub: -0.07\n",
      "VC for 10th sub: 0.21\n",
      "Cau for 1th sub: 0.04\n",
      "Cau for 2th sub: 0.63\n",
      "Cau for 3th sub: -0.05\n",
      "Cau for 4th sub: 0.04\n",
      "Cau for 5th sub: 0.57\n",
      "Cau for 6th sub: 0.2\n",
      "Cau for 7th sub: 0.07\n",
      "Cau for 8th sub: 0.2\n",
      "Cau for 9th sub: 0.38\n",
      "Cau for 10th sub: 0.21\n",
      "PCC for 1th sub: -0.04\n",
      "PCC for 2th sub: 0.37\n",
      "PCC for 3th sub: -0.09\n",
      "PCC for 4th sub: 0.12\n",
      "PCC for 5th sub: 0.13\n",
      "PCC for 6th sub: 0.4\n",
      "PCC for 7th sub: 0.18\n",
      "PCC for 8th sub: 0.21\n",
      "PCC for 9th sub: 0.12\n",
      "PCC for 10th sub: 0.22\n",
      "PCG for 1th sub: 0.07\n",
      "PCG for 2th sub: 0.43\n",
      "PCG for 3th sub: -0.04\n",
      "PCG for 4th sub: -0.06\n",
      "PCG for 5th sub: 0.02\n",
      "PCG for 6th sub: 0.33\n",
      "PCG for 7th sub: 0.27\n",
      "PCG for 8th sub: -0.05\n",
      "PCG for 9th sub: 0.42\n",
      "PCG for 10th sub: 0.38\n",
      "mCC for 1th sub: 0.03\n",
      "mCC for 2th sub: -0.12\n",
      "mCC for 3th sub: -0.17\n",
      "mCC for 4th sub: 0.06\n",
      "mCC for 5th sub: 0.45\n",
      "mCC for 6th sub: 0.83\n",
      "mCC for 7th sub: 0.15\n",
      "mCC for 8th sub: 0.24\n",
      "mCC for 9th sub: 0.13\n",
      "mCC for 10th sub: 0.19\n",
      "mOFC for 1th sub: 0.03\n",
      "mOFC for 2th sub: 0.39\n",
      "mOFC for 3th sub: 0.62\n",
      "mOFC for 4th sub: 0.83\n",
      "mOFC for 5th sub: 0.22\n",
      "mOFC for 6th sub: 0.72\n",
      "mOFC for 7th sub: -0.16\n",
      "mOFC for 8th sub: 0.82\n",
      "mOFC for 9th sub: 0.64\n",
      "mOFC for 10th sub: 0.06\n",
      "Prec for 1th sub: -0.15\n",
      "Prec for 2th sub: 0.28\n",
      "Prec for 3th sub: -0.16\n",
      "Prec for 4th sub: 0.06\n",
      "Prec for 5th sub: 0.01\n",
      "Prec for 6th sub: 0.49\n",
      "Prec for 7th sub: 0.27\n",
      "Prec for 8th sub: 0.22\n",
      "Prec for 9th sub: 0.09\n",
      "Prec for 10th sub: 0.14\n",
      "mPFC for 1th sub: 0.22\n",
      "mPFC for 2th sub: 0.2\n",
      "mPFC for 3th sub: 0.44\n",
      "mPFC for 4th sub: 0.5\n",
      "mPFC for 5th sub: 0.22\n",
      "mPFC for 6th sub: 0.08\n",
      "mPFC for 7th sub: 0.16\n",
      "mPFC for 8th sub: 0.55\n",
      "mPFC for 9th sub: 0.15\n",
      "mPFC for 10th sub: -0.06\n",
      "pSTS for 1th sub: 0.29\n",
      "pSTS for 2th sub: 0.11\n",
      "pSTS for 3th sub: 0.15\n",
      "pSTS for 4th sub: 0.2\n",
      "pSTS for 5th sub: 0.14\n",
      "pSTS for 6th sub: 0.27\n",
      "pSTS for 7th sub: 0.1\n",
      "pSTS for 8th sub: 0.39\n",
      "pSTS for 9th sub: -0.02\n",
      "pSTS for 10th sub: 0.12\n",
      "vlPFC for 1th sub: 0.01\n",
      "vlPFC for 2th sub: 0.16\n",
      "vlPFC for 3th sub: -0.11\n",
      "vlPFC for 4th sub: 0.29\n",
      "vlPFC for 5th sub: 0.5\n",
      "vlPFC for 6th sub: 0.06\n",
      "vlPFC for 7th sub: -0.03\n",
      "vlPFC for 8th sub: 0.09\n",
      "vlPFC for 9th sub: 0.28\n",
      "vlPFC for 10th sub: 0.0\n",
      "dmPFC for 1th sub: 0.08\n",
      "dmPFC for 2th sub: 0.61\n",
      "dmPFC for 3th sub: 0.06\n",
      "dmPFC for 4th sub: 0.02\n",
      "dmPFC for 5th sub: 0.25\n",
      "dmPFC for 6th sub: 0.39\n",
      "dmPFC for 7th sub: 0.02\n",
      "dmPFC for 8th sub: 0.02\n",
      "dmPFC for 9th sub: 0.44\n",
      "dmPFC for 10th sub: 0.17\n",
      "Nac for 1th sub: 0.1\n",
      "Nac for 2th sub: 0.44\n",
      "Nac for 3th sub: -0.03\n",
      "Nac for 4th sub: 0.37\n",
      "Nac for 5th sub: 0.59\n",
      "Nac for 6th sub: 0.28\n",
      "Nac for 7th sub: 0.11\n",
      "Nac for 8th sub: 0.2\n",
      "Nac for 9th sub: 0.63\n",
      "Nac for 10th sub: 0.18\n",
      "IPL for 1th sub: -0.02\n",
      "IPL for 2th sub: 0.07\n",
      "IPL for 3th sub: -0.09\n",
      "IPL for 4th sub: 0.01\n",
      "IPL for 5th sub: 0.02\n",
      "IPL for 6th sub: 0.02\n",
      "IPL for 7th sub: -0.0\n",
      "IPL for 8th sub: 0.12\n",
      "IPL for 9th sub: 0.1\n",
      "IPL for 10th sub: 0.21\n",
      "ACC for 1th sub: 0.17\n",
      "ACC for 2th sub: 0.47\n",
      "ACC for 3th sub: 0.24\n",
      "ACC for 4th sub: 0.12\n",
      "ACC for 5th sub: 0.19\n",
      "ACC for 6th sub: 0.36\n",
      "ACC for 7th sub: 0.27\n",
      "ACC for 8th sub: 0.43\n",
      "ACC for 9th sub: 0.31\n",
      "ACC for 10th sub: 0.36\n",
      "lOFC for 1th sub: 0.38\n",
      "lOFC for 2th sub: 0.18\n",
      "lOFC for 3th sub: 0.44\n",
      "lOFC for 4th sub: 0.67\n",
      "lOFC for 5th sub: 0.09\n",
      "lOFC for 6th sub: 0.05\n",
      "lOFC for 7th sub: 0.09\n",
      "lOFC for 8th sub: 0.78\n",
      "lOFC for 9th sub: 0.69\n",
      "lOFC for 10th sub: -0.09\n",
      "Put for 1th sub: 0.05\n",
      "Put for 2th sub: 0.21\n",
      "Put for 3th sub: 0.25\n",
      "Put for 4th sub: -0.17\n",
      "Put for 5th sub: 0.25\n",
      "Put for 6th sub: -0.02\n",
      "Put for 7th sub: 0.14\n",
      "Put for 8th sub: 0.28\n",
      "Put for 9th sub: 0.33\n",
      "Put for 10th sub: 0.11\n",
      "AMY for 1th sub: 0.04\n",
      "AMY for 2th sub: 0.52\n",
      "AMY for 3th sub: 0.5\n",
      "AMY for 4th sub: 0.14\n",
      "AMY for 5th sub: -0.11\n",
      "AMY for 6th sub: 0.59\n",
      "AMY for 7th sub: 0.3\n",
      "AMY for 8th sub: 0.65\n",
      "AMY for 9th sub: 0.17\n",
      "AMY for 10th sub: 0.14\n",
      "TP for 1th sub: 0.41\n",
      "TP for 2th sub: 0.37\n",
      "TP for 3th sub: 0.58\n",
      "TP for 4th sub: 0.16\n",
      "TP for 5th sub: 0.67\n",
      "TP for 6th sub: 0.13\n",
      "TP for 7th sub: 0.19\n",
      "TP for 8th sub: 0.62\n",
      "TP for 9th sub: 0.63\n",
      "TP for 10th sub: 0.6\n",
      "\n",
      "***Average across test subjects Correlation Coefficient between 10 ahead predicted and actual average BOLD values for ROIs***\n",
      "\n",
      "dlPFC: 0.12\n",
      "INS: 0.13\n",
      "VC: -0.0\n",
      "Cau: 0.23\n",
      "PCC: 0.16\n",
      "PCG: 0.18\n",
      "mCC: 0.18\n",
      "mOFC: 0.42\n",
      "Prec: 0.13\n",
      "mPFC: 0.25\n",
      "pSTS: 0.18\n",
      "vlPFC: 0.12\n",
      "dmPFC: 0.21\n",
      "Nac: 0.29\n",
      "IPL: 0.04\n",
      "ACC: 0.29\n",
      "lOFC: 0.33\n",
      "Put: 0.14\n",
      "AMY: 0.3\n",
      "TP: 0.44\n",
      "***Each Test Subject's Correlation Coefficient between 11 ahead predicted and actual average BOLD values for ROIs***\n",
      "\n",
      "dlPFC for 1th sub: -0.02\n",
      "dlPFC for 2th sub: 0.24\n",
      "dlPFC for 3th sub: -0.09\n",
      "dlPFC for 4th sub: -0.03\n",
      "dlPFC for 5th sub: 0.31\n",
      "dlPFC for 6th sub: 0.08\n",
      "dlPFC for 7th sub: -0.05\n",
      "dlPFC for 8th sub: -0.05\n",
      "dlPFC for 9th sub: 0.13\n",
      "dlPFC for 10th sub: 0.05\n",
      "INS for 1th sub: 0.06\n",
      "INS for 2th sub: 0.66\n",
      "INS for 3th sub: -0.14\n",
      "INS for 4th sub: 0.17\n",
      "INS for 5th sub: 0.13\n",
      "INS for 6th sub: 0.37\n",
      "INS for 7th sub: -0.06\n",
      "INS for 8th sub: 0.03\n",
      "INS for 9th sub: -0.11\n",
      "INS for 10th sub: 0.12\n",
      "VC for 1th sub: -0.03\n",
      "VC for 2th sub: -0.04\n",
      "VC for 3th sub: -0.19\n",
      "VC for 4th sub: -0.16\n",
      "VC for 5th sub: -0.09\n",
      "VC for 6th sub: 0.15\n",
      "VC for 7th sub: -0.13\n",
      "VC for 8th sub: 0.27\n",
      "VC for 9th sub: -0.07\n",
      "VC for 10th sub: 0.25\n",
      "Cau for 1th sub: 0.06\n",
      "Cau for 2th sub: 0.6\n",
      "Cau for 3th sub: -0.09\n",
      "Cau for 4th sub: 0.01\n",
      "Cau for 5th sub: 0.6\n",
      "Cau for 6th sub: 0.13\n",
      "Cau for 7th sub: 0.04\n",
      "Cau for 8th sub: 0.13\n",
      "Cau for 9th sub: 0.34\n",
      "Cau for 10th sub: 0.28\n",
      "PCC for 1th sub: 0.0\n",
      "PCC for 2th sub: 0.29\n",
      "PCC for 3th sub: -0.12\n",
      "PCC for 4th sub: 0.07\n",
      "PCC for 5th sub: 0.17\n",
      "PCC for 6th sub: 0.45\n",
      "PCC for 7th sub: 0.14\n",
      "PCC for 8th sub: 0.22\n",
      "PCC for 9th sub: 0.16\n",
      "PCC for 10th sub: 0.19\n",
      "PCG for 1th sub: 0.07\n",
      "PCG for 2th sub: 0.4\n",
      "PCG for 3th sub: -0.17\n",
      "PCG for 4th sub: -0.08\n",
      "PCG for 5th sub: 0.06\n",
      "PCG for 6th sub: 0.34\n",
      "PCG for 7th sub: 0.29\n",
      "PCG for 8th sub: -0.06\n",
      "PCG for 9th sub: 0.4\n",
      "PCG for 10th sub: 0.42\n",
      "mCC for 1th sub: 0.06\n",
      "mCC for 2th sub: -0.1\n",
      "mCC for 3th sub: -0.2\n",
      "mCC for 4th sub: -0.0\n",
      "mCC for 5th sub: 0.51\n",
      "mCC for 6th sub: 0.82\n",
      "mCC for 7th sub: 0.1\n",
      "mCC for 8th sub: 0.2\n",
      "mCC for 9th sub: 0.09\n",
      "mCC for 10th sub: 0.16\n",
      "mOFC for 1th sub: 0.08\n",
      "mOFC for 2th sub: 0.39\n",
      "mOFC for 3th sub: 0.59\n",
      "mOFC for 4th sub: 0.83\n",
      "mOFC for 5th sub: 0.22\n",
      "mOFC for 6th sub: 0.73\n",
      "mOFC for 7th sub: -0.1\n",
      "mOFC for 8th sub: 0.81\n",
      "mOFC for 9th sub: 0.6\n",
      "mOFC for 10th sub: 0.06\n",
      "Prec for 1th sub: -0.14\n",
      "Prec for 2th sub: 0.23\n",
      "Prec for 3th sub: -0.18\n",
      "Prec for 4th sub: 0.03\n",
      "Prec for 5th sub: 0.03\n",
      "Prec for 6th sub: 0.51\n",
      "Prec for 7th sub: 0.22\n",
      "Prec for 8th sub: 0.2\n",
      "Prec for 9th sub: 0.11\n",
      "Prec for 10th sub: 0.13\n",
      "mPFC for 1th sub: 0.16\n",
      "mPFC for 2th sub: 0.22\n",
      "mPFC for 3th sub: 0.36\n",
      "mPFC for 4th sub: 0.5\n",
      "mPFC for 5th sub: 0.18\n",
      "mPFC for 6th sub: 0.09\n",
      "mPFC for 7th sub: 0.09\n",
      "mPFC for 8th sub: 0.53\n",
      "mPFC for 9th sub: 0.16\n",
      "mPFC for 10th sub: -0.01\n",
      "pSTS for 1th sub: 0.29\n",
      "pSTS for 2th sub: 0.06\n",
      "pSTS for 3th sub: 0.1\n",
      "pSTS for 4th sub: 0.21\n",
      "pSTS for 5th sub: 0.2\n",
      "pSTS for 6th sub: 0.21\n",
      "pSTS for 7th sub: 0.09\n",
      "pSTS for 8th sub: 0.37\n",
      "pSTS for 9th sub: -0.02\n",
      "pSTS for 10th sub: 0.1\n",
      "vlPFC for 1th sub: 0.01\n",
      "vlPFC for 2th sub: 0.15\n",
      "vlPFC for 3th sub: -0.2\n",
      "vlPFC for 4th sub: 0.25\n",
      "vlPFC for 5th sub: 0.5\n",
      "vlPFC for 6th sub: -0.01\n",
      "vlPFC for 7th sub: -0.05\n",
      "vlPFC for 8th sub: 0.05\n",
      "vlPFC for 9th sub: 0.25\n",
      "vlPFC for 10th sub: 0.07\n",
      "dmPFC for 1th sub: 0.04\n",
      "dmPFC for 2th sub: 0.54\n",
      "dmPFC for 3th sub: -0.03\n",
      "dmPFC for 4th sub: 0.01\n",
      "dmPFC for 5th sub: 0.27\n",
      "dmPFC for 6th sub: 0.43\n",
      "dmPFC for 7th sub: -0.07\n",
      "dmPFC for 8th sub: -0.03\n",
      "dmPFC for 9th sub: 0.38\n",
      "dmPFC for 10th sub: 0.2\n",
      "Nac for 1th sub: 0.08\n",
      "Nac for 2th sub: 0.37\n",
      "Nac for 3th sub: -0.1\n",
      "Nac for 4th sub: 0.33\n",
      "Nac for 5th sub: 0.61\n",
      "Nac for 6th sub: 0.17\n",
      "Nac for 7th sub: 0.1\n",
      "Nac for 8th sub: 0.18\n",
      "Nac for 9th sub: 0.62\n",
      "Nac for 10th sub: 0.27\n",
      "IPL for 1th sub: -0.0\n",
      "IPL for 2th sub: 0.05\n",
      "IPL for 3th sub: -0.18\n",
      "IPL for 4th sub: -0.03\n",
      "IPL for 5th sub: 0.02\n",
      "IPL for 6th sub: -0.06\n",
      "IPL for 7th sub: -0.04\n",
      "IPL for 8th sub: 0.06\n",
      "IPL for 9th sub: 0.1\n",
      "IPL for 10th sub: 0.2\n",
      "ACC for 1th sub: 0.06\n",
      "ACC for 2th sub: 0.46\n",
      "ACC for 3th sub: 0.16\n",
      "ACC for 4th sub: 0.14\n",
      "ACC for 5th sub: 0.2\n",
      "ACC for 6th sub: 0.4\n",
      "ACC for 7th sub: 0.17\n",
      "ACC for 8th sub: 0.42\n",
      "ACC for 9th sub: 0.29\n",
      "ACC for 10th sub: 0.3\n",
      "lOFC for 1th sub: 0.36\n",
      "lOFC for 2th sub: 0.18\n",
      "lOFC for 3th sub: 0.38\n",
      "lOFC for 4th sub: 0.66\n",
      "lOFC for 5th sub: 0.07\n",
      "lOFC for 6th sub: 0.03\n",
      "lOFC for 7th sub: 0.01\n",
      "lOFC for 8th sub: 0.76\n",
      "lOFC for 9th sub: 0.66\n",
      "lOFC for 10th sub: 0.04\n",
      "Put for 1th sub: 0.01\n",
      "Put for 2th sub: 0.14\n",
      "Put for 3th sub: 0.19\n",
      "Put for 4th sub: -0.11\n",
      "Put for 5th sub: 0.32\n",
      "Put for 6th sub: 0.05\n",
      "Put for 7th sub: 0.13\n",
      "Put for 8th sub: 0.28\n",
      "Put for 9th sub: 0.3\n",
      "Put for 10th sub: 0.16\n",
      "AMY for 1th sub: 0.02\n",
      "AMY for 2th sub: 0.48\n",
      "AMY for 3th sub: 0.49\n",
      "AMY for 4th sub: 0.12\n",
      "AMY for 5th sub: 0.04\n",
      "AMY for 6th sub: 0.53\n",
      "AMY for 7th sub: 0.23\n",
      "AMY for 8th sub: 0.65\n",
      "AMY for 9th sub: 0.16\n",
      "AMY for 10th sub: 0.16\n",
      "TP for 1th sub: 0.38\n",
      "TP for 2th sub: 0.35\n",
      "TP for 3th sub: 0.57\n",
      "TP for 4th sub: 0.14\n",
      "TP for 5th sub: 0.61\n",
      "TP for 6th sub: 0.15\n",
      "TP for 7th sub: 0.2\n",
      "TP for 8th sub: 0.62\n",
      "TP for 9th sub: 0.61\n",
      "TP for 10th sub: 0.56\n",
      "\n",
      "***Average across test subjects Correlation Coefficient between 11 ahead predicted and actual average BOLD values for ROIs***\n",
      "\n",
      "dlPFC: 0.06\n",
      "INS: 0.12\n",
      "VC: -0.0\n",
      "Cau: 0.21\n",
      "PCC: 0.16\n",
      "PCG: 0.17\n",
      "mCC: 0.16\n",
      "mOFC: 0.42\n",
      "Prec: 0.11\n",
      "mPFC: 0.23\n",
      "pSTS: 0.16\n",
      "vlPFC: 0.1\n",
      "dmPFC: 0.18\n",
      "Nac: 0.26\n",
      "IPL: 0.01\n",
      "ACC: 0.26\n",
      "lOFC: 0.31\n",
      "Put: 0.15\n",
      "AMY: 0.29\n",
      "TP: 0.42\n",
      "***Each Test Subject's Correlation Coefficient between 12 ahead predicted and actual average BOLD values for ROIs***\n",
      "\n",
      "dlPFC for 1th sub: -0.09\n",
      "dlPFC for 2th sub: 0.24\n",
      "dlPFC for 3th sub: -0.17\n",
      "dlPFC for 4th sub: -0.13\n",
      "dlPFC for 5th sub: 0.23\n",
      "dlPFC for 6th sub: 0.03\n",
      "dlPFC for 7th sub: -0.0\n",
      "dlPFC for 8th sub: -0.05\n",
      "dlPFC for 9th sub: 0.05\n",
      "dlPFC for 10th sub: 0.1\n",
      "INS for 1th sub: 0.01\n",
      "INS for 2th sub: 0.62\n",
      "INS for 3th sub: -0.18\n",
      "INS for 4th sub: 0.16\n",
      "INS for 5th sub: 0.16\n",
      "INS for 6th sub: 0.4\n",
      "INS for 7th sub: -0.06\n",
      "INS for 8th sub: 0.01\n",
      "INS for 9th sub: -0.12\n",
      "INS for 10th sub: 0.13\n",
      "VC for 1th sub: 0.01\n",
      "VC for 2th sub: -0.13\n",
      "VC for 3th sub: -0.23\n",
      "VC for 4th sub: -0.13\n",
      "VC for 5th sub: -0.06\n",
      "VC for 6th sub: 0.13\n",
      "VC for 7th sub: -0.08\n",
      "VC for 8th sub: 0.32\n",
      "VC for 9th sub: -0.07\n",
      "VC for 10th sub: 0.33\n",
      "Cau for 1th sub: 0.03\n",
      "Cau for 2th sub: 0.6\n",
      "Cau for 3th sub: -0.14\n",
      "Cau for 4th sub: -0.04\n",
      "Cau for 5th sub: 0.62\n",
      "Cau for 6th sub: 0.12\n",
      "Cau for 7th sub: 0.06\n",
      "Cau for 8th sub: 0.15\n",
      "Cau for 9th sub: 0.35\n",
      "Cau for 10th sub: 0.28\n",
      "PCC for 1th sub: 0.03\n",
      "PCC for 2th sub: 0.27\n",
      "PCC for 3th sub: -0.09\n",
      "PCC for 4th sub: 0.03\n",
      "PCC for 5th sub: 0.18\n",
      "PCC for 6th sub: 0.52\n",
      "PCC for 7th sub: 0.14\n",
      "PCC for 8th sub: 0.27\n",
      "PCC for 9th sub: 0.14\n",
      "PCC for 10th sub: 0.2\n",
      "PCG for 1th sub: 0.09\n",
      "PCG for 2th sub: 0.37\n",
      "PCG for 3th sub: -0.26\n",
      "PCG for 4th sub: -0.12\n",
      "PCG for 5th sub: 0.07\n",
      "PCG for 6th sub: 0.38\n",
      "PCG for 7th sub: 0.21\n",
      "PCG for 8th sub: -0.05\n",
      "PCG for 9th sub: 0.35\n",
      "PCG for 10th sub: 0.43\n",
      "mCC for 1th sub: 0.15\n",
      "mCC for 2th sub: -0.08\n",
      "mCC for 3th sub: -0.2\n",
      "mCC for 4th sub: -0.11\n",
      "mCC for 5th sub: 0.54\n",
      "mCC for 6th sub: 0.83\n",
      "mCC for 7th sub: 0.11\n",
      "mCC for 8th sub: 0.14\n",
      "mCC for 9th sub: 0.06\n",
      "mCC for 10th sub: 0.14\n",
      "mOFC for 1th sub: 0.04\n",
      "mOFC for 2th sub: 0.38\n",
      "mOFC for 3th sub: 0.57\n",
      "mOFC for 4th sub: 0.81\n",
      "mOFC for 5th sub: 0.17\n",
      "mOFC for 6th sub: 0.69\n",
      "mOFC for 7th sub: -0.02\n",
      "mOFC for 8th sub: 0.81\n",
      "mOFC for 9th sub: 0.56\n",
      "mOFC for 10th sub: 0.08\n",
      "Prec for 1th sub: -0.12\n",
      "Prec for 2th sub: 0.27\n",
      "Prec for 3th sub: -0.19\n",
      "Prec for 4th sub: 0.04\n",
      "Prec for 5th sub: 0.09\n",
      "Prec for 6th sub: 0.53\n",
      "Prec for 7th sub: 0.19\n",
      "Prec for 8th sub: 0.16\n",
      "Prec for 9th sub: 0.09\n",
      "Prec for 10th sub: 0.14\n",
      "mPFC for 1th sub: 0.17\n",
      "mPFC for 2th sub: 0.22\n",
      "mPFC for 3th sub: 0.27\n",
      "mPFC for 4th sub: 0.49\n",
      "mPFC for 5th sub: 0.11\n",
      "mPFC for 6th sub: 0.11\n",
      "mPFC for 7th sub: 0.01\n",
      "mPFC for 8th sub: 0.53\n",
      "mPFC for 9th sub: 0.13\n",
      "mPFC for 10th sub: -0.01\n",
      "pSTS for 1th sub: 0.28\n",
      "pSTS for 2th sub: 0.07\n",
      "pSTS for 3th sub: 0.04\n",
      "pSTS for 4th sub: 0.17\n",
      "pSTS for 5th sub: 0.22\n",
      "pSTS for 6th sub: 0.19\n",
      "pSTS for 7th sub: 0.08\n",
      "pSTS for 8th sub: 0.34\n",
      "pSTS for 9th sub: -0.0\n",
      "pSTS for 10th sub: 0.09\n",
      "vlPFC for 1th sub: 0.0\n",
      "vlPFC for 2th sub: 0.2\n",
      "vlPFC for 3th sub: -0.28\n",
      "vlPFC for 4th sub: 0.25\n",
      "vlPFC for 5th sub: 0.46\n",
      "vlPFC for 6th sub: -0.09\n",
      "vlPFC for 7th sub: -0.07\n",
      "vlPFC for 8th sub: 0.03\n",
      "vlPFC for 9th sub: 0.2\n",
      "vlPFC for 10th sub: 0.09\n",
      "dmPFC for 1th sub: 0.11\n",
      "dmPFC for 2th sub: 0.53\n",
      "dmPFC for 3th sub: -0.12\n",
      "dmPFC for 4th sub: -0.09\n",
      "dmPFC for 5th sub: 0.25\n",
      "dmPFC for 6th sub: 0.45\n",
      "dmPFC for 7th sub: -0.08\n",
      "dmPFC for 8th sub: -0.06\n",
      "dmPFC for 9th sub: 0.35\n",
      "dmPFC for 10th sub: 0.13\n",
      "Nac for 1th sub: 0.05\n",
      "Nac for 2th sub: 0.36\n",
      "Nac for 3th sub: -0.15\n",
      "Nac for 4th sub: 0.28\n",
      "Nac for 5th sub: 0.62\n",
      "Nac for 6th sub: 0.15\n",
      "Nac for 7th sub: 0.14\n",
      "Nac for 8th sub: 0.2\n",
      "Nac for 9th sub: 0.59\n",
      "Nac for 10th sub: 0.26\n",
      "IPL for 1th sub: -0.06\n",
      "IPL for 2th sub: 0.03\n",
      "IPL for 3th sub: -0.24\n",
      "IPL for 4th sub: -0.05\n",
      "IPL for 5th sub: -0.04\n",
      "IPL for 6th sub: -0.14\n",
      "IPL for 7th sub: -0.03\n",
      "IPL for 8th sub: 0.05\n",
      "IPL for 9th sub: 0.11\n",
      "IPL for 10th sub: 0.25\n",
      "ACC for 1th sub: 0.19\n",
      "ACC for 2th sub: 0.42\n",
      "ACC for 3th sub: 0.01\n",
      "ACC for 4th sub: 0.04\n",
      "ACC for 5th sub: 0.21\n",
      "ACC for 6th sub: 0.42\n",
      "ACC for 7th sub: 0.18\n",
      "ACC for 8th sub: 0.39\n",
      "ACC for 9th sub: 0.26\n",
      "ACC for 10th sub: 0.21\n",
      "lOFC for 1th sub: 0.4\n",
      "lOFC for 2th sub: 0.14\n",
      "lOFC for 3th sub: 0.29\n",
      "lOFC for 4th sub: 0.64\n",
      "lOFC for 5th sub: 0.09\n",
      "lOFC for 6th sub: 0.01\n",
      "lOFC for 7th sub: 0.02\n",
      "lOFC for 8th sub: 0.76\n",
      "lOFC for 9th sub: 0.62\n",
      "lOFC for 10th sub: 0.14\n",
      "Put for 1th sub: 0.02\n",
      "Put for 2th sub: 0.13\n",
      "Put for 3th sub: 0.16\n",
      "Put for 4th sub: -0.02\n",
      "Put for 5th sub: 0.36\n",
      "Put for 6th sub: 0.07\n",
      "Put for 7th sub: 0.12\n",
      "Put for 8th sub: 0.29\n",
      "Put for 9th sub: 0.28\n",
      "Put for 10th sub: 0.2\n",
      "AMY for 1th sub: -0.06\n",
      "AMY for 2th sub: 0.54\n",
      "AMY for 3th sub: 0.46\n",
      "AMY for 4th sub: -0.0\n",
      "AMY for 5th sub: 0.11\n",
      "AMY for 6th sub: 0.5\n",
      "AMY for 7th sub: 0.14\n",
      "AMY for 8th sub: 0.62\n",
      "AMY for 9th sub: 0.13\n",
      "AMY for 10th sub: 0.1\n",
      "TP for 1th sub: 0.39\n",
      "TP for 2th sub: 0.33\n",
      "TP for 3th sub: 0.57\n",
      "TP for 4th sub: 0.09\n",
      "TP for 5th sub: 0.59\n",
      "TP for 6th sub: 0.15\n",
      "TP for 7th sub: 0.21\n",
      "TP for 8th sub: 0.6\n",
      "TP for 9th sub: 0.59\n",
      "TP for 10th sub: 0.58\n",
      "\n",
      "***Average across test subjects Correlation Coefficient between 12 ahead predicted and actual average BOLD values for ROIs***\n",
      "\n",
      "dlPFC: 0.02\n",
      "INS: 0.11\n",
      "VC: 0.01\n",
      "Cau: 0.2\n",
      "PCC: 0.17\n",
      "PCG: 0.15\n",
      "mCC: 0.16\n",
      "mOFC: 0.41\n",
      "Prec: 0.12\n",
      "mPFC: 0.2\n",
      "pSTS: 0.15\n",
      "vlPFC: 0.08\n",
      "dmPFC: 0.15\n",
      "Nac: 0.25\n",
      "IPL: -0.01\n",
      "ACC: 0.23\n",
      "lOFC: 0.31\n",
      "Put: 0.16\n",
      "AMY: 0.25\n",
      "TP: 0.41\n",
      "***Each Test Subject's Correlation Coefficient between 13 ahead predicted and actual average BOLD values for ROIs***\n",
      "\n",
      "dlPFC for 1th sub: -0.14\n",
      "dlPFC for 2th sub: 0.21\n",
      "dlPFC for 3th sub: -0.22\n",
      "dlPFC for 4th sub: -0.19\n",
      "dlPFC for 5th sub: 0.23\n",
      "dlPFC for 6th sub: -0.01\n",
      "dlPFC for 7th sub: 0.04\n",
      "dlPFC for 8th sub: -0.08\n",
      "dlPFC for 9th sub: 0.02\n",
      "dlPFC for 10th sub: 0.02\n",
      "INS for 1th sub: 0.02\n",
      "INS for 2th sub: 0.62\n",
      "INS for 3th sub: -0.16\n",
      "INS for 4th sub: 0.17\n",
      "INS for 5th sub: 0.15\n",
      "INS for 6th sub: 0.42\n",
      "INS for 7th sub: -0.03\n",
      "INS for 8th sub: -0.01\n",
      "INS for 9th sub: -0.13\n",
      "INS for 10th sub: 0.18\n",
      "VC for 1th sub: 0.03\n",
      "VC for 2th sub: -0.16\n",
      "VC for 3th sub: -0.26\n",
      "VC for 4th sub: -0.11\n",
      "VC for 5th sub: -0.05\n",
      "VC for 6th sub: 0.12\n",
      "VC for 7th sub: -0.03\n",
      "VC for 8th sub: 0.34\n",
      "VC for 9th sub: -0.03\n",
      "VC for 10th sub: 0.36\n",
      "Cau for 1th sub: 0.03\n",
      "Cau for 2th sub: 0.59\n",
      "Cau for 3th sub: -0.19\n",
      "Cau for 4th sub: -0.12\n",
      "Cau for 5th sub: 0.63\n",
      "Cau for 6th sub: 0.06\n",
      "Cau for 7th sub: 0.05\n",
      "Cau for 8th sub: 0.12\n",
      "Cau for 9th sub: 0.33\n",
      "Cau for 10th sub: 0.26\n",
      "PCC for 1th sub: 0.07\n",
      "PCC for 2th sub: 0.26\n",
      "PCC for 3th sub: -0.09\n",
      "PCC for 4th sub: -0.03\n",
      "PCC for 5th sub: 0.2\n",
      "PCC for 6th sub: 0.57\n",
      "PCC for 7th sub: 0.12\n",
      "PCC for 8th sub: 0.26\n",
      "PCC for 9th sub: 0.08\n",
      "PCC for 10th sub: 0.2\n",
      "PCG for 1th sub: 0.1\n",
      "PCG for 2th sub: 0.34\n",
      "PCG for 3th sub: -0.29\n",
      "PCG for 4th sub: -0.16\n",
      "PCG for 5th sub: 0.14\n",
      "PCG for 6th sub: 0.39\n",
      "PCG for 7th sub: 0.09\n",
      "PCG for 8th sub: -0.06\n",
      "PCG for 9th sub: 0.3\n",
      "PCG for 10th sub: 0.41\n",
      "mCC for 1th sub: 0.12\n",
      "mCC for 2th sub: -0.13\n",
      "mCC for 3th sub: -0.23\n",
      "mCC for 4th sub: -0.18\n",
      "mCC for 5th sub: 0.55\n",
      "mCC for 6th sub: 0.81\n",
      "mCC for 7th sub: 0.1\n",
      "mCC for 8th sub: 0.15\n",
      "mCC for 9th sub: 0.06\n",
      "mCC for 10th sub: 0.12\n",
      "mOFC for 1th sub: 0.08\n",
      "mOFC for 2th sub: 0.38\n",
      "mOFC for 3th sub: 0.53\n",
      "mOFC for 4th sub: 0.8\n",
      "mOFC for 5th sub: 0.18\n",
      "mOFC for 6th sub: 0.74\n",
      "mOFC for 7th sub: -0.1\n",
      "mOFC for 8th sub: 0.79\n",
      "mOFC for 9th sub: 0.52\n",
      "mOFC for 10th sub: 0.07\n",
      "Prec for 1th sub: -0.05\n",
      "Prec for 2th sub: 0.3\n",
      "Prec for 3th sub: -0.17\n",
      "Prec for 4th sub: 0.09\n",
      "Prec for 5th sub: 0.16\n",
      "Prec for 6th sub: 0.57\n",
      "Prec for 7th sub: 0.22\n",
      "Prec for 8th sub: 0.12\n",
      "Prec for 9th sub: 0.08\n",
      "Prec for 10th sub: 0.18\n",
      "mPFC for 1th sub: 0.21\n",
      "mPFC for 2th sub: 0.19\n",
      "mPFC for 3th sub: 0.2\n",
      "mPFC for 4th sub: 0.48\n",
      "mPFC for 5th sub: 0.08\n",
      "mPFC for 6th sub: 0.17\n",
      "mPFC for 7th sub: 0.04\n",
      "mPFC for 8th sub: 0.51\n",
      "mPFC for 9th sub: 0.09\n",
      "mPFC for 10th sub: -0.02\n",
      "pSTS for 1th sub: 0.26\n",
      "pSTS for 2th sub: 0.05\n",
      "pSTS for 3th sub: 0.02\n",
      "pSTS for 4th sub: 0.12\n",
      "pSTS for 5th sub: 0.25\n",
      "pSTS for 6th sub: 0.21\n",
      "pSTS for 7th sub: 0.11\n",
      "pSTS for 8th sub: 0.3\n",
      "pSTS for 9th sub: -0.03\n",
      "pSTS for 10th sub: 0.06\n",
      "vlPFC for 1th sub: 0.01\n",
      "vlPFC for 2th sub: 0.19\n",
      "vlPFC for 3th sub: -0.3\n",
      "vlPFC for 4th sub: 0.26\n",
      "vlPFC for 5th sub: 0.48\n",
      "vlPFC for 6th sub: -0.07\n",
      "vlPFC for 7th sub: -0.09\n",
      "vlPFC for 8th sub: -0.01\n",
      "vlPFC for 9th sub: 0.15\n",
      "vlPFC for 10th sub: 0.1\n",
      "dmPFC for 1th sub: 0.18\n",
      "dmPFC for 2th sub: 0.48\n",
      "dmPFC for 3th sub: -0.2\n",
      "dmPFC for 4th sub: -0.01\n",
      "dmPFC for 5th sub: 0.23\n",
      "dmPFC for 6th sub: 0.45\n",
      "dmPFC for 7th sub: -0.07\n",
      "dmPFC for 8th sub: -0.09\n",
      "dmPFC for 9th sub: 0.4\n",
      "dmPFC for 10th sub: 0.12\n",
      "Nac for 1th sub: 0.01\n",
      "Nac for 2th sub: 0.32\n",
      "Nac for 3th sub: -0.21\n",
      "Nac for 4th sub: 0.21\n",
      "Nac for 5th sub: 0.63\n",
      "Nac for 6th sub: 0.11\n",
      "Nac for 7th sub: 0.13\n",
      "Nac for 8th sub: 0.1\n",
      "Nac for 9th sub: 0.56\n",
      "Nac for 10th sub: 0.24\n",
      "IPL for 1th sub: -0.07\n",
      "IPL for 2th sub: -0.02\n",
      "IPL for 3th sub: -0.27\n",
      "IPL for 4th sub: -0.02\n",
      "IPL for 5th sub: -0.05\n",
      "IPL for 6th sub: -0.18\n",
      "IPL for 7th sub: -0.06\n",
      "IPL for 8th sub: 0.04\n",
      "IPL for 9th sub: 0.1\n",
      "IPL for 10th sub: 0.27\n",
      "ACC for 1th sub: 0.14\n",
      "ACC for 2th sub: 0.38\n",
      "ACC for 3th sub: -0.03\n",
      "ACC for 4th sub: 0.03\n",
      "ACC for 5th sub: 0.25\n",
      "ACC for 6th sub: 0.37\n",
      "ACC for 7th sub: 0.23\n",
      "ACC for 8th sub: 0.36\n",
      "ACC for 9th sub: 0.21\n",
      "ACC for 10th sub: 0.16\n",
      "lOFC for 1th sub: 0.36\n",
      "lOFC for 2th sub: 0.09\n",
      "lOFC for 3th sub: 0.22\n",
      "lOFC for 4th sub: 0.62\n",
      "lOFC for 5th sub: 0.01\n",
      "lOFC for 6th sub: 0.01\n",
      "lOFC for 7th sub: 0.05\n",
      "lOFC for 8th sub: 0.76\n",
      "lOFC for 9th sub: 0.59\n",
      "lOFC for 10th sub: 0.09\n",
      "Put for 1th sub: 0.06\n",
      "Put for 2th sub: 0.12\n",
      "Put for 3th sub: 0.14\n",
      "Put for 4th sub: -0.05\n",
      "Put for 5th sub: 0.37\n",
      "Put for 6th sub: 0.03\n",
      "Put for 7th sub: 0.13\n",
      "Put for 8th sub: 0.24\n",
      "Put for 9th sub: 0.23\n",
      "Put for 10th sub: 0.21\n",
      "AMY for 1th sub: -0.06\n",
      "AMY for 2th sub: 0.48\n",
      "AMY for 3th sub: 0.46\n",
      "AMY for 4th sub: -0.06\n",
      "AMY for 5th sub: 0.15\n",
      "AMY for 6th sub: 0.55\n",
      "AMY for 7th sub: 0.19\n",
      "AMY for 8th sub: 0.61\n",
      "AMY for 9th sub: 0.12\n",
      "AMY for 10th sub: 0.13\n",
      "TP for 1th sub: 0.38\n",
      "TP for 2th sub: 0.27\n",
      "TP for 3th sub: 0.54\n",
      "TP for 4th sub: 0.09\n",
      "TP for 5th sub: 0.57\n",
      "TP for 6th sub: 0.09\n",
      "TP for 7th sub: 0.22\n",
      "TP for 8th sub: 0.59\n",
      "TP for 9th sub: 0.57\n",
      "TP for 10th sub: 0.59\n",
      "\n",
      "***Average across test subjects Correlation Coefficient between 13 ahead predicted and actual average BOLD values for ROIs***\n",
      "\n",
      "dlPFC: -0.01\n",
      "INS: 0.12\n",
      "VC: 0.02\n",
      "Cau: 0.18\n",
      "PCC: 0.16\n",
      "PCG: 0.13\n",
      "mCC: 0.14\n",
      "mOFC: 0.4\n",
      "Prec: 0.15\n",
      "mPFC: 0.19\n",
      "pSTS: 0.13\n",
      "vlPFC: 0.07\n",
      "dmPFC: 0.15\n",
      "Nac: 0.21\n",
      "IPL: -0.03\n",
      "ACC: 0.21\n",
      "lOFC: 0.28\n",
      "Put: 0.15\n",
      "AMY: 0.26\n",
      "TP: 0.39\n",
      "***Each Test Subject's Correlation Coefficient between 14 ahead predicted and actual average BOLD values for ROIs***\n",
      "\n",
      "dlPFC for 1th sub: -0.13\n",
      "dlPFC for 2th sub: 0.11\n",
      "dlPFC for 3th sub: -0.25\n",
      "dlPFC for 4th sub: -0.16\n",
      "dlPFC for 5th sub: 0.23\n",
      "dlPFC for 6th sub: -0.04\n",
      "dlPFC for 7th sub: -0.04\n",
      "dlPFC for 8th sub: -0.15\n",
      "dlPFC for 9th sub: 0.0\n",
      "dlPFC for 10th sub: -0.04\n",
      "INS for 1th sub: -0.01\n",
      "INS for 2th sub: 0.57\n",
      "INS for 3th sub: -0.15\n",
      "INS for 4th sub: 0.25\n",
      "INS for 5th sub: 0.15\n",
      "INS for 6th sub: 0.39\n",
      "INS for 7th sub: -0.04\n",
      "INS for 8th sub: 0.03\n",
      "INS for 9th sub: -0.15\n",
      "INS for 10th sub: 0.19\n",
      "VC for 1th sub: 0.01\n",
      "VC for 2th sub: -0.13\n",
      "VC for 3th sub: -0.29\n",
      "VC for 4th sub: -0.12\n",
      "VC for 5th sub: -0.03\n",
      "VC for 6th sub: 0.06\n",
      "VC for 7th sub: -0.03\n",
      "VC for 8th sub: 0.32\n",
      "VC for 9th sub: 0.02\n",
      "VC for 10th sub: 0.33\n",
      "Cau for 1th sub: -0.03\n",
      "Cau for 2th sub: 0.55\n",
      "Cau for 3th sub: -0.18\n",
      "Cau for 4th sub: -0.1\n",
      "Cau for 5th sub: 0.65\n",
      "Cau for 6th sub: 0.21\n",
      "Cau for 7th sub: 0.1\n",
      "Cau for 8th sub: 0.14\n",
      "Cau for 9th sub: 0.3\n",
      "Cau for 10th sub: 0.22\n",
      "PCC for 1th sub: 0.08\n",
      "PCC for 2th sub: 0.22\n",
      "PCC for 3th sub: -0.14\n",
      "PCC for 4th sub: -0.1\n",
      "PCC for 5th sub: 0.26\n",
      "PCC for 6th sub: 0.53\n",
      "PCC for 7th sub: 0.07\n",
      "PCC for 8th sub: 0.2\n",
      "PCC for 9th sub: -0.02\n",
      "PCC for 10th sub: 0.15\n",
      "PCG for 1th sub: 0.08\n",
      "PCG for 2th sub: 0.31\n",
      "PCG for 3th sub: -0.32\n",
      "PCG for 4th sub: -0.17\n",
      "PCG for 5th sub: 0.19\n",
      "PCG for 6th sub: 0.38\n",
      "PCG for 7th sub: 0.07\n",
      "PCG for 8th sub: -0.09\n",
      "PCG for 9th sub: 0.29\n",
      "PCG for 10th sub: 0.42\n",
      "mCC for 1th sub: 0.04\n",
      "mCC for 2th sub: -0.2\n",
      "mCC for 3th sub: -0.28\n",
      "mCC for 4th sub: -0.19\n",
      "mCC for 5th sub: 0.61\n",
      "mCC for 6th sub: 0.8\n",
      "mCC for 7th sub: 0.12\n",
      "mCC for 8th sub: 0.04\n",
      "mCC for 9th sub: 0.05\n",
      "mCC for 10th sub: 0.08\n",
      "mOFC for 1th sub: 0.04\n",
      "mOFC for 2th sub: 0.37\n",
      "mOFC for 3th sub: 0.51\n",
      "mOFC for 4th sub: 0.8\n",
      "mOFC for 5th sub: 0.15\n",
      "mOFC for 6th sub: 0.71\n",
      "mOFC for 7th sub: -0.18\n",
      "mOFC for 8th sub: 0.8\n",
      "mOFC for 9th sub: 0.47\n",
      "mOFC for 10th sub: 0.1\n",
      "Prec for 1th sub: 0.04\n",
      "Prec for 2th sub: 0.29\n",
      "Prec for 3th sub: -0.14\n",
      "Prec for 4th sub: 0.15\n",
      "Prec for 5th sub: 0.22\n",
      "Prec for 6th sub: 0.53\n",
      "Prec for 7th sub: 0.26\n",
      "Prec for 8th sub: 0.14\n",
      "Prec for 9th sub: 0.08\n",
      "Prec for 10th sub: 0.22\n",
      "mPFC for 1th sub: 0.2\n",
      "mPFC for 2th sub: 0.17\n",
      "mPFC for 3th sub: 0.14\n",
      "mPFC for 4th sub: 0.45\n",
      "mPFC for 5th sub: 0.02\n",
      "mPFC for 6th sub: 0.19\n",
      "mPFC for 7th sub: 0.1\n",
      "mPFC for 8th sub: 0.51\n",
      "mPFC for 9th sub: 0.13\n",
      "mPFC for 10th sub: -0.03\n",
      "pSTS for 1th sub: 0.23\n",
      "pSTS for 2th sub: 0.06\n",
      "pSTS for 3th sub: -0.01\n",
      "pSTS for 4th sub: 0.06\n",
      "pSTS for 5th sub: 0.25\n",
      "pSTS for 6th sub: 0.18\n",
      "pSTS for 7th sub: 0.13\n",
      "pSTS for 8th sub: 0.23\n",
      "pSTS for 9th sub: -0.05\n",
      "pSTS for 10th sub: 0.02\n",
      "vlPFC for 1th sub: 0.01\n",
      "vlPFC for 2th sub: 0.12\n",
      "vlPFC for 3th sub: -0.3\n",
      "vlPFC for 4th sub: 0.23\n",
      "vlPFC for 5th sub: 0.47\n",
      "vlPFC for 6th sub: -0.07\n",
      "vlPFC for 7th sub: -0.12\n",
      "vlPFC for 8th sub: -0.05\n",
      "vlPFC for 9th sub: 0.11\n",
      "vlPFC for 10th sub: 0.05\n",
      "dmPFC for 1th sub: 0.17\n",
      "dmPFC for 2th sub: 0.49\n",
      "dmPFC for 3th sub: -0.26\n",
      "dmPFC for 4th sub: -0.06\n",
      "dmPFC for 5th sub: 0.23\n",
      "dmPFC for 6th sub: 0.48\n",
      "dmPFC for 7th sub: -0.04\n",
      "dmPFC for 8th sub: -0.12\n",
      "dmPFC for 9th sub: 0.35\n",
      "dmPFC for 10th sub: 0.1\n",
      "Nac for 1th sub: -0.03\n",
      "Nac for 2th sub: 0.26\n",
      "Nac for 3th sub: -0.2\n",
      "Nac for 4th sub: 0.27\n",
      "Nac for 5th sub: 0.64\n",
      "Nac for 6th sub: 0.21\n",
      "Nac for 7th sub: 0.13\n",
      "Nac for 8th sub: 0.13\n",
      "Nac for 9th sub: 0.53\n",
      "Nac for 10th sub: 0.23\n",
      "IPL for 1th sub: -0.08\n",
      "IPL for 2th sub: -0.06\n",
      "IPL for 3th sub: -0.25\n",
      "IPL for 4th sub: -0.02\n",
      "IPL for 5th sub: -0.0\n",
      "IPL for 6th sub: -0.23\n",
      "IPL for 7th sub: -0.05\n",
      "IPL for 8th sub: 0.04\n",
      "IPL for 9th sub: 0.08\n",
      "IPL for 10th sub: 0.27\n",
      "ACC for 1th sub: 0.18\n",
      "ACC for 2th sub: 0.38\n",
      "ACC for 3th sub: -0.07\n",
      "ACC for 4th sub: 0.03\n",
      "ACC for 5th sub: 0.31\n",
      "ACC for 6th sub: 0.35\n",
      "ACC for 7th sub: 0.25\n",
      "ACC for 8th sub: 0.38\n",
      "ACC for 9th sub: 0.19\n",
      "ACC for 10th sub: 0.17\n",
      "lOFC for 1th sub: 0.32\n",
      "lOFC for 2th sub: 0.04\n",
      "lOFC for 3th sub: 0.17\n",
      "lOFC for 4th sub: 0.62\n",
      "lOFC for 5th sub: -0.0\n",
      "lOFC for 6th sub: 0.03\n",
      "lOFC for 7th sub: -0.05\n",
      "lOFC for 8th sub: 0.74\n",
      "lOFC for 9th sub: 0.56\n",
      "lOFC for 10th sub: 0.09\n",
      "Put for 1th sub: 0.03\n",
      "Put for 2th sub: 0.17\n",
      "Put for 3th sub: 0.14\n",
      "Put for 4th sub: 0.05\n",
      "Put for 5th sub: 0.44\n",
      "Put for 6th sub: 0.04\n",
      "Put for 7th sub: 0.03\n",
      "Put for 8th sub: 0.18\n",
      "Put for 9th sub: 0.27\n",
      "Put for 10th sub: 0.13\n",
      "AMY for 1th sub: -0.04\n",
      "AMY for 2th sub: 0.49\n",
      "AMY for 3th sub: 0.42\n",
      "AMY for 4th sub: -0.12\n",
      "AMY for 5th sub: 0.19\n",
      "AMY for 6th sub: 0.54\n",
      "AMY for 7th sub: 0.18\n",
      "AMY for 8th sub: 0.62\n",
      "AMY for 9th sub: 0.01\n",
      "AMY for 10th sub: 0.25\n",
      "TP for 1th sub: 0.32\n",
      "TP for 2th sub: 0.31\n",
      "TP for 3th sub: 0.51\n",
      "TP for 4th sub: 0.07\n",
      "TP for 5th sub: 0.53\n",
      "TP for 6th sub: 0.07\n",
      "TP for 7th sub: 0.2\n",
      "TP for 8th sub: 0.54\n",
      "TP for 9th sub: 0.56\n",
      "TP for 10th sub: 0.55\n",
      "\n",
      "***Average across test subjects Correlation Coefficient between 14 ahead predicted and actual average BOLD values for ROIs***\n",
      "\n",
      "dlPFC: -0.05\n",
      "INS: 0.12\n",
      "VC: 0.01\n",
      "Cau: 0.19\n",
      "PCC: 0.13\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "PCG: 0.11\n",
      "mCC: 0.11\n",
      "mOFC: 0.38\n",
      "Prec: 0.18\n",
      "mPFC: 0.19\n",
      "pSTS: 0.11\n",
      "vlPFC: 0.05\n",
      "dmPFC: 0.13\n",
      "Nac: 0.22\n",
      "IPL: -0.03\n",
      "ACC: 0.22\n",
      "lOFC: 0.25\n",
      "Put: 0.15\n",
      "AMY: 0.25\n",
      "TP: 0.36\n",
      "***Each Test Subject's Correlation Coefficient between 15 ahead predicted and actual average BOLD values for ROIs***\n",
      "\n",
      "dlPFC for 1th sub: -0.1\n",
      "dlPFC for 2th sub: 0.01\n",
      "dlPFC for 3th sub: -0.26\n",
      "dlPFC for 4th sub: -0.16\n",
      "dlPFC for 5th sub: 0.25\n",
      "dlPFC for 6th sub: -0.05\n",
      "dlPFC for 7th sub: -0.09\n",
      "dlPFC for 8th sub: -0.19\n",
      "dlPFC for 9th sub: -0.05\n",
      "dlPFC for 10th sub: -0.02\n",
      "INS for 1th sub: -0.04\n",
      "INS for 2th sub: 0.55\n",
      "INS for 3th sub: -0.14\n",
      "INS for 4th sub: 0.28\n",
      "INS for 5th sub: 0.1\n",
      "INS for 6th sub: 0.39\n",
      "INS for 7th sub: -0.11\n",
      "INS for 8th sub: 0.13\n",
      "INS for 9th sub: -0.16\n",
      "INS for 10th sub: 0.2\n",
      "VC for 1th sub: 0.01\n",
      "VC for 2th sub: -0.08\n",
      "VC for 3th sub: -0.27\n",
      "VC for 4th sub: -0.12\n",
      "VC for 5th sub: -0.01\n",
      "VC for 6th sub: 0.0\n",
      "VC for 7th sub: -0.07\n",
      "VC for 8th sub: 0.3\n",
      "VC for 9th sub: 0.04\n",
      "VC for 10th sub: 0.3\n",
      "Cau for 1th sub: 0.04\n",
      "Cau for 2th sub: 0.55\n",
      "Cau for 3th sub: -0.2\n",
      "Cau for 4th sub: 0.01\n",
      "Cau for 5th sub: 0.6\n",
      "Cau for 6th sub: 0.08\n",
      "Cau for 7th sub: 0.08\n",
      "Cau for 8th sub: 0.09\n",
      "Cau for 9th sub: 0.27\n",
      "Cau for 10th sub: 0.2\n",
      "PCC for 1th sub: 0.12\n",
      "PCC for 2th sub: 0.21\n",
      "PCC for 3th sub: -0.13\n",
      "PCC for 4th sub: -0.08\n",
      "PCC for 5th sub: 0.25\n",
      "PCC for 6th sub: 0.47\n",
      "PCC for 7th sub: 0.09\n",
      "PCC for 8th sub: 0.25\n",
      "PCC for 9th sub: -0.03\n",
      "PCC for 10th sub: 0.17\n",
      "PCG for 1th sub: 0.11\n",
      "PCG for 2th sub: 0.31\n",
      "PCG for 3th sub: -0.33\n",
      "PCG for 4th sub: -0.2\n",
      "PCG for 5th sub: 0.17\n",
      "PCG for 6th sub: 0.38\n",
      "PCG for 7th sub: 0.12\n",
      "PCG for 8th sub: -0.15\n",
      "PCG for 9th sub: 0.32\n",
      "PCG for 10th sub: 0.45\n",
      "mCC for 1th sub: 0.1\n",
      "mCC for 2th sub: -0.23\n",
      "mCC for 3th sub: -0.24\n",
      "mCC for 4th sub: -0.16\n",
      "mCC for 5th sub: 0.62\n",
      "mCC for 6th sub: 0.82\n",
      "mCC for 7th sub: 0.05\n",
      "mCC for 8th sub: 0.18\n",
      "mCC for 9th sub: 0.09\n",
      "mCC for 10th sub: 0.11\n",
      "mOFC for 1th sub: 0.01\n",
      "mOFC for 2th sub: 0.36\n",
      "mOFC for 3th sub: 0.5\n",
      "mOFC for 4th sub: 0.78\n",
      "mOFC for 5th sub: 0.09\n",
      "mOFC for 6th sub: 0.68\n",
      "mOFC for 7th sub: -0.12\n",
      "mOFC for 8th sub: 0.79\n",
      "mOFC for 9th sub: 0.43\n",
      "mOFC for 10th sub: 0.15\n",
      "Prec for 1th sub: 0.15\n",
      "Prec for 2th sub: 0.28\n",
      "Prec for 3th sub: -0.09\n",
      "Prec for 4th sub: 0.17\n",
      "Prec for 5th sub: 0.25\n",
      "Prec for 6th sub: 0.47\n",
      "Prec for 7th sub: 0.25\n",
      "Prec for 8th sub: 0.23\n",
      "Prec for 9th sub: 0.07\n",
      "Prec for 10th sub: 0.25\n",
      "mPFC for 1th sub: 0.2\n",
      "mPFC for 2th sub: 0.13\n",
      "mPFC for 3th sub: 0.13\n",
      "mPFC for 4th sub: 0.44\n",
      "mPFC for 5th sub: -0.07\n",
      "mPFC for 6th sub: 0.23\n",
      "mPFC for 7th sub: 0.06\n",
      "mPFC for 8th sub: 0.5\n",
      "mPFC for 9th sub: 0.13\n",
      "mPFC for 10th sub: -0.07\n",
      "pSTS for 1th sub: 0.26\n",
      "pSTS for 2th sub: 0.08\n",
      "pSTS for 3th sub: 0.0\n",
      "pSTS for 4th sub: 0.14\n",
      "pSTS for 5th sub: 0.25\n",
      "pSTS for 6th sub: 0.21\n",
      "pSTS for 7th sub: 0.12\n",
      "pSTS for 8th sub: 0.28\n",
      "pSTS for 9th sub: -0.04\n",
      "pSTS for 10th sub: -0.02\n",
      "vlPFC for 1th sub: 0.03\n",
      "vlPFC for 2th sub: 0.04\n",
      "vlPFC for 3th sub: -0.29\n",
      "vlPFC for 4th sub: 0.23\n",
      "vlPFC for 5th sub: 0.44\n",
      "vlPFC for 6th sub: -0.13\n",
      "vlPFC for 7th sub: -0.13\n",
      "vlPFC for 8th sub: -0.0\n",
      "vlPFC for 9th sub: 0.08\n",
      "vlPFC for 10th sub: 0.02\n",
      "dmPFC for 1th sub: 0.24\n",
      "dmPFC for 2th sub: 0.5\n",
      "dmPFC for 3th sub: -0.29\n",
      "dmPFC for 4th sub: -0.06\n",
      "dmPFC for 5th sub: 0.2\n",
      "dmPFC for 6th sub: 0.48\n",
      "dmPFC for 7th sub: 0.01\n",
      "dmPFC for 8th sub: -0.14\n",
      "dmPFC for 9th sub: 0.36\n",
      "dmPFC for 10th sub: 0.05\n",
      "Nac for 1th sub: 0.04\n",
      "Nac for 2th sub: 0.27\n",
      "Nac for 3th sub: -0.24\n",
      "Nac for 4th sub: 0.33\n",
      "Nac for 5th sub: 0.61\n",
      "Nac for 6th sub: 0.15\n",
      "Nac for 7th sub: 0.12\n",
      "Nac for 8th sub: 0.07\n",
      "Nac for 9th sub: 0.49\n",
      "Nac for 10th sub: 0.16\n",
      "IPL for 1th sub: -0.07\n",
      "IPL for 2th sub: -0.08\n",
      "IPL for 3th sub: -0.25\n",
      "IPL for 4th sub: 0.02\n",
      "IPL for 5th sub: -0.03\n",
      "IPL for 6th sub: -0.3\n",
      "IPL for 7th sub: -0.02\n",
      "IPL for 8th sub: 0.1\n",
      "IPL for 9th sub: 0.08\n",
      "IPL for 10th sub: 0.3\n",
      "ACC for 1th sub: 0.14\n",
      "ACC for 2th sub: 0.35\n",
      "ACC for 3th sub: -0.08\n",
      "ACC for 4th sub: 0.07\n",
      "ACC for 5th sub: 0.28\n",
      "ACC for 6th sub: 0.34\n",
      "ACC for 7th sub: 0.26\n",
      "ACC for 8th sub: 0.43\n",
      "ACC for 9th sub: 0.11\n",
      "ACC for 10th sub: 0.18\n",
      "lOFC for 1th sub: 0.32\n",
      "lOFC for 2th sub: -0.01\n",
      "lOFC for 3th sub: 0.14\n",
      "lOFC for 4th sub: 0.62\n",
      "lOFC for 5th sub: -0.02\n",
      "lOFC for 6th sub: 0.01\n",
      "lOFC for 7th sub: -0.04\n",
      "lOFC for 8th sub: 0.76\n",
      "lOFC for 9th sub: 0.52\n",
      "lOFC for 10th sub: 0.11\n",
      "Put for 1th sub: 0.07\n",
      "Put for 2th sub: 0.11\n",
      "Put for 3th sub: 0.14\n",
      "Put for 4th sub: 0.1\n",
      "Put for 5th sub: 0.41\n",
      "Put for 6th sub: -0.04\n",
      "Put for 7th sub: -0.04\n",
      "Put for 8th sub: 0.2\n",
      "Put for 9th sub: 0.27\n",
      "Put for 10th sub: 0.04\n",
      "AMY for 1th sub: -0.09\n",
      "AMY for 2th sub: 0.5\n",
      "AMY for 3th sub: 0.38\n",
      "AMY for 4th sub: -0.15\n",
      "AMY for 5th sub: 0.11\n",
      "AMY for 6th sub: 0.6\n",
      "AMY for 7th sub: 0.15\n",
      "AMY for 8th sub: 0.62\n",
      "AMY for 9th sub: 0.0\n",
      "AMY for 10th sub: 0.11\n",
      "TP for 1th sub: 0.34\n",
      "TP for 2th sub: 0.29\n",
      "TP for 3th sub: 0.52\n",
      "TP for 4th sub: 0.05\n",
      "TP for 5th sub: 0.56\n",
      "TP for 6th sub: 0.12\n",
      "TP for 7th sub: 0.21\n",
      "TP for 8th sub: 0.55\n",
      "TP for 9th sub: 0.55\n",
      "TP for 10th sub: 0.57\n",
      "\n",
      "***Average across test subjects Correlation Coefficient between 15 ahead predicted and actual average BOLD values for ROIs***\n",
      "\n",
      "dlPFC: -0.07\n",
      "INS: 0.12\n",
      "VC: 0.01\n",
      "Cau: 0.17\n",
      "PCC: 0.13\n",
      "PCG: 0.12\n",
      "mCC: 0.13\n",
      "mOFC: 0.37\n",
      "Prec: 0.2\n",
      "mPFC: 0.17\n",
      "pSTS: 0.13\n",
      "vlPFC: 0.03\n",
      "dmPFC: 0.14\n",
      "Nac: 0.2\n",
      "IPL: -0.02\n",
      "ACC: 0.21\n",
      "lOFC: 0.24\n",
      "Put: 0.12\n",
      "AMY: 0.22\n",
      "TP: 0.38\n"
     ]
    }
   ],
   "source": [
    "TR_ROI_corr_subs, AVG_TR_ROI_corr_subs = list(), list()\n",
    "for LOOK_AHEAD in LOOK_AHEADS:\n",
    "    print(f\"***Each Test Subject's Correlation Coefficient between {LOOK_AHEAD} ahead predicted and actual average BOLD values for ROIs***\")\n",
    "    print()\n",
    "    avg_r = list()\n",
    "    ROI_corr_subs = list()\n",
    "    for i in range(len(ROI_names)):\n",
    "        actual_test_data_output = np.squeeze(test_data_unscaled[i])[:,LOOK_AHEAD:] \n",
    "        pred_test_data_output = scalers[i].inverse_transform(np.hstack([preds[LOOK_AHEAD-1][i][:,:,0], preds[LOOK_AHEAD-1][i][:,:LOOK_AHEAD,0]]))[:,:-LOOK_AHEAD]\n",
    "        corr_subs = list()\n",
    "        for j in range(NUM_TEST_SUBS):\n",
    "            corr_subs.append(np.round(np.corrcoef(actual_test_data_output[j,:], pred_test_data_output[j,:])[0,1], 2))\n",
    "            print(f\"{ROI_names[i]} for {j+1}th sub: {corr_subs[j]}\")\n",
    "        ROI_corr_subs.append(corr_subs)\n",
    "    TR_ROI_corr_subs.append(ROI_corr_subs)\n",
    "    print()\n",
    "\n",
    "    print(f\"***Average across test subjects Correlation Coefficient between {LOOK_AHEAD} ahead predicted and actual average BOLD values for ROIs***\")\n",
    "    print()\n",
    "    ROI_corr_subs = list()\n",
    "    for i in range(len(ROI_names)):\n",
    "        actual_test_data_output = np.squeeze(test_data_unscaled[i])[:,LOOK_AHEAD:] \n",
    "        pred_test_data_output = scalers[i].inverse_transform(np.hstack([preds[LOOK_AHEAD-1][i][:,:,0], preds[LOOK_AHEAD-1][i][:,:LOOK_AHEAD,0]]))[:,:-LOOK_AHEAD]\n",
    "        sum_r = 0\n",
    "        for j in range(NUM_TEST_SUBS):\n",
    "            sum_r += np.corrcoef(actual_test_data_output[j,:], pred_test_data_output[j,:])[0,1]\n",
    "        ROI_corr_subs.append(np.round(sum_r / NUM_TEST_SUBS, 2))\n",
    "        print(f\"{ROI_names[i]}: {ROI_corr_subs[i]}\")\n",
    "    AVG_TR_ROI_corr_subs.append(ROI_corr_subs)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 130,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(20, 15, 10) (20, 15)\n"
     ]
    }
   ],
   "source": [
    "TR_ROI_corr_subs = np.transpose(np.array(TR_ROI_corr_subs), (1,0,2))\n",
    "AVG_TR_ROI_corr_subs = np.array(AVG_TR_ROI_corr_subs).T\n",
    "print(TR_ROI_corr_subs.shape, AVG_TR_ROI_corr_subs.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "for i in range(len(ROI_names)):\n",
    "    plt.figure(figsize=(24, 18))\n",
    "\n",
    "    for j in range(NUM_TEST_SUBS-1):\n",
    "\n",
    "        ax = plt.subplot(3, 3, j + 1)\n",
    "        plt.plot(TR_ROI_corr_subs[i, :, j])\n",
    "        plt.xticks(np.arange(1, 16))\n",
    "        plt.ylabel(\"Correlation\")\n",
    "        plt.xlabel(\"Ahead TRs\")\n",
    "        plt.title(f\"Avg BOLD Corr of {LSTM_LAYERS}L-{HIDDEN_UNITS}H-{DENSE_LAYERS}D-{int(DROPOUT_PROB*10)}Drop for {j+1}th Test Sub's {ROI_names[i]}\")\n",
    "    plt.savefig(f\"./Plots/YOUNG/LSTM/AVG-BOLD-TEST-ENLARGED/{ROI_names[i]}/{LSTM_LAYERS}L-{HIDDEN_UNITS}H-{DENSE_LAYERS}D-{int(DROPOUT_PROB*10)}Drop-Upto-15Ahead-Corrs.png\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "for i in range(len(ROI_names)):\n",
    "    plt.figure(figsize=(10, 10))\n",
    "    plt.plot(AVG_TR_ROI_corr_subs[i])\n",
    "    plt.xticks(np.arange(1, 16))\n",
    "    plt.ylabel(\"Correlation\")\n",
    "    plt.xlabel(\"Ahead TRs\")\n",
    "    plt.title(f\"Avg BOLD Corr of {LSTM_LAYERS}L-{HIDDEN_UNITS}H-{DENSE_LAYERS}D-{int(DROPOUT_PROB*10)}Drop Across Test Subs\")\n",
    "    plt.savefig(f\"./Plots/YOUNG/LSTM/AVG-BOLD-TEST-ENLARGED/{ROI_names[i]}/{LSTM_LAYERS}L-{HIDDEN_UNITS}H-{DENSE_LAYERS}D-{int(DROPOUT_PROB*10)}Drop-Upto-15Ahead-Corrs-Avg-Across-Subs.png\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 102,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "f8gPew9YMI2B",
    "outputId": "35e82a11-86f5-47ea-918c-cebfe07c90d6"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "***Model's Final MSE(Train) Loss between 1 ahead predicted and actual average BOLD values for ROIs for the Train Subjects***\n",
      "\n",
      "dlPFC: 0.00205\n",
      "INS: 0.00152\n",
      "VC: 0.0026\n",
      "Cau: 0.00168\n",
      "PCC: 0.00195\n",
      "PCG: 0.00208\n",
      "mCC: 0.00169\n",
      "mOFC: 0.00236\n",
      "Prec: 0.00158\n",
      "mPFC: 0.00179\n",
      "pSTS: 0.00154\n",
      "vlPFC: 0.00162\n",
      "dmPFC: 0.00226\n",
      "Nac: 0.00169\n",
      "IPL: 0.00271\n",
      "ACC: 0.00164\n",
      "lOFC: 0.00222\n",
      "Put: 0.00097\n",
      "AMY: 0.00115\n",
      "TP: 0.00181\n",
      "\n",
      "***Model's Final MSE(Validation) Loss between 1 ahead predicted and actual average BOLD values for ROIs for the Test Subjects***\n",
      "\n",
      "dlPFC: 0.00099\n",
      "INS: 0.0011\n",
      "VC: 0.00364\n",
      "Cau: 0.00357\n",
      "PCC: 0.0017\n",
      "PCG: 0.00291\n",
      "mCC: 0.00125\n",
      "mOFC: 0.00191\n",
      "Prec: 0.00103\n",
      "mPFC: 0.00233\n",
      "pSTS: 0.0009\n",
      "vlPFC: 0.00081\n",
      "dmPFC: 0.00336\n",
      "Nac: 0.00279\n",
      "IPL: 0.00382\n",
      "ACC: 0.00123\n",
      "lOFC: 0.00233\n",
      "Put: 0.00043\n",
      "AMY: 0.0005\n",
      "TP: 0.00191\n",
      "***Model's Final MSE(Train) Loss between 2 ahead predicted and actual average BOLD values for ROIs for the Train Subjects***\n",
      "\n",
      "dlPFC: 0.00213\n",
      "INS: 0.00157\n",
      "VC: 0.00285\n",
      "Cau: 0.00175\n",
      "PCC: 0.00213\n",
      "PCG: 0.00224\n",
      "mCC: 0.00176\n",
      "mOFC: 0.00238\n",
      "Prec: 0.00174\n",
      "mPFC: 0.00187\n",
      "pSTS: 0.00163\n",
      "vlPFC: 0.00166\n",
      "dmPFC: 0.00236\n",
      "Nac: 0.00175\n",
      "IPL: 0.00291\n",
      "ACC: 0.00172\n",
      "lOFC: 0.00232\n",
      "Put: 0.00099\n",
      "AMY: 0.00119\n",
      "TP: 0.00184\n",
      "\n",
      "***Model's Final MSE(Validation) Loss between 2 ahead predicted and actual average BOLD values for ROIs for the Test Subjects***\n",
      "\n",
      "dlPFC: 0.00107\n",
      "INS: 0.00106\n",
      "VC: 0.00359\n",
      "Cau: 0.00355\n",
      "PCC: 0.00154\n",
      "PCG: 0.00268\n",
      "mCC: 0.0011\n",
      "mOFC: 0.00196\n",
      "Prec: 0.00118\n",
      "mPFC: 0.00244\n",
      "pSTS: 0.00088\n",
      "vlPFC: 0.00081\n",
      "dmPFC: 0.00331\n",
      "Nac: 0.00266\n",
      "IPL: 0.00377\n",
      "ACC: 0.00122\n",
      "lOFC: 0.00228\n",
      "Put: 0.00045\n",
      "AMY: 0.00052\n",
      "TP: 0.00175\n",
      "***Model's Final MSE(Train) Loss between 3 ahead predicted and actual average BOLD values for ROIs for the Train Subjects***\n",
      "\n",
      "dlPFC: 0.00223\n",
      "INS: 0.00159\n",
      "VC: 0.00292\n",
      "Cau: 0.00175\n",
      "PCC: 0.00218\n",
      "PCG: 0.00232\n",
      "mCC: 0.00179\n",
      "mOFC: 0.00248\n",
      "Prec: 0.00183\n",
      "mPFC: 0.00197\n",
      "pSTS: 0.00166\n",
      "vlPFC: 0.00171\n",
      "dmPFC: 0.00248\n",
      "Nac: 0.00174\n",
      "IPL: 0.00298\n",
      "ACC: 0.00177\n",
      "lOFC: 0.0023\n",
      "Put: 0.00099\n",
      "AMY: 0.00119\n",
      "TP: 0.00189\n",
      "\n",
      "***Model's Final MSE(Validation) Loss between 3 ahead predicted and actual average BOLD values for ROIs for the Test Subjects***\n",
      "\n",
      "dlPFC: 0.00115\n",
      "INS: 0.00113\n",
      "VC: 0.00359\n",
      "Cau: 0.0036\n",
      "PCC: 0.00164\n",
      "PCG: 0.00269\n",
      "mCC: 0.00111\n",
      "mOFC: 0.00194\n",
      "Prec: 0.0013\n",
      "mPFC: 0.00234\n",
      "pSTS: 0.00085\n",
      "vlPFC: 0.0008\n",
      "dmPFC: 0.0031\n",
      "Nac: 0.00288\n",
      "IPL: 0.00427\n",
      "ACC: 0.0013\n",
      "lOFC: 0.00224\n",
      "Put: 0.00045\n",
      "AMY: 0.00052\n",
      "TP: 0.00199\n",
      "***Model's Final MSE(Train) Loss between 4 ahead predicted and actual average BOLD values for ROIs for the Train Subjects***\n",
      "\n",
      "dlPFC: 0.0023\n",
      "INS: 0.00158\n",
      "VC: 0.00305\n",
      "Cau: 0.00177\n",
      "PCC: 0.00216\n",
      "PCG: 0.00233\n",
      "mCC: 0.0018\n",
      "mOFC: 0.00256\n",
      "Prec: 0.00185\n",
      "mPFC: 0.00196\n",
      "pSTS: 0.00169\n",
      "vlPFC: 0.00171\n",
      "dmPFC: 0.00252\n",
      "Nac: 0.00175\n",
      "IPL: 0.003\n",
      "ACC: 0.00182\n",
      "lOFC: 0.00235\n",
      "Put: 0.001\n",
      "AMY: 0.0012\n",
      "TP: 0.00193\n",
      "\n",
      "***Model's Final MSE(Validation) Loss between 4 ahead predicted and actual average BOLD values for ROIs for the Test Subjects***\n",
      "\n",
      "dlPFC: 0.00104\n",
      "INS: 0.00114\n",
      "VC: 0.00356\n",
      "Cau: 0.004\n",
      "PCC: 0.00175\n",
      "PCG: 0.00276\n",
      "mCC: 0.00121\n",
      "mOFC: 0.00212\n",
      "Prec: 0.00139\n",
      "mPFC: 0.00238\n",
      "pSTS: 0.0009\n",
      "vlPFC: 0.00083\n",
      "dmPFC: 0.00325\n",
      "Nac: 0.0028\n",
      "IPL: 0.00448\n",
      "ACC: 0.00132\n",
      "lOFC: 0.00235\n",
      "Put: 0.00046\n",
      "AMY: 0.00051\n",
      "TP: 0.00195\n",
      "***Model's Final MSE(Train) Loss between 5 ahead predicted and actual average BOLD values for ROIs for the Train Subjects***\n",
      "\n",
      "dlPFC: 0.00239\n",
      "INS: 0.00158\n",
      "VC: 0.00309\n",
      "Cau: 0.00182\n",
      "PCC: 0.00222\n",
      "PCG: 0.00242\n",
      "mCC: 0.0018\n",
      "mOFC: 0.00263\n",
      "Prec: 0.00188\n",
      "mPFC: 0.00202\n",
      "pSTS: 0.00172\n",
      "vlPFC: 0.00173\n",
      "dmPFC: 0.00257\n",
      "Nac: 0.00178\n",
      "IPL: 0.00307\n",
      "ACC: 0.00184\n",
      "lOFC: 0.00244\n",
      "Put: 0.00101\n",
      "AMY: 0.00121\n",
      "TP: 0.00192\n",
      "\n",
      "***Model's Final MSE(Validation) Loss between 5 ahead predicted and actual average BOLD values for ROIs for the Test Subjects***\n",
      "\n",
      "dlPFC: 0.00109\n",
      "INS: 0.0011\n",
      "VC: 0.00358\n",
      "Cau: 0.0036\n",
      "PCC: 0.0017\n",
      "PCG: 0.00278\n",
      "mCC: 0.00125\n",
      "mOFC: 0.00219\n",
      "Prec: 0.00129\n",
      "mPFC: 0.00237\n",
      "pSTS: 0.00081\n",
      "vlPFC: 0.00088\n",
      "dmPFC: 0.00308\n",
      "Nac: 0.00283\n",
      "IPL: 0.00461\n",
      "ACC: 0.00126\n",
      "lOFC: 0.00233\n",
      "Put: 0.00046\n",
      "AMY: 0.00049\n",
      "TP: 0.00204\n",
      "***Model's Final MSE(Train) Loss between 6 ahead predicted and actual average BOLD values for ROIs for the Train Subjects***\n",
      "\n",
      "dlPFC: 0.00238\n",
      "INS: 0.00161\n",
      "VC: 0.00313\n",
      "Cau: 0.00179\n",
      "PCC: 0.00217\n",
      "PCG: 0.00235\n",
      "mCC: 0.0018\n",
      "mOFC: 0.00259\n",
      "Prec: 0.00183\n",
      "mPFC: 0.00193\n",
      "pSTS: 0.00171\n",
      "vlPFC: 0.00172\n",
      "dmPFC: 0.00249\n",
      "Nac: 0.00176\n",
      "IPL: 0.00313\n",
      "ACC: 0.00183\n",
      "lOFC: 0.0024\n",
      "Put: 0.00102\n",
      "AMY: 0.00126\n",
      "TP: 0.00193\n",
      "\n",
      "***Model's Final MSE(Validation) Loss between 6 ahead predicted and actual average BOLD values for ROIs for the Test Subjects***\n",
      "\n",
      "dlPFC: 0.00111\n",
      "INS: 0.00111\n",
      "VC: 0.00323\n",
      "Cau: 0.00352\n",
      "PCC: 0.00168\n",
      "PCG: 0.00289\n",
      "mCC: 0.00121\n",
      "mOFC: 0.00227\n",
      "Prec: 0.0012\n",
      "mPFC: 0.00246\n",
      "pSTS: 0.00088\n",
      "vlPFC: 0.00084\n",
      "dmPFC: 0.00328\n",
      "Nac: 0.00271\n",
      "IPL: 0.00424\n",
      "ACC: 0.00132\n",
      "lOFC: 0.00232\n",
      "Put: 0.00046\n",
      "AMY: 0.00047\n",
      "TP: 0.00224\n",
      "***Model's Final MSE(Train) Loss between 7 ahead predicted and actual average BOLD values for ROIs for the Train Subjects***\n",
      "\n",
      "dlPFC: 0.00243\n",
      "INS: 0.00161\n",
      "VC: 0.00315\n",
      "Cau: 0.00176\n",
      "PCC: 0.0022\n",
      "PCG: 0.00238\n",
      "mCC: 0.00182\n",
      "mOFC: 0.00264\n",
      "Prec: 0.00185\n",
      "mPFC: 0.00196\n",
      "pSTS: 0.00175\n",
      "vlPFC: 0.00172\n",
      "dmPFC: 0.00252\n",
      "Nac: 0.00172\n",
      "IPL: 0.00313\n",
      "ACC: 0.00185\n",
      "lOFC: 0.00245\n",
      "Put: 0.00101\n",
      "AMY: 0.00124\n",
      "TP: 0.00197\n",
      "\n",
      "***Model's Final MSE(Validation) Loss between 7 ahead predicted and actual average BOLD values for ROIs for the Test Subjects***\n",
      "\n",
      "dlPFC: 0.00105\n",
      "INS: 0.0011\n",
      "VC: 0.00346\n",
      "Cau: 0.0035\n",
      "PCC: 0.0017\n",
      "PCG: 0.00292\n",
      "mCC: 0.00124\n",
      "mOFC: 0.00232\n",
      "Prec: 0.0012\n",
      "mPFC: 0.00217\n",
      "pSTS: 0.00088\n",
      "vlPFC: 0.00073\n",
      "dmPFC: 0.00337\n",
      "Nac: 0.00283\n",
      "IPL: 0.00432\n",
      "ACC: 0.00132\n",
      "lOFC: 0.0025\n",
      "Put: 0.00045\n",
      "AMY: 0.00047\n",
      "TP: 0.00208\n",
      "***Model's Final MSE(Train) Loss between 8 ahead predicted and actual average BOLD values for ROIs for the Train Subjects***\n",
      "\n",
      "dlPFC: 0.00249\n",
      "INS: 0.00159\n",
      "VC: 0.00315\n",
      "Cau: 0.00183\n",
      "PCC: 0.00219\n",
      "PCG: 0.00238\n",
      "mCC: 0.00177\n",
      "mOFC: 0.00264\n",
      "Prec: 0.00179\n",
      "mPFC: 0.00198\n",
      "pSTS: 0.00174\n",
      "vlPFC: 0.00169\n",
      "dmPFC: 0.00252\n",
      "Nac: 0.00176\n",
      "IPL: 0.00309\n",
      "ACC: 0.00187\n",
      "lOFC: 0.00245\n",
      "Put: 0.00102\n",
      "AMY: 0.00124\n",
      "TP: 0.00198\n",
      "\n",
      "***Model's Final MSE(Validation) Loss between 8 ahead predicted and actual average BOLD values for ROIs for the Test Subjects***\n",
      "\n",
      "dlPFC: 0.00108\n",
      "INS: 0.00103\n",
      "VC: 0.00321\n",
      "Cau: 0.00316\n",
      "PCC: 0.00174\n",
      "PCG: 0.00302\n",
      "mCC: 0.00123\n",
      "mOFC: 0.00231\n",
      "Prec: 0.0012\n",
      "mPFC: 0.00207\n",
      "pSTS: 0.00092\n",
      "vlPFC: 0.00073\n",
      "dmPFC: 0.00336\n",
      "Nac: 0.00264\n",
      "IPL: 0.00426\n",
      "ACC: 0.00133\n",
      "lOFC: 0.00259\n",
      "Put: 0.00045\n",
      "AMY: 0.00052\n",
      "TP: 0.00212\n",
      "***Model's Final MSE(Train) Loss between 9 ahead predicted and actual average BOLD values for ROIs for the Train Subjects***\n",
      "\n",
      "dlPFC: 0.00258\n",
      "INS: 0.00161\n",
      "VC: 0.00322\n",
      "Cau: 0.00186\n",
      "PCC: 0.00219\n",
      "PCG: 0.00242\n",
      "mCC: 0.0018\n",
      "mOFC: 0.00271\n",
      "Prec: 0.0018\n",
      "mPFC: 0.00199\n",
      "pSTS: 0.00178\n",
      "vlPFC: 0.00176\n",
      "dmPFC: 0.00254\n",
      "Nac: 0.00182\n",
      "IPL: 0.00312\n",
      "ACC: 0.0019\n",
      "lOFC: 0.00252\n",
      "Put: 0.00103\n",
      "AMY: 0.00127\n",
      "TP: 0.00199\n",
      "\n",
      "***Model's Final MSE(Validation) Loss between 9 ahead predicted and actual average BOLD values for ROIs for the Test Subjects***\n",
      "\n",
      "dlPFC: 0.00098\n",
      "INS: 0.00108\n",
      "VC: 0.00343\n",
      "Cau: 0.00315\n",
      "PCC: 0.00169\n",
      "PCG: 0.00277\n",
      "mCC: 0.00125\n",
      "mOFC: 0.00243\n",
      "Prec: 0.00113\n",
      "mPFC: 0.00212\n",
      "pSTS: 0.00094\n",
      "vlPFC: 0.00083\n",
      "dmPFC: 0.00339\n",
      "Nac: 0.00251\n",
      "IPL: 0.00425\n",
      "ACC: 0.00132\n",
      "lOFC: 0.0026\n",
      "Put: 0.00043\n",
      "AMY: 0.00047\n",
      "TP: 0.00203\n",
      "***Model's Final MSE(Train) Loss between 10 ahead predicted and actual average BOLD values for ROIs for the Train Subjects***\n",
      "\n",
      "dlPFC: 0.00262\n",
      "INS: 0.00168\n",
      "VC: 0.00325\n",
      "Cau: 0.00188\n",
      "PCC: 0.00226\n",
      "PCG: 0.00246\n",
      "mCC: 0.0019\n",
      "mOFC: 0.00287\n",
      "Prec: 0.00189\n",
      "mPFC: 0.00208\n",
      "pSTS: 0.00182\n",
      "vlPFC: 0.00183\n",
      "dmPFC: 0.00273\n",
      "Nac: 0.00184\n",
      "IPL: 0.00319\n",
      "ACC: 0.00195\n",
      "lOFC: 0.00262\n",
      "Put: 0.00103\n",
      "AMY: 0.0013\n",
      "TP: 0.00209\n",
      "\n",
      "***Model's Final MSE(Validation) Loss between 10 ahead predicted and actual average BOLD values for ROIs for the Test Subjects***\n",
      "\n",
      "dlPFC: 0.00101\n",
      "INS: 0.00103\n",
      "VC: 0.0032\n",
      "Cau: 0.00282\n",
      "PCC: 0.00156\n",
      "PCG: 0.0026\n",
      "mCC: 0.00115\n",
      "mOFC: 0.00242\n",
      "Prec: 0.00114\n",
      "mPFC: 0.00191\n",
      "pSTS: 0.00087\n",
      "vlPFC: 0.00075\n",
      "dmPFC: 0.00309\n",
      "Nac: 0.00232\n",
      "IPL: 0.00391\n",
      "ACC: 0.00128\n",
      "lOFC: 0.00228\n",
      "Put: 0.00042\n",
      "AMY: 0.00048\n",
      "TP: 0.00184\n",
      "***Model's Final MSE(Train) Loss between 11 ahead predicted and actual average BOLD values for ROIs for the Train Subjects***\n",
      "\n",
      "dlPFC: 0.0026\n",
      "INS: 0.00165\n",
      "VC: 0.00312\n",
      "Cau: 0.00186\n",
      "PCC: 0.00223\n",
      "PCG: 0.00242\n",
      "mCC: 0.00185\n",
      "mOFC: 0.00286\n",
      "Prec: 0.00186\n",
      "mPFC: 0.00202\n",
      "pSTS: 0.00179\n",
      "vlPFC: 0.00179\n",
      "dmPFC: 0.00264\n",
      "Nac: 0.00183\n",
      "IPL: 0.00313\n",
      "ACC: 0.00194\n",
      "lOFC: 0.00253\n",
      "Put: 0.00102\n",
      "AMY: 0.00123\n",
      "TP: 0.00207\n",
      "\n",
      "***Model's Final MSE(Validation) Loss between 11 ahead predicted and actual average BOLD values for ROIs for the Test Subjects***\n",
      "\n",
      "dlPFC: 0.00103\n",
      "INS: 0.00099\n",
      "VC: 0.00292\n",
      "Cau: 0.00306\n",
      "PCC: 0.00154\n",
      "PCG: 0.00234\n",
      "mCC: 0.00105\n",
      "mOFC: 0.0024\n",
      "Prec: 0.00101\n",
      "mPFC: 0.00194\n",
      "pSTS: 0.00084\n",
      "vlPFC: 0.0007\n",
      "dmPFC: 0.00306\n",
      "Nac: 0.00237\n",
      "IPL: 0.00392\n",
      "ACC: 0.00125\n",
      "lOFC: 0.00229\n",
      "Put: 0.00043\n",
      "AMY: 0.00052\n",
      "TP: 0.00175\n",
      "***Model's Final MSE(Train) Loss between 12 ahead predicted and actual average BOLD values for ROIs for the Train Subjects***\n",
      "\n",
      "dlPFC: 0.00263\n",
      "INS: 0.00168\n",
      "VC: 0.00313\n",
      "Cau: 0.0019\n",
      "PCC: 0.00229\n",
      "PCG: 0.00238\n",
      "mCC: 0.00191\n",
      "mOFC: 0.00293\n",
      "Prec: 0.00186\n",
      "mPFC: 0.00209\n",
      "pSTS: 0.00179\n",
      "vlPFC: 0.00182\n",
      "dmPFC: 0.00266\n",
      "Nac: 0.00189\n",
      "IPL: 0.0031\n",
      "ACC: 0.00197\n",
      "lOFC: 0.00262\n",
      "Put: 0.00104\n",
      "AMY: 0.00127\n",
      "TP: 0.00214\n",
      "\n",
      "***Model's Final MSE(Validation) Loss between 12 ahead predicted and actual average BOLD values for ROIs for the Test Subjects***\n",
      "\n",
      "dlPFC: 0.00112\n",
      "INS: 0.0011\n",
      "VC: 0.003\n",
      "Cau: 0.00309\n",
      "PCC: 0.00156\n",
      "PCG: 0.00244\n",
      "mCC: 0.00122\n",
      "mOFC: 0.00252\n",
      "Prec: 0.00107\n",
      "mPFC: 0.00203\n",
      "pSTS: 0.00089\n",
      "vlPFC: 0.0008\n",
      "dmPFC: 0.00337\n",
      "Nac: 0.00248\n",
      "IPL: 0.00401\n",
      "ACC: 0.00137\n",
      "lOFC: 0.00261\n",
      "Put: 0.00047\n",
      "AMY: 0.00053\n",
      "TP: 0.00199\n",
      "***Model's Final MSE(Train) Loss between 13 ahead predicted and actual average BOLD values for ROIs for the Train Subjects***\n",
      "\n",
      "dlPFC: 0.00259\n",
      "INS: 0.00166\n",
      "VC: 0.00312\n",
      "Cau: 0.00182\n",
      "PCC: 0.00226\n",
      "PCG: 0.00239\n",
      "mCC: 0.00182\n",
      "mOFC: 0.00298\n",
      "Prec: 0.00185\n",
      "mPFC: 0.00209\n",
      "pSTS: 0.00181\n",
      "vlPFC: 0.00178\n",
      "dmPFC: 0.00261\n",
      "Nac: 0.00182\n",
      "IPL: 0.00319\n",
      "ACC: 0.00193\n",
      "lOFC: 0.00258\n",
      "Put: 0.00102\n",
      "AMY: 0.00124\n",
      "TP: 0.0021\n",
      "\n",
      "***Model's Final MSE(Validation) Loss between 13 ahead predicted and actual average BOLD values for ROIs for the Test Subjects***\n",
      "\n",
      "dlPFC: 0.00114\n",
      "INS: 0.00116\n",
      "VC: 0.00291\n",
      "Cau: 0.00304\n",
      "PCC: 0.0016\n",
      "PCG: 0.00246\n",
      "mCC: 0.00121\n",
      "mOFC: 0.0025\n",
      "Prec: 0.0011\n",
      "mPFC: 0.00198\n",
      "pSTS: 0.00095\n",
      "vlPFC: 0.00077\n",
      "dmPFC: 0.00324\n",
      "Nac: 0.00267\n",
      "IPL: 0.00363\n",
      "ACC: 0.00152\n",
      "lOFC: 0.0027\n",
      "Put: 0.00046\n",
      "AMY: 0.00059\n",
      "TP: 0.00182\n",
      "***Model's Final MSE(Train) Loss between 14 ahead predicted and actual average BOLD values for ROIs for the Train Subjects***\n",
      "\n",
      "dlPFC: 0.00265\n",
      "INS: 0.00168\n",
      "VC: 0.00317\n",
      "Cau: 0.00189\n",
      "PCC: 0.00234\n",
      "PCG: 0.00239\n",
      "mCC: 0.00192\n",
      "mOFC: 0.00304\n",
      "Prec: 0.00186\n",
      "mPFC: 0.00207\n",
      "pSTS: 0.00182\n",
      "vlPFC: 0.00182\n",
      "dmPFC: 0.00265\n",
      "Nac: 0.00188\n",
      "IPL: 0.00319\n",
      "ACC: 0.00198\n",
      "lOFC: 0.00265\n",
      "Put: 0.00103\n",
      "AMY: 0.00127\n",
      "TP: 0.00216\n",
      "\n",
      "***Model's Final MSE(Validation) Loss between 14 ahead predicted and actual average BOLD values for ROIs for the Test Subjects***\n",
      "\n",
      "dlPFC: 0.00116\n",
      "INS: 0.00109\n",
      "VC: 0.00295\n",
      "Cau: 0.00288\n",
      "PCC: 0.00162\n",
      "PCG: 0.0024\n",
      "mCC: 0.00134\n",
      "mOFC: 0.00263\n",
      "Prec: 0.00106\n",
      "mPFC: 0.00185\n",
      "pSTS: 0.00092\n",
      "vlPFC: 0.00075\n",
      "dmPFC: 0.00321\n",
      "Nac: 0.00241\n",
      "IPL: 0.00374\n",
      "ACC: 0.00146\n",
      "lOFC: 0.00244\n",
      "Put: 0.00045\n",
      "AMY: 0.00058\n",
      "TP: 0.00195\n",
      "***Model's Final MSE(Train) Loss between 15 ahead predicted and actual average BOLD values for ROIs for the Train Subjects***\n",
      "\n",
      "dlPFC: 0.00264\n",
      "INS: 0.00167\n",
      "VC: 0.00312\n",
      "Cau: 0.00187\n",
      "PCC: 0.00232\n",
      "PCG: 0.00238\n",
      "mCC: 0.00187\n",
      "mOFC: 0.00307\n",
      "Prec: 0.00189\n",
      "mPFC: 0.00212\n",
      "pSTS: 0.00181\n",
      "vlPFC: 0.00183\n",
      "dmPFC: 0.00267\n",
      "Nac: 0.00188\n",
      "IPL: 0.00323\n",
      "ACC: 0.00195\n",
      "lOFC: 0.00264\n",
      "Put: 0.00103\n",
      "AMY: 0.00128\n",
      "TP: 0.00215\n",
      "\n",
      "***Model's Final MSE(Validation) Loss between 15 ahead predicted and actual average BOLD values for ROIs for the Test Subjects***\n",
      "\n",
      "dlPFC: 0.0012\n",
      "INS: 0.00112\n",
      "VC: 0.00286\n",
      "Cau: 0.00324\n",
      "PCC: 0.00172\n",
      "PCG: 0.00251\n",
      "mCC: 0.00136\n",
      "mOFC: 0.00268\n",
      "Prec: 0.00112\n",
      "mPFC: 0.00193\n",
      "pSTS: 0.00087\n",
      "vlPFC: 0.00072\n",
      "dmPFC: 0.00325\n",
      "Nac: 0.0026\n",
      "IPL: 0.00366\n",
      "ACC: 0.00142\n",
      "lOFC: 0.00242\n",
      "Put: 0.00047\n",
      "AMY: 0.00055\n",
      "TP: 0.00196\n"
     ]
    }
   ],
   "source": [
    "for LOOK_AHEAD in LOOK_AHEADS:\n",
    "    print(f\"***Model's Final MSE(Train) Loss between {LOOK_AHEAD} ahead predicted and actual average BOLD values for ROIs for the Train Subjects***\")\n",
    "    print()\n",
    "    for i in range(len(ROI_names)):\n",
    "        print(ROI_names[i]+\":\", np.round(histories[LOOK_AHEAD-1][i].history['loss'][-1], 5))\n",
    "    print()\n",
    "    print(f\"***Model's Final MSE(Validation) Loss between {LOOK_AHEAD} ahead predicted and actual average BOLD values for ROIs for the Test Subjects***\")\n",
    "    print()\n",
    "    for i in range(len(ROI_names)):\n",
    "        print(ROI_names[i]+\":\", np.round(histories[LOOK_AHEAD-1][i].history['val_loss'][-1], 5))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 120,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "***Model's Final MSE(Validation) Loss between 1 ahead predicted and actual avg voxel BOLD values for ROIs for the Test Subjects***\n",
      "\n",
      "dlPFC for Each Validation Subject: [1.0584755  0.5694468  1.462727   0.6301395  0.38565704 0.54777944\n",
      " 0.48806486 1.3279246  1.3587765  0.34313932]\n",
      "dlPFC : 0.81721306\n",
      "INS for Each Validation Subject: [0.72528195 0.3515749  0.61163384 0.56636435 1.7652274  1.0888273\n",
      " 2.0304165  0.7674871  1.3084185  0.81470364]\n",
      "INS : 1.0029936\n",
      "VC for Each Validation Subject: [0.71770823 0.3301804  1.1491773  0.39451954 0.34719676 1.1092607\n",
      " 0.5474221  0.81601924 0.8241601  0.8342295 ]\n",
      "VC : 0.7069874\n",
      "Cau for Each Validation Subject: [1.4051586 2.077672  1.7618742 3.4349618 4.0508122 4.4538536 2.264484\n",
      " 7.5210238 1.1385103 2.3105168]\n",
      "Cau : 3.0418866\n",
      "PCC for Each Validation Subject: [0.80196184 0.54721403 0.8462801  0.72360265 1.877292   1.963073\n",
      " 0.93332213 1.3731712  1.2948407  0.5153254 ]\n",
      "PCC : 1.0876083\n",
      "PCG for Each Validation Subject: [0.2933377  0.90092605 1.0234485  0.44239074 0.41371775 0.58157545\n",
      " 0.80682206 0.5143232  0.96177167 0.42100495]\n",
      "PCG : 0.6359318\n",
      "mCC for Each Validation Subject: [0.47537082 0.42162785 0.46594256 0.78427476 2.5586996  0.7221045\n",
      " 0.729244   0.78619593 0.59117496 1.0776765 ]\n",
      "mCC : 0.86123115\n",
      "mOFC for Each Validation Subject: [3.0528965  2.0032666  8.006574   4.661904   3.9805634  1.2653173\n",
      " 5.7440257  0.71596783 1.8672086  1.318382  ]\n",
      "mOFC : 3.2616105\n",
      "Prec for Each Validation Subject: [1.040349   0.67734194 0.9902107  0.8406317  1.8154514  3.0962543\n",
      " 0.9275222  1.1356719  2.0440302  1.0516037 ]\n",
      "Prec : 1.3619068\n",
      "mPFC for Each Validation Subject: [1.404086   0.968654   8.6956835  0.40224785 1.144932   0.93897635\n",
      " 0.53086257 2.206973   2.2927437  1.6476122 ]\n",
      "mPFC : 2.023277\n",
      "pSTS for Each Validation Subject: [0.9793016  0.6801817  0.9834657  1.0942591  1.3109047  0.723823\n",
      " 2.090249   0.46843204 0.8714046  2.4735677 ]\n",
      "pSTS : 1.1675589\n",
      "vlPFC for Each Validation Subject: [0.6907136  0.41971684 0.8210191  0.6267246  0.70208347 0.42448297\n",
      " 0.81166846 0.5746965  0.80999833 0.58261645]\n",
      "vlPFC : 0.646372\n",
      "dmPFC for Each Validation Subject: [1.3415833  2.6387053  2.662732   0.93534404 1.432208   5.70442\n",
      " 1.251564   0.66291094 3.8956103  5.9981837 ]\n",
      "dmPFC : 2.652326\n",
      "Nac for Each Validation Subject: [0.95241034 1.2070934  1.669862   3.0965753  3.5561626  3.7544487\n",
      " 1.8104881  6.1309476  0.93826437 1.5207688 ]\n",
      "Nac : 2.4637022\n",
      "IPL for Each Validation Subject: [ 0.9167559   9.098181    0.86507046  2.397689    1.4202176   0.89796036\n",
      "  0.80922365  6.416334    1.073045   15.775478  ]\n",
      "IPL : 3.9669957\n",
      "ACC for Each Validation Subject: [0.65713245 0.6945608  1.5049068  0.60221916 1.469142   0.9778649\n",
      " 0.70198005 1.0157226  0.99659467 0.4993247 ]\n",
      "ACC : 0.91194487\n",
      "lOFC for Each Validation Subject: [0.6816463  0.79268414 1.3717505  2.1993992  0.5404671  1.7976575\n",
      " 1.1003425  0.44529885 0.92288774 6.8603635 ]\n",
      "lOFC : 1.6712497\n",
      "Put for Each Validation Subject: [0.6625755  0.37947482 0.81543314 0.42548004 2.7958496  0.85030603\n",
      " 0.5784228  1.7802682  0.6004307  0.42094898]\n",
      "Put : 0.930919\n",
      "AMY for Each Validation Subject: [2.0894096  0.97020006 2.1847851  1.304943   1.4060581  1.5998904\n",
      " 1.4041313  1.734406   2.9094913  1.3927528 ]\n",
      "AMY : 1.6996067\n",
      "TP for Each Validation Subject: [1.4421811 1.1392782 0.7614527 1.1076454 1.9223579 2.1665664 2.0007193\n",
      " 5.1766267 1.2653394 2.4424148]\n",
      "TP : 1.9424582\n",
      "***Model's Final MSE(Validation) Loss between 2 ahead predicted and actual avg voxel BOLD values for ROIs for the Test Subjects***\n",
      "\n",
      "dlPFC for Each Validation Subject: [1.1850547 2.2819202 1.043188  0.8437915 0.9395904 1.215735  1.0020839\n",
      " 0.8202063 3.548643  1.1164223]\n",
      "dlPFC : 1.3996636\n",
      "INS for Each Validation Subject: [1.1555183 1.0251842 1.1347609 1.0494775 1.3184946 6.7199616 1.5803915\n",
      " 5.9617934 1.7146056 6.264608 ]\n",
      "INS : 2.7924795\n",
      "VC for Each Validation Subject: [5.240409   0.73246294 1.3297093  1.3500799  1.0096372  1.028674\n",
      " 0.9417105  7.098999   2.8812342  7.0701456 ]\n",
      "VC : 2.868306\n",
      "Cau for Each Validation Subject: [ 5.699625  10.736189   2.3214622 18.486572   3.3318176 20.422842\n",
      "  2.4222155 44.48578    1.6862307 11.538358 ]\n",
      "Cau : 12.11311\n",
      "PCC for Each Validation Subject: [ 1.4110506  2.5663116  1.482871   1.3156887  1.9215796 12.334605\n",
      "  1.531974   7.9623156  1.9789827  1.6475775]\n",
      "PCC : 3.4152954\n",
      "PCG for Each Validation Subject: [2.2508214 6.764745  0.8879662 0.6310828 0.6461294 4.909399  5.127219\n",
      " 0.7511605 5.4746346 3.9950964]\n",
      "PCG : 3.1438255\n",
      "mCC for Each Validation Subject: [1.081758  1.1112466 1.0987121 1.1352327 2.0294287 6.280482  1.205336\n",
      " 6.747337  1.1291538 8.326204 ]\n",
      "mCC : 3.0144892\n",
      "mOFC for Each Validation Subject: [2.1480868 1.7884865 5.569378  2.1993682 2.2974172 1.6352507 2.6605017\n",
      " 7.957017  2.4314055 7.82962  ]\n",
      "mOFC : 3.6516528\n",
      "Prec for Each Validation Subject: [ 1.5907104  2.9323845  1.800004   1.4059063  2.00482   11.8431225\n",
      "  1.4197316  4.337269   2.322415   3.1299639]\n",
      "Prec : 3.2786326\n",
      "mPFC for Each Validation Subject: [11.470218   1.1723207  8.560719   3.1460993 11.686601   3.7942486\n",
      "  3.8260427 22.861675   8.584687  14.958711 ]\n",
      "mPFC : 9.006132\n",
      "pSTS for Each Validation Subject: [ 1.9135344  1.5387477  1.932391   5.196512   2.1254203  2.3908558\n",
      "  1.9912263  2.9432073  1.6741306 12.6977   ]\n",
      "pSTS : 3.4403725\n",
      "vlPFC for Each Validation Subject: [1.414966  1.0230169 1.5399249 1.2481184 1.2255261 3.1893308 1.404598\n",
      " 3.1882741 1.5614827 5.7964945]\n",
      "vlPFC : 2.1591733\n",
      "dmPFC for Each Validation Subject: [ 3.606559    8.5079155   2.2318068   1.7468256   1.4628055  17.55754\n",
      "  2.974312    0.95555514 10.776658   19.011646  ]\n",
      "dmPFC : 6.883162\n",
      "Nac for Each Validation Subject: [ 1.937238   5.1492896  2.1161668 13.919172   2.5393758 13.8646\n",
      "  1.6239735 27.048351   1.4046328  5.8994365]\n",
      "Nac : 7.5502234\n",
      "IPL for Each Validation Subject: [ 1.0236129   7.0148177   1.0203025   1.865459    1.0128369   0.67639637\n",
      "  0.6849046   4.6150947   0.9725846  13.135288  ]\n",
      "IPL : 3.2021294\n",
      "ACC for Each Validation Subject: [1.1649565  4.7056894  1.3976973  0.94861394 1.4791692  7.487441\n",
      " 0.9981352  8.666568   1.3617743  1.3059343 ]\n",
      "ACC : 2.951598\n",
      "lOFC for Each Validation Subject: [ 3.634647   4.770444   1.5526032  1.9287689  3.2508142  1.9104391\n",
      "  1.6815636  3.3139265  2.9355521 20.724531 ]\n",
      "lOFC : 4.5703287\n",
      "Put for Each Validation Subject: [1.0055366  0.65868604 1.0398867  0.7048914  2.335152   1.2476513\n",
      " 0.93632483 8.665995   0.9029047  1.7039158 ]\n",
      "Put : 1.9200945\n",
      "AMY for Each Validation Subject: [2.0657434 1.5647479 2.381385  1.498103  1.5487047 2.231346  1.7355177\n",
      " 7.1162176 3.1651351 2.7221136]\n",
      "AMY : 2.6029015\n",
      "TP for Each Validation Subject: [ 5.3709955  4.566344   2.15748    1.5786016  7.8992157  7.105007\n",
      "  2.2791452 17.598928   1.6286254  9.420279 ]\n",
      "TP : 5.960462\n",
      "***Model's Final MSE(Validation) Loss between 3 ahead predicted and actual avg voxel BOLD values for ROIs for the Test Subjects***\n",
      "\n",
      "dlPFC for Each Validation Subject: [1.2932417 2.520685  1.0821882 0.9247724 1.0283415 1.3608248 1.0874066\n",
      " 0.8182924 3.7779558 1.2995768]\n",
      "dlPFC : 1.5193286\n",
      "INS for Each Validation Subject: [1.2573751 1.2130734 1.2697096 1.1798563 1.3219604 7.318421  1.5923637\n",
      " 6.523493  1.7828935 6.861196 ]\n",
      "INS : 3.0320342\n",
      "VC for Each Validation Subject: [5.258389   0.80025375 1.6366478  1.565222   1.1297463  1.1572797\n",
      " 0.96252835 7.153613   2.9718556  7.1505637 ]\n",
      "VC : 2.97861\n",
      "Cau for Each Validation Subject: [ 6.080643  11.305076   2.3689668 18.480722   3.5246677 20.671312\n",
      "  2.3820405 45.430004   1.9317912 11.576539 ]\n",
      "Cau : 12.375177\n",
      "PCC for Each Validation Subject: [ 1.5757604  2.9184465  1.8587735  1.3726735  1.9136044 13.003124\n",
      "  1.5194958  8.445327   2.0152998  2.0262005]\n",
      "PCC : 3.6648705\n",
      "PCG for Each Validation Subject: [2.3148139  6.7052383  0.8810763  0.5740873  0.5995675  4.9708667\n",
      " 5.195002   0.72793597 5.494017   4.076564  ]\n",
      "PCG : 3.1539168\n",
      "mCC for Each Validation Subject: [1.1140009 1.2005353 1.314336  1.1120001 2.1154425 6.350897  1.2298881\n",
      " 6.6894617 1.2037234 8.186028 ]\n",
      "mCC : 3.0516312\n",
      "mOFC for Each Validation Subject: [2.391476  1.6950667 5.7824254 2.316868  2.5969613 1.6203178 2.692803\n",
      " 7.45921   2.9309053 7.3285055]\n",
      "mOFC : 3.6814542\n",
      "Prec for Each Validation Subject: [ 1.7424513  3.2589655  2.2157147  1.3908648  2.0835948 13.717655\n",
      "  1.215798   4.9621587  2.5020912  3.6105907]\n",
      "Prec : 3.6699886\n",
      "mPFC for Each Validation Subject: [10.908336   1.1128613  8.828545   2.9126492 11.02693    3.5555916\n",
      "  3.4765558 21.947592   8.089626  14.072547 ]\n",
      "mPFC : 8.593123\n",
      "pSTS for Each Validation Subject: [ 1.9819214  1.4958327  2.0493288  5.0111394  2.1944036  2.3060277\n",
      "  1.9850398  2.76054    1.7264563 12.385958 ]\n",
      "pSTS : 3.3896644\n",
      "vlPFC for Each Validation Subject: [1.5052617 1.0756063 1.7111611 1.296483  1.2142464 3.0155919 1.4746242\n",
      " 3.0290298 1.7274444 5.462554 ]\n",
      "vlPFC : 2.1512\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "dmPFC for Each Validation Subject: [ 3.2009485  7.9343762  2.3189337  1.5945418  1.5258034 16.627449\n",
      "  2.6136127  1.0545948 10.079795  17.745274 ]\n",
      "dmPFC : 6.469533\n",
      "Nac for Each Validation Subject: [ 2.7058787  6.295391   2.1561046 15.002633   2.633921  14.995425\n",
      "  1.6543126 29.732164   1.6567706  6.6724644]\n",
      "Nac : 8.350506\n",
      "IPL for Each Validation Subject: [ 1.1598886  8.220553   1.1914076  2.3269124  1.1868124  0.6891171\n",
      "  0.8006353  5.6605554  1.0796063 14.970875 ]\n",
      "IPL : 3.7286363\n",
      "ACC for Each Validation Subject: [1.4887408 5.077248  1.4751312 1.0538471 1.577271  7.699609  1.0059916\n",
      " 9.0461    1.4910206 1.5068041]\n",
      "ACC : 3.1421762\n",
      "lOFC for Each Validation Subject: [ 3.4687045  4.5441713  1.5358273  1.8918264  3.0458505  1.9184848\n",
      "  1.6406311  3.1833985  2.845119  20.601528 ]\n",
      "lOFC : 4.467554\n",
      "Put for Each Validation Subject: [1.0418113  0.66818595 1.1428367  0.704146   2.3927271  1.3142387\n",
      " 0.90331316 8.5830145  0.8948474  1.7296478 ]\n",
      "Put : 1.9374771\n",
      "AMY for Each Validation Subject: [2.136174  1.584614  2.5776184 1.7248307 1.6515746 2.16494   1.5771943\n",
      " 7.6841063 2.9721985 3.0843349]\n",
      "AMY : 2.7157588\n",
      "TP for Each Validation Subject: [ 6.8327637  5.6671147  2.982439   1.6927172  9.139405   8.316456\n",
      "  2.309421  18.84515    2.0088916 10.735138 ]\n",
      "TP : 6.8529496\n",
      "***Model's Final MSE(Validation) Loss between 4 ahead predicted and actual avg voxel BOLD values for ROIs for the Test Subjects***\n",
      "\n",
      "dlPFC for Each Validation Subject: [1.3446827  2.0176568  1.1584696  0.9259452  0.83307993 1.1100458\n",
      " 1.0551995  0.82905054 3.204693   1.0166494 ]\n",
      "dlPFC : 1.3495471\n",
      "INS for Each Validation Subject: [1.3227417 1.4247948 1.4202522 1.2874781 1.2969676 7.30232   1.5705074\n",
      " 6.638874  1.7057697 6.766606 ]\n",
      "INS : 3.0736313\n",
      "VC for Each Validation Subject: [5.2441564 0.8470522 1.9702204 1.7058913 1.1830035 1.3007504 0.9818538\n",
      " 7.1837964 2.9913554 7.1957746]\n",
      "VC : 3.0603855\n",
      "Cau for Each Validation Subject: [ 6.3971014 12.081916   2.3942244 21.171482   3.526401  23.114079\n",
      "  2.3636365 51.083183   1.9602913 12.909969 ]\n",
      "Cau : 13.700228\n",
      "PCC for Each Validation Subject: [ 1.6455648  3.336286   2.2215335  1.4010992  1.8426471 14.086769\n",
      "  1.5493237  8.973545   1.96763    2.354622 ]\n",
      "PCC : 3.937902\n",
      "PCG for Each Validation Subject: [2.5574274  6.9100256  0.8904096  0.56487596 0.59579444 5.133173\n",
      " 5.341036   0.73438555 5.630823   4.193642  ]\n",
      "PCG : 3.2551594\n",
      "mCC for Each Validation Subject: [1.3088536 1.5217323 1.623795  1.2653811 2.0980144 6.863241  1.311658\n",
      " 7.14069   1.4255822 8.763746 ]\n",
      "mCC : 3.3322692\n",
      "mOFC for Each Validation Subject: [2.5354543 1.5240492 6.19137   2.4527283 2.877184  1.593229  2.9608934\n",
      " 8.233821  3.4002166 7.93709  ]\n",
      "mOFC : 3.9706035\n",
      "Prec for Each Validation Subject: [ 1.9783165  3.9100296  2.6817713  1.5325986  2.0978441 14.2005\n",
      "  1.2220712  5.7338233  2.6677985  4.37913  ]\n",
      "Prec : 4.0403886\n",
      "mPFC for Each Validation Subject: [11.16409    1.1508895  8.893312   3.0640376 11.268311   3.6858828\n",
      "  3.7136366 22.657557   8.024983  14.405031 ]\n",
      "mPFC : 8.802773\n",
      "pSTS for Each Validation Subject: [ 2.1344914  1.5663394  2.2843938  5.510502   2.29809    2.573431\n",
      "  2.0441847  3.1890197  1.8947934 12.721735 ]\n",
      "pSTS : 3.621698\n",
      "vlPFC for Each Validation Subject: [1.5899811 1.1292388 1.870393  1.3530252 1.2258128 3.2931733 1.5114173\n",
      " 3.420587  1.797725  5.5532312]\n",
      "vlPFC : 2.2744586\n",
      "dmPFC for Each Validation Subject: [ 3.8630695  8.279941   2.4136405  2.0044775  1.557486  17.126537\n",
      "  3.2323177  1.250582  10.419255  18.182356 ]\n",
      "dmPFC : 6.832966\n",
      "Nac for Each Validation Subject: [ 2.433727   5.886567   2.1049309 14.6906805  2.6184437 14.42228\n",
      "  1.6226901 29.502846   1.7198682  6.35622  ]\n",
      "Nac : 8.135825\n",
      "IPL for Each Validation Subject: [ 1.3429211   8.597886    1.3828138   2.691901    1.536968    0.7031989\n",
      "  0.91007704  6.2939863   1.1175404  15.546613  ]\n",
      "IPL : 4.0123906\n",
      "ACC for Each Validation Subject: [1.5746962 5.0905385 1.4639659 1.0594027 1.5210938 7.8405313 0.9849931\n",
      " 9.251501  1.4990706 1.552674 ]\n",
      "ACC : 3.183847\n",
      "lOFC for Each Validation Subject: [ 3.7614727  4.760503   1.6347058  1.9821613  3.3367043  1.945909\n",
      "  1.7346172  3.577555   3.198825  20.92329  ]\n",
      "lOFC : 4.6855745\n",
      "Put for Each Validation Subject: [1.0432744  0.6961429  1.1607819  0.6882161  2.5039556  1.3129641\n",
      " 0.88906103 9.072357   0.8605408  1.655453  ]\n",
      "Put : 1.9882746\n",
      "AMY for Each Validation Subject: [2.205211  1.4364579 2.547367  1.7672269 1.7002709 2.5573447 1.6779299\n",
      " 7.51417   2.988478  2.8316483]\n",
      "AMY : 2.7226105\n",
      "TP for Each Validation Subject: [ 6.25982    5.078143   2.3627245  1.5808464  8.956646   8.067198\n",
      "  2.3141005 20.603575   1.710446  10.852803 ]\n",
      "TP : 6.7786303\n",
      "***Model's Final MSE(Validation) Loss between 5 ahead predicted and actual avg voxel BOLD values for ROIs for the Test Subjects***\n",
      "\n",
      "dlPFC for Each Validation Subject: [1.3497132  2.2047772  1.2390746  0.93163204 0.8333888  1.183131\n",
      " 0.9467509  0.8666722  3.3419952  1.1166382 ]\n",
      "dlPFC : 1.4013774\n",
      "INS for Each Validation Subject: [1.2710061 1.2170485 1.4566526 1.1991924 1.306332  7.058234  1.5817294\n",
      " 6.6374283 1.6289053 6.5816855]\n",
      "INS : 2.9938216\n",
      "VC for Each Validation Subject: [5.2714357  0.92848223 2.2012937  1.9407613  1.3368489  1.309783\n",
      " 0.93103194 7.1744585  3.0533652  7.1237755 ]\n",
      "VC : 3.1271236\n",
      "Cau for Each Validation Subject: [ 6.392687  11.170129   2.347097  18.902246   3.5789592 20.445312\n",
      "  2.4019613 45.132915   1.9462351 11.635236 ]\n",
      "Cau : 12.395278\n",
      "PCC for Each Validation Subject: [ 1.657819   3.0564082  2.265335   1.2885522  1.8827475 14.1346\n",
      "  1.4404652  9.059062   1.8785437  2.1539054]\n",
      "PCC : 3.8817437\n",
      "PCG for Each Validation Subject: [2.6470656  6.8828616  0.88997716 0.5769898  0.62250364 5.253651\n",
      " 5.2677264  0.7529525  5.6212864  4.193628  ]\n",
      "PCG : 3.270864\n",
      "mCC for Each Validation Subject: [1.3235667 1.5905781 1.7864649 1.2452646 2.1172426 7.314865  1.259151\n",
      " 7.579974  1.409384  9.251686 ]\n",
      "mCC : 3.4878173\n",
      "mOFC for Each Validation Subject: [2.4822059 1.5745581 6.401707  2.6024084 2.9528816 1.677282  2.7266371\n",
      " 8.555148  3.9274433 8.109664 ]\n",
      "mOFC : 4.1009936\n",
      "Prec for Each Validation Subject: [ 1.9881895  3.2916956  2.8165817  1.4257519  2.1997745 13.379607\n",
      "  1.1499225  5.255663   2.8372338  3.7081156]\n",
      "Prec : 3.8052533\n",
      "mPFC for Each Validation Subject: [11.79095    1.032492   8.466681   3.0584307 11.51353    3.5648553\n",
      "  3.6938152 23.28278    8.130578  14.620799 ]\n",
      "mPFC : 8.915491\n",
      "pSTS for Each Validation Subject: [ 1.9822799  1.3394573  2.2325563  4.812695   2.1913424  2.3830335\n",
      "  2.0494094  2.795605   1.5933211 11.201969 ]\n",
      "pSTS : 3.2581673\n",
      "vlPFC for Each Validation Subject: [1.6540776 1.0865973 2.0223823 1.3323442 1.2150133 3.5856628 1.5827415\n",
      " 3.7336466 1.8045429 5.9360166]\n",
      "vlPFC : 2.3953023\n",
      "dmPFC for Each Validation Subject: [ 3.4047053  7.9513483  2.4751048  1.7091454  1.5574446 16.10627\n",
      "  2.9284887  1.173203   9.8498955 17.16742  ]\n",
      "dmPFC : 6.432303\n",
      "Nac for Each Validation Subject: [ 2.793316   6.236741   2.1412604 14.888458   2.5800445 14.454263\n",
      "  1.7313621 29.165173   1.6093627  6.7789083]\n",
      "Nac : 8.237888\n",
      "IPL for Each Validation Subject: [ 1.4909885  8.70876    1.4780612  2.8637626  1.6281623  0.804206\n",
      "  0.9519831  6.5247803  1.1793787 15.961185 ]\n",
      "IPL : 4.159127\n",
      "ACC for Each Validation Subject: [1.4464136  4.614152   1.4537642  1.0139021  1.5750394  7.248879\n",
      " 0.99733055 8.795532   1.3686273  1.361892  ]\n",
      "ACC : 2.9875531\n",
      "lOFC for Each Validation Subject: [ 3.5611858  4.589052   1.5749876  2.0537086  3.2244296  1.8608687\n",
      "  1.6906368  3.4932935  3.2285774 20.984457 ]\n",
      "lOFC : 4.62612\n",
      "Put for Each Validation Subject: [1.1403219  0.66773915 1.1785613  0.7264645  2.5175886  1.3293314\n",
      " 0.9529421  8.868939   0.8791455  1.6815046 ]\n",
      "Put : 1.9942538\n",
      "AMY for Each Validation Subject: [2.5217998 1.3536578 2.540484  1.7621874 1.8396937 2.4475565 1.7587903\n",
      " 6.946231  2.9513054 2.5771794]\n",
      "AMY : 2.6698885\n",
      "TP for Each Validation Subject: [ 6.968377   5.597498   2.7823913  1.8167288  9.587489   8.773812\n",
      "  2.3769815 20.87979    2.0374134 11.419349 ]\n",
      "TP : 7.223983\n",
      "***Model's Final MSE(Validation) Loss between 6 ahead predicted and actual avg voxel BOLD values for ROIs for the Test Subjects***\n",
      "\n",
      "dlPFC for Each Validation Subject: [1.4727483 2.127063  1.3199713 0.9533452 0.8661623 1.1934254 1.0224314\n",
      " 0.8889368 3.1354263 1.1802421]\n",
      "dlPFC : 1.4159752\n",
      "INS for Each Validation Subject: [1.2112899 1.1662698 1.5028164 1.2282424 1.2527133 7.2067375 1.554124\n",
      " 6.7055864 1.5013851 6.606394 ]\n",
      "INS : 2.993556\n",
      "VC for Each Validation Subject: [4.7599077  0.85477847 2.3666916  1.8141397  1.338551   1.3190217\n",
      " 0.9338472  6.3879967  2.818509   6.2510433 ]\n",
      "VC : 2.8844485\n",
      "Cau for Each Validation Subject: [ 5.9907503 10.834708   2.491387  18.229979   3.3926752 20.188667\n",
      "  2.4143438 44.453964   1.815229  11.25571  ]\n",
      "Cau : 12.106741\n",
      "PCC for Each Validation Subject: [ 1.7283595  3.1677866  2.4317057  1.3001136  1.7844143 13.450326\n",
      "  1.5730784  8.753186   1.9645592  2.2968113]\n",
      "PCC : 3.8450336\n",
      "PCG for Each Validation Subject: [2.849042   7.1685266  0.9031365  0.589681   0.61724335 5.4978094\n",
      " 5.524242   0.8206006  5.8429494  4.4085164 ]\n",
      "PCG : 3.422175\n",
      "mCC for Each Validation Subject: [1.1321084 1.6558738 1.8421307 1.0618329 2.0339668 7.3451295 1.1255829\n",
      " 7.4755344 1.435341  8.787383 ]\n",
      "mCC : 3.3894882\n",
      "mOFC for Each Validation Subject: [2.27152   1.8059242 6.325504  2.6576154 3.098127  1.635518  2.6495695\n",
      " 9.328377  4.3666105 8.67493  ]\n",
      "mOFC : 4.2813697\n",
      "Prec for Each Validation Subject: [ 1.9918165  2.8146725  2.9735303  1.4269862  2.230829  12.440684\n",
      "  1.282238   4.8686643  2.9111056  3.168672 ]\n",
      "Prec : 3.61092\n",
      "mPFC for Each Validation Subject: [12.020051   1.0244471  7.981081   3.7376254 11.907502   4.3289614\n",
      "  4.4385757 24.554665   8.520596  15.184781 ]\n",
      "mPFC : 9.369829\n",
      "pSTS for Each Validation Subject: [ 2.11988    1.3849305  2.5878081  5.1968436  2.3114893  2.6467369\n",
      "  2.1267512  3.1498475  1.5782053 12.141404 ]\n",
      "pSTS : 3.5243897\n",
      "vlPFC for Each Validation Subject: [1.591619  0.9386512 2.1302795 1.2008376 1.090285  3.4518168 1.5746166\n",
      " 3.7116737 1.7242465 5.891859 ]\n",
      "vlPFC : 2.3305886\n",
      "dmPFC for Each Validation Subject: [ 3.8155828  8.369316   2.5522838  1.8903434  1.3891339 17.672018\n",
      "  3.2652087  1.0976672 10.651299  18.56949  ]\n",
      "dmPFC : 6.9272337\n",
      "Nac for Each Validation Subject: [ 2.5212913  5.6820154  2.1358361 14.395653   2.472325  13.993903\n",
      "  1.6948278 28.417461   1.6603324  6.340396 ]\n",
      "Nac : 7.931403\n",
      "IPL for Each Validation Subject: [ 1.5672637  7.7088146  1.6638627  2.6421933  1.5787895  0.7784664\n",
      "  1.0005916  6.003168   1.1245177 14.749058 ]\n",
      "IPL : 3.8816726\n",
      "ACC for Each Validation Subject: [1.489664   4.8918915  1.431306   0.94883686 1.542259   7.502996\n",
      " 0.9748162  9.214007   1.356624   1.4463025 ]\n",
      "ACC : 3.0798705\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "lOFC for Each Validation Subject: [ 3.608662   4.5875063  1.5331033  2.0577977  3.2645376  1.8196186\n",
      "  1.5692525  3.5520165  3.3408866 20.867495 ]\n",
      "lOFC : 4.6200876\n",
      "Put for Each Validation Subject: [1.1328089  0.7049701  1.1697384  0.7824327  2.5109415  1.3615775\n",
      " 0.95110595 8.828021   0.8873793  1.5728877 ]\n",
      "Put : 1.9901861\n",
      "AMY for Each Validation Subject: [2.8090887 1.2850028 2.6367748 1.7360954 1.7909201 2.3260422 1.7241899\n",
      " 6.4243097 2.9008663 2.1565735]\n",
      "AMY : 2.5789864\n",
      "TP for Each Validation Subject: [ 7.82837    6.1869926  3.1772332  1.9072932 10.698299   9.643876\n",
      "  2.4510992 22.892002   2.303883  12.497785 ]\n",
      "TP : 7.958684\n",
      "***Model's Final MSE(Validation) Loss between 7 ahead predicted and actual avg voxel BOLD values for ROIs for the Test Subjects***\n",
      "\n",
      "dlPFC for Each Validation Subject: [1.5103582  1.9419043  1.4192678  0.8943842  0.7105079  0.92451555\n",
      " 0.9659432  0.8932162  2.8969889  0.9764709 ]\n",
      "dlPFC : 1.3133557\n",
      "INS for Each Validation Subject: [1.3092332 1.3309672 1.7613009 1.3476548 1.181727  7.0688124 1.5258037\n",
      " 6.680012  1.602169  6.4643407]\n",
      "INS : 3.0272021\n",
      "VC for Each Validation Subject: [5.1820393 0.8288125 2.4588866 1.8619384 1.4188396 1.3013474 0.9108357\n",
      " 7.1219096 2.9474857 6.909161 ]\n",
      "VC : 3.0941255\n",
      "Cau for Each Validation Subject: [ 5.7588105 10.754633   2.6831038 17.964075   3.1926596 20.113033\n",
      "  2.4427924 44.221626   1.9425122 10.935488 ]\n",
      "Cau : 12.000873\n",
      "PCC for Each Validation Subject: [ 1.7046033  3.034416   2.3692672  1.1408987  1.7412691 14.087491\n",
      "  1.5354159  9.154728   1.9047137  2.1520483]\n",
      "PCC : 3.8824852\n",
      "PCG for Each Validation Subject: [2.7704046  7.4132442  0.91864854 0.56089175 0.5633217  5.615985\n",
      " 5.711394   0.8189409  5.9371715  4.5579767 ]\n",
      "PCG : 3.4867978\n",
      "mCC for Each Validation Subject: [0.9853752 1.6331985 1.9265784 1.0607121 2.1475093 7.6112685 1.0234578\n",
      " 7.7154384 1.4110737 8.87452  ]\n",
      "mCC : 3.4389129\n",
      "mOFC for Each Validation Subject: [2.3797116 1.8509603 6.5343785 2.7530837 3.2338755 1.5318813 2.7935023\n",
      " 9.271518  4.7189736 8.435199 ]\n",
      "mOFC : 4.3503084\n",
      "Prec for Each Validation Subject: [ 2.0461855  3.07142    3.0366104  1.4091603  2.355711  11.869552\n",
      "  1.3112909  5.2254343  3.0534956  3.3705297]\n",
      "Prec : 3.674939\n",
      "mPFC for Each Validation Subject: [10.35929    0.972737   8.218057   2.6264434 10.735369   3.2200887\n",
      "  3.1652555 23.132587   7.27182   13.845127 ]\n",
      "mPFC : 8.354678\n",
      "pSTS for Each Validation Subject: [ 2.0917122  1.3520186  2.7932034  5.3820467  2.3095622  2.9817271\n",
      "  2.1824784  3.5200045  1.5926471 11.322058 ]\n",
      "pSTS : 3.5527458\n",
      "vlPFC for Each Validation Subject: [1.4789231  0.8714337  2.1772242  1.1253858  0.94580853 2.7870684\n",
      " 1.4829364  3.2313402  1.6704991  4.8550034 ]\n",
      "vlPFC : 2.0625622\n",
      "dmPFC for Each Validation Subject: [ 3.7694154  8.494425   2.6298752  1.9480755  1.2820126 18.65417\n",
      "  3.280539   1.1451546 10.826562  19.432808 ]\n",
      "dmPFC : 7.1463037\n",
      "Nac for Each Validation Subject: [ 2.4554772  5.8471727  2.3261623 14.897404   2.3505094 14.498319\n",
      "  1.7241211 30.16825    1.6800351  6.3676214]\n",
      "Nac : 8.231507\n",
      "IPL for Each Validation Subject: [ 1.5867498  7.8563423  1.8333462  2.6866574  1.543329   0.7158168\n",
      "  1.009278   6.277813   1.1479204 15.104494 ]\n",
      "IPL : 3.9761748\n",
      "ACC for Each Validation Subject: [1.2991736 4.8742085 1.3709795 0.8721647 1.4574927 7.583326  0.8993175\n",
      " 9.394917  1.460824  1.3964101]\n",
      "ACC : 3.0608811\n",
      "lOFC for Each Validation Subject: [ 4.0690303  5.051542   1.5511096  2.1427662  3.7176511  1.8180342\n",
      "  1.5149623  4.077165   3.796533  22.252655 ]\n",
      "lOFC : 4.9991446\n",
      "Put for Each Validation Subject: [1.0911812  0.6259654  1.1749483  0.6886004  2.5593047  1.2964892\n",
      " 0.9246854  8.655024   0.85723114 1.3527052 ]\n",
      "Put : 1.9226135\n",
      "AMY for Each Validation Subject: [2.8483474 1.3817503 2.6211424 1.4443767 1.7161309 2.3242054 1.665409\n",
      " 6.586988  2.7313387 2.3821118]\n",
      "AMY : 2.57018\n",
      "TP for Each Validation Subject: [ 6.762901   5.275291   2.3549738  1.9053694  9.941537   8.926378\n",
      "  2.432015  23.023777   1.9804666 11.891545 ]\n",
      "TP : 7.4494257\n",
      "***Model's Final MSE(Validation) Loss between 8 ahead predicted and actual avg voxel BOLD values for ROIs for the Test Subjects***\n",
      "\n",
      "dlPFC for Each Validation Subject: [1.5479747  1.9993749  1.5312474  0.9134063  0.7352939  0.909507\n",
      " 0.8715921  0.88435614 3.0126798  0.9887866 ]\n",
      "dlPFC : 1.339422\n",
      "INS for Each Validation Subject: [1.275356  1.140019  1.8195975 1.2577345 1.1164312 6.5831437 1.5158751\n",
      " 6.4094477 1.6109276 6.067905 ]\n",
      "INS : 2.8796437\n",
      "VC for Each Validation Subject: [4.8498626  0.78756565 2.6054792  1.8039554  1.3812319  1.3044031\n",
      " 0.95695645 6.6402435  2.8847156  6.3688564 ]\n",
      "VC : 2.958327\n",
      "Cau for Each Validation Subject: [ 4.298902   9.470422   2.9373653 16.040264   2.9569423 17.761543\n",
      "  2.2989542 41.11337    1.9355623  9.582884 ]\n",
      "Cau : 10.839621\n",
      "PCC for Each Validation Subject: [ 1.7055691  2.981616   2.4998214  1.1375085  1.6759114 14.937579\n",
      "  1.5108162  9.509106   1.8748745  2.150593 ]\n",
      "PCC : 3.9983394\n",
      "PCG for Each Validation Subject: [2.8704243  7.710452   1.0164726  0.5676581  0.56782764 5.8983817\n",
      " 5.9455905  0.8642239  6.2381916  4.82344   ]\n",
      "PCG : 3.6502662\n",
      "mCC for Each Validation Subject: [0.99412113 1.5629747  1.9375942  1.0070142  2.0837913  7.5216236\n",
      " 1.011326   7.7119546  1.3612121  8.989842  ]\n",
      "mCC : 3.4181457\n",
      "mOFC for Each Validation Subject: [2.3199475 1.8303702 6.51553   2.8006647 3.3550549 1.532651  2.5602407\n",
      " 8.927935  5.291847  7.982856 ]\n",
      "mOFC : 4.3117094\n",
      "Prec for Each Validation Subject: [ 2.147202   3.084933   3.1554508  1.4196714  2.4622605 12.04383\n",
      "  1.2801617  5.3064785  3.194019   3.4488919]\n",
      "Prec : 3.7542896\n",
      "mPFC for Each Validation Subject: [ 9.719663   1.0974743  8.32072    2.5780382 10.174681   3.068249\n",
      "  3.0279489 22.578072   6.9257493 13.266683 ]\n",
      "mPFC : 8.075727\n",
      "pSTS for Each Validation Subject: [ 2.0623925  1.3919283  3.0255237  5.487683   2.3099437  3.20616\n",
      "  2.1846855  3.7565143  1.6282485 11.805605 ]\n",
      "pSTS : 3.6858685\n",
      "vlPFC for Each Validation Subject: [1.5311297  0.88621736 2.4009957  1.1680056  0.89838916 2.785882\n",
      " 1.5513163  3.369368   1.7025309  4.8144565 ]\n",
      "vlPFC : 2.110829\n",
      "dmPFC for Each Validation Subject: [ 3.5528953  8.454553   2.767058   1.923437   1.1376002 18.747316\n",
      "  3.0404303  1.1442378 10.912665  19.75678  ]\n",
      "dmPFC : 7.1436973\n",
      "Nac for Each Validation Subject: [ 1.8308169  4.8586574  2.4151785 14.07775    2.1294475 13.531497\n",
      "  1.6071885 29.10826    1.7458682  5.4792   ]\n",
      "Nac : 7.6783857\n",
      "IPL for Each Validation Subject: [ 1.5813414   7.732006    1.9917978   2.6990817   1.5439843   0.82473814\n",
      "  1.0351442   6.4431763   1.1928933  14.785295  ]\n",
      "IPL : 3.9829457\n",
      "ACC for Each Validation Subject: [1.3943964  4.9044375  1.3447326  0.8358532  1.4029437  7.4364142\n",
      " 0.90545547 9.538178   1.5394013  1.4360443 ]\n",
      "ACC : 3.073786\n",
      "lOFC for Each Validation Subject: [ 4.525882   5.218769   1.6218737  2.1991394  4.1312175  1.8835912\n",
      "  1.4606233  4.640502   4.2972913 21.819967 ]\n",
      "lOFC : 5.179886\n",
      "Put for Each Validation Subject: [1.074075   0.57803226 1.3111994  0.73891103 2.5824199  1.3138992\n",
      " 0.8777451  8.56565    0.8309684  1.3142173 ]\n",
      "Put : 1.9187117\n",
      "AMY for Each Validation Subject: [2.738366  1.5753994 2.4498053 1.4561664 1.6919522 2.4438455 1.5765911\n",
      " 8.365526  2.625082  2.576867 ]\n",
      "AMY : 2.7499604\n",
      "TP for Each Validation Subject: [ 7.0440183  5.428945   2.5189545  1.9243977 10.19124    9.082132\n",
      "  2.4925268 23.633423   2.081377  12.109652 ]\n",
      "TP : 7.650666\n",
      "***Model's Final MSE(Validation) Loss between 9 ahead predicted and actual avg voxel BOLD values for ROIs for the Test Subjects***\n",
      "\n",
      "dlPFC for Each Validation Subject: [1.4632037  1.6022787  1.7168003  0.8733922  0.5999205  0.7483651\n",
      " 0.7767474  0.99772054 2.5803533  0.8236873 ]\n",
      "dlPFC : 1.2182469\n",
      "INS for Each Validation Subject: [1.3052834 1.3542628 1.920669  1.3161083 1.0889425 7.076005  1.4885125\n",
      " 6.7918034 1.6836735 6.571088 ]\n",
      "INS : 3.0596347\n",
      "VC for Each Validation Subject: [5.284798  0.8265036 2.7006226 1.972496  1.4842455 1.2851125 1.0722051\n",
      " 7.239482  3.1823142 6.933828 ]\n",
      "VC : 3.1981606\n",
      "Cau for Each Validation Subject: [ 5.110265   9.993202   3.0939372 16.167723   2.6884847 17.7674\n",
      "  2.3370092 38.779293   2.0917556  9.793189 ]\n",
      "Cau : 10.782227\n",
      "PCC for Each Validation Subject: [ 1.6114628  3.0385103  2.5690267  1.1649193  1.6749984 14.612751\n",
      "  1.3526142  9.140867   1.7475119  2.268984 ]\n",
      "PCC : 3.9181647\n",
      "PCG for Each Validation Subject: [2.5849175  7.024802   1.1495303  0.5675107  0.5542628  5.434892\n",
      " 5.416115   0.87696385 5.7468805  4.467143  ]\n",
      "PCG : 3.3823018\n",
      "mCC for Each Validation Subject: [0.9888072  1.7035923  2.014987   1.1293088  2.063716   7.9096737\n",
      " 0.93800706 7.7923017  1.4171277  9.158146  ]\n",
      "mCC : 3.5115666\n",
      "mOFC for Each Validation Subject: [2.3596098 1.97189   6.6909513 2.9595718 3.4836345 1.5319252 2.6411567\n",
      " 9.730127  5.829929  8.577272 ]\n",
      "mOFC : 4.577607\n",
      "Prec for Each Validation Subject: [ 2.243671   2.7444777  3.1476123  1.5224489  2.571911  11.23253\n",
      "  1.3300517  4.791899   3.254533   3.1662245]\n",
      "Prec : 3.6005359\n",
      "mPFC for Each Validation Subject: [10.133242   1.0324173  8.300628   2.7396843 10.562443   3.205201\n",
      "  3.158035  23.010813   7.1694093 13.402226 ]\n",
      "mPFC : 8.27141\n",
      "pSTS for Each Validation Subject: [ 2.1737607  1.6425856  3.3043072  5.579575   2.3754396  3.4061263\n",
      "  2.1964717  3.8733013  1.7851346 11.791326 ]\n",
      "pSTS : 3.8128028\n",
      "vlPFC for Each Validation Subject: [1.6548959  0.94221306 2.6424613  1.2836765  0.9674022  3.3956208\n",
      " 1.6862203  3.8502388  1.8174888  5.784207  ]\n",
      "vlPFC : 2.4024425\n",
      "dmPFC for Each Validation Subject: [ 3.7104967  8.607361   2.938047   2.0391707  1.119479  18.852726\n",
      "  3.1189623  1.2009727 10.965119  19.52938  ]\n",
      "dmPFC : 7.208171\n",
      "Nac for Each Validation Subject: [ 2.065524   4.793621   2.5526624 13.333103   1.8360342 12.852356\n",
      "  1.5950108 26.450722   1.8068385  5.341655 ]\n",
      "Nac : 7.2627525\n",
      "IPL for Each Validation Subject: [ 1.54707    7.874555   2.1253595  2.7401009  1.4976678  0.8645284\n",
      "  1.1243309  6.3965583  1.2322063 14.747201 ]\n",
      "IPL : 4.014958\n",
      "ACC for Each Validation Subject: [1.2749399  4.714447   1.4630327  0.9198237  1.36213    7.39584\n",
      " 0.92796546 9.402116   1.5798252  1.2910224 ]\n",
      "ACC : 3.0331142\n",
      "lOFC for Each Validation Subject: [ 4.38722    5.240239   1.642904   2.18023    3.9565485  1.9000561\n",
      "  1.5131975  4.4493756  4.0844793 22.47605  ]\n",
      "lOFC : 5.18303\n",
      "Put for Each Validation Subject: [0.9920619 0.5282208 1.3543718 0.7405742 2.5150669 1.342048  0.796214\n",
      " 8.297397  0.8335348 1.2605236]\n",
      "Put : 1.8660011\n",
      "AMY for Each Validation Subject: [2.610331  1.490892  2.575184  1.5596972 1.6861217 2.383741  1.6493115\n",
      " 6.74115   2.629962  2.0951443]\n",
      "AMY : 2.5421534\n",
      "TP for Each Validation Subject: [ 7.187074   5.4663153  2.8183656  1.979955   9.766337   8.708753\n",
      "  2.5925887 21.405588   2.359191  11.447882 ]\n",
      "TP : 7.3732047\n",
      "***Model's Final MSE(Validation) Loss between 10 ahead predicted and actual avg voxel BOLD values for ROIs for the Test Subjects***\n",
      "\n",
      "dlPFC for Each Validation Subject: [1.421434   1.4549828  1.8967588  0.9485437  0.649615   0.78075063\n",
      " 0.9872553  1.073139   2.487479   0.8567977 ]\n",
      "dlPFC : 1.2556756\n",
      "INS for Each Validation Subject: [1.3589535 1.1835883 2.0122454 1.3386204 1.1041492 6.487134  1.6303022\n",
      " 6.179976  1.6605617 6.00492  ]\n",
      "INS : 2.8960452\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "VC for Each Validation Subject: [5.0935316 0.7945838 2.8694246 1.8905807 1.412001  1.3268487 1.1482817\n",
      " 6.7300076 3.1193748 6.4794106]\n",
      "VC : 3.0864043\n",
      "Cau for Each Validation Subject: [ 4.496327   8.805845   3.1549788 13.894393   2.6266665 15.443873\n",
      "  2.4378505 34.595787   2.1681178  8.255533 ]\n",
      "Cau : 9.587937\n",
      "PCC for Each Validation Subject: [ 1.6815891  2.6036408  2.406384   1.299458   1.7570676 13.1824465\n",
      "  1.4474841  8.228247   1.683203   1.9140495]\n",
      "PCC : 3.620357\n",
      "PCG for Each Validation Subject: [2.3237386  6.527657   1.3336606  0.6464301  0.60233414 5.0997458\n",
      " 5.028809   0.96767455 5.402792   4.1835732 ]\n",
      "PCG : 3.2116413\n",
      "mCC for Each Validation Subject: [1.0833324 1.3546891 1.7231787 1.169194  2.1417224 7.177197  1.0579689\n",
      " 7.0753827 1.168119  8.331222 ]\n",
      "mCC : 3.2282004\n",
      "mOFC for Each Validation Subject: [2.3762906 1.9897168 7.6938367 3.396123  3.7955    1.2858481 2.9847023\n",
      " 8.301787  6.403192  7.2733226]\n",
      "mOFC : 4.550032\n",
      "Prec for Each Validation Subject: [ 2.2415395  2.8165426  3.0831838  1.533902   2.6218786 11.522284\n",
      "  1.3527409  4.6902475  3.2391274  3.2134955]\n",
      "Prec : 3.6314945\n",
      "mPFC for Each Validation Subject: [ 8.986106   1.0865754  9.494436   2.29002    9.12876    2.8170528\n",
      "  2.630364  20.080002   6.336897  11.692799 ]\n",
      "mPFC : 7.4543014\n",
      "pSTS for Each Validation Subject: [ 2.1628878  1.6937058  3.4359477  5.029233   2.2902434  3.0301166\n",
      "  2.2888024  3.3547792  1.8363435 10.556906 ]\n",
      "pSTS : 3.5678964\n",
      "vlPFC for Each Validation Subject: [1.6823372 0.9943201 2.7887018 1.3681234 0.9275161 2.7627773 1.74383\n",
      " 3.169771  1.8772794 4.8692904]\n",
      "vlPFC : 2.2183945\n",
      "dmPFC for Each Validation Subject: [ 3.5525038  7.869613   3.464507   1.8818567  1.1401335 16.874119\n",
      "  2.94996    1.2265906  9.753576  17.37173  ]\n",
      "dmPFC : 6.6084595\n",
      "Nac for Each Validation Subject: [ 1.9508032  4.5741525  2.6894429 11.942295   1.8324888 11.499892\n",
      "  1.7077281 23.663229   1.9260042  4.873551 ]\n",
      "Nac : 6.6659584\n",
      "IPL for Each Validation Subject: [ 1.5161426   6.9274063   2.2576065   2.6317925   1.3904793   0.84455025\n",
      "  1.1623464   5.689069    1.1818372  13.890436  ]\n",
      "IPL : 3.749167\n",
      "ACC for Each Validation Subject: [1.1348288  4.373531   1.5571762  0.88395065 1.3617182  7.1201367\n",
      " 0.89409715 8.944363   1.5800401  1.139341  ]\n",
      "ACC : 2.8989184\n",
      "lOFC for Each Validation Subject: [ 3.5928996  4.1772594  1.7122248  2.3570852  3.1636894  1.9532075\n",
      "  1.5618181  3.6862464  3.6952279 19.48835  ]\n",
      "lOFC : 4.5388007\n",
      "Put for Each Validation Subject: [0.99454194 0.5127629  1.4112937  0.71125764 2.5122206  1.3672786\n",
      " 0.7833918  8.330402   0.78629357 1.2502719 ]\n",
      "Put : 1.8659716\n",
      "AMY for Each Validation Subject: [2.5480533 1.3420346 2.9273071 1.5453968 1.6896162 2.1244915 1.453607\n",
      " 7.177763  2.7670565 2.298982 ]\n",
      "AMY : 2.5874307\n",
      "TP for Each Validation Subject: [ 6.289009   4.4912796  2.1498692  2.094735   8.797641   7.8139443\n",
      "  2.691805  20.142918   2.0410573 10.361067 ]\n",
      "TP : 6.687332\n",
      "***Model's Final MSE(Validation) Loss between 11 ahead predicted and actual avg voxel BOLD values for ROIs for the Test Subjects***\n",
      "\n",
      "dlPFC for Each Validation Subject: [1.3952309  1.6305331  1.9972976  0.9828925  0.5978961  0.8161369\n",
      " 0.9633328  1.0347834  2.676091   0.86171937]\n",
      "dlPFC : 1.2955914\n",
      "INS for Each Validation Subject: [1.3277278 1.1716367 2.099836  1.4083897 1.0711787 6.121965  1.6824286\n",
      " 5.8606915 1.6374632 5.586934 ]\n",
      "INS : 2.796825\n",
      "VC for Each Validation Subject: [4.774303  0.8799521 3.0077398 1.8797098 1.3891165 1.3395687 1.1884294\n",
      " 5.8499537 3.0728307 5.6741147]\n",
      "VC : 2.9055717\n",
      "Cau for Each Validation Subject: [ 5.4909177 10.106091   3.0547557 15.319817   2.5408094 17.24213\n",
      "  2.491093  37.345074   2.1656454  9.036188 ]\n",
      "Cau : 10.479251\n",
      "PCC for Each Validation Subject: [ 1.7084093  2.6298327  2.6042497  1.4632728  1.6819844 12.563135\n",
      "  1.6455383  8.026157   1.7195009  1.8458626]\n",
      "PCC : 3.5887942\n",
      "PCG for Each Validation Subject: [2.2790854  5.7155037  1.4790324  0.64657176 0.58022726 4.540801\n",
      " 4.4641685  0.9707304  4.894134   3.7354436 ]\n",
      "PCG : 2.93057\n",
      "mCC for Each Validation Subject: [1.0373088 1.2729192 1.6371443 1.177493  1.9946793 6.632866  1.0747374\n",
      " 6.3555593 1.1641368 7.3783317]\n",
      "mCC : 2.9725175\n",
      "mOFC for Each Validation Subject: [2.1782174 1.99308   7.0982337 3.2835708 3.870861  1.2206075 2.6561112\n",
      " 8.3284    7.0451674 7.1755123]\n",
      "mOFC : 4.4849763\n",
      "Prec for Each Validation Subject: [2.2710114 2.3382685 3.1811476 1.6085823 2.591603  8.919566  1.4994951\n",
      " 4.1090226 3.2187836 2.808139 ]\n",
      "Prec : 3.254562\n",
      "mPFC for Each Validation Subject: [ 9.492166   1.0750837  8.921077   2.4337552  9.469307   2.9967856\n",
      "  2.9025908 20.260204   6.67368   11.67312  ]\n",
      "mPFC : 7.5897775\n",
      "pSTS for Each Validation Subject: [ 2.1431627  1.7207868  3.5909016  4.8587766  2.1364183  3.127922\n",
      "  2.2830606  3.3029985  1.8098141 10.047904 ]\n",
      "pSTS : 3.5021749\n",
      "vlPFC for Each Validation Subject: [1.6801182 1.0165108 2.9441113 1.393186  0.9035095 2.468021  1.7343291\n",
      " 2.8928208 1.9364518 4.2572603]\n",
      "vlPFC : 2.1226318\n",
      "dmPFC for Each Validation Subject: [ 3.729021   7.97319    3.6182241  1.9775246  1.0494589 16.464375\n",
      "  3.178402   1.2369635  9.864466  16.945852 ]\n",
      "dmPFC : 6.6037474\n",
      "Nac for Each Validation Subject: [ 2.1515794  4.932317   2.8463802 12.328432   1.7791556 12.117954\n",
      "  1.7274135 23.642096   1.9907607  4.9261775]\n",
      "Nac : 6.844226\n",
      "IPL for Each Validation Subject: [ 1.5086689  7.200962   2.4486845  2.7474637  1.4297312  0.9156621\n",
      "  1.2174126  6.0601287  1.1970628 13.326701 ]\n",
      "IPL : 3.8052478\n",
      "ACC for Each Validation Subject: [1.2659062  4.10191    1.6699175  0.8639558  1.3473482  6.516296\n",
      " 0.98199517 8.312622   1.6165614  1.2108523 ]\n",
      "ACC : 2.7887366\n",
      "lOFC for Each Validation Subject: [ 3.7291822  4.3580165  1.7563884  2.2961996  3.2655232  1.8992023\n",
      "  1.6330233  3.883842   3.9125075 19.217712 ]\n",
      "lOFC : 4.59516\n",
      "Put for Each Validation Subject: [1.0744395  0.5873623  1.4914421  0.71899337 2.3631282  1.3356811\n",
      " 0.8293055  7.957156   0.84133005 1.3559242 ]\n",
      "Put : 1.8554764\n",
      "AMY for Each Validation Subject: [2.524369  1.5880076 2.9329333 1.6115277 1.5140693 2.545716  1.6441473\n",
      " 8.572836  2.768078  2.8349564]\n",
      "AMY : 2.853664\n",
      "TP for Each Validation Subject: [ 6.1814933  4.334693   2.1082702  2.2145877  8.567485   7.484564\n",
      "  2.6289608 18.98336    2.2706387  9.978698 ]\n",
      "TP : 6.4752746\n",
      "***Model's Final MSE(Validation) Loss between 12 ahead predicted and actual avg voxel BOLD values for ROIs for the Test Subjects***\n",
      "\n",
      "dlPFC for Each Validation Subject: [1.46818    1.9588785  2.1254501  1.0778087  0.7577327  0.97580713\n",
      " 0.9026423  1.0300767  3.126311   1.0085018 ]\n",
      "dlPFC : 1.443139\n",
      "INS for Each Validation Subject: [1.4352671 1.4507045 2.1974204 1.4891202 1.0519193 7.0683594 1.6508691\n",
      " 6.787279  1.7132641 6.4860497]\n",
      "INS : 3.1330252\n",
      "VC for Each Validation Subject: [4.78187    0.93665016 3.169646   1.8427565  1.3418798  1.4175463\n",
      " 1.1438895  5.895159   3.0301073  5.6828175 ]\n",
      "VC : 2.924232\n",
      "Cau for Each Validation Subject: [ 6.0557942 10.754003   3.1592104 15.750306   2.4239402 17.615116\n",
      "  2.5968096 37.384357   2.1864364  9.202825 ]\n",
      "Cau : 10.712881\n",
      "PCC for Each Validation Subject: [ 1.6464195  2.8445115  2.390906   1.4840621  1.6954893 12.656679\n",
      "  1.6050653  8.049329   1.7323881  2.013158 ]\n",
      "PCC : 3.6118004\n",
      "PCG for Each Validation Subject: [2.3511362  6.1254764  1.6128047  0.6517829  0.5600143  4.7244825\n",
      " 4.7854853  0.94157135 5.240871   3.887875  ]\n",
      "PCG : 3.0881498\n",
      "mCC for Each Validation Subject: [0.96880156 1.597526   1.8534253  1.3026091  2.0111666  7.864327\n",
      " 1.0603946  7.5710063  1.4016905  8.724919  ]\n",
      "mCC : 3.4355865\n",
      "mOFC for Each Validation Subject: [2.300144  2.0686126 7.9274898 3.7109466 4.069983  1.3773963 2.67531\n",
      " 8.563878  7.7531295 7.2095823]\n",
      "mOFC : 4.765647\n",
      "Prec for Each Validation Subject: [ 2.2265055  2.3607826  3.1297894  1.6342533  2.480625  10.198661\n",
      "  1.5856632  4.342526   3.2715824  2.8049505]\n",
      "Prec : 3.4035335\n",
      "mPFC for Each Validation Subject: [ 9.737119   1.1257428 10.629234   2.2676258  9.917521   2.7563584\n",
      "  2.8146503 21.168375   6.5950313 12.40179  ]\n",
      "mPFC : 7.9413443\n",
      "pSTS for Each Validation Subject: [ 2.1855514  1.7350602  3.8089004  5.6046114  2.1763415  3.4231434\n",
      "  2.32973    3.7701502  1.8020897 10.691194 ]\n",
      "pSTS : 3.7526772\n",
      "vlPFC for Each Validation Subject: [1.6703633  0.94002867 3.0587714  1.4135382  0.93376774 3.4702668\n",
      " 1.768908   3.8489418  2.0323782  5.451442  ]\n",
      "vlPFC : 2.4588408\n",
      "dmPFC for Each Validation Subject: [ 4.0023756  9.162316   3.8475196  2.27478    1.0680983 18.549692\n",
      "  3.4582922  1.2937417 11.296056  19.200666 ]\n",
      "dmPFC : 7.4153533\n",
      "Nac for Each Validation Subject: [ 2.4533672  5.4398303  2.9276998 12.97698    1.8285102 12.6397915\n",
      "  1.7069046 24.650846   2.1024733  5.208596 ]\n",
      "Nac : 7.1934996\n",
      "IPL for Each Validation Subject: [ 1.61752    7.28145    2.5922375  2.8930657  1.5782444  1.0155069\n",
      "  1.2437965  6.134507   1.2004228 13.881008 ]\n",
      "IPL : 3.943776\n",
      "ACC for Each Validation Subject: [1.3042908  4.836349   1.8966392  0.94332767 1.332469   7.315215\n",
      " 0.98891073 9.294683   1.687554   1.5233171 ]\n",
      "ACC : 3.1122756\n",
      "lOFC for Each Validation Subject: [ 4.5129457  5.2459345  1.8803556  2.3636696  3.9796412  1.9681137\n",
      "  1.6329556  4.771317   4.693227  21.982292 ]\n",
      "lOFC : 5.3030453\n",
      "Put for Each Validation Subject: [1.0902023  0.76451033 1.5235713  0.65495336 2.312669   1.2856282\n",
      " 0.8151125  9.324108   0.8581222  1.8956723 ]\n",
      "Put : 2.052455\n",
      "AMY for Each Validation Subject: [2.8120131 1.500037  3.1613019 1.8874227 1.4995759 2.6661398 1.8866956\n",
      " 8.673761  2.9192379 2.8663318]\n",
      "AMY : 2.9872518\n",
      "TP for Each Validation Subject: [ 7.526239   5.3736014  2.653444   2.2815366 10.1645775  8.843932\n",
      "  2.669616  21.114918   2.6022656 11.521017 ]\n",
      "TP : 7.4751143\n",
      "***Model's Final MSE(Validation) Loss between 13 ahead predicted and actual avg voxel BOLD values for ROIs for the Test Subjects***\n",
      "\n",
      "dlPFC for Each Validation Subject: [1.5273532 1.9640669 2.1900716 1.1200529 0.7769037 1.0039111 0.8638278\n",
      " 1.0336303 3.1561072 1.0778973]\n",
      "dlPFC : 1.4713821\n",
      "INS for Each Validation Subject: [1.4039187 1.6375103 2.1630092 1.4459391 1.049929  7.4881988 1.5720056\n",
      " 7.2140574 1.7366171 6.855093 ]\n",
      "INS : 3.2566276\n",
      "VC for Each Validation Subject: [4.560905   0.94198436 3.2462165  1.7779757  1.309114   1.4148508\n",
      " 1.0659782  5.6602473  2.8258297  5.4320617 ]\n",
      "VC : 2.8235164\n",
      "Cau for Each Validation Subject: [ 5.6047325 10.520528   3.128451  16.082355   2.337959  18.080875\n",
      "  2.4375024 37.77252    2.1782389  8.953499 ]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Cau : 10.709665\n",
      "PCC for Each Validation Subject: [ 1.5869341  2.8531818  2.4263272  1.544426   1.6753665 13.366394\n",
      "  1.5897009  8.197614   1.8065943  2.0773997]\n",
      "PCC : 3.712394\n",
      "PCG for Each Validation Subject: [2.1085649  6.261053   1.675524   0.6832646  0.5536905  4.75274\n",
      " 4.9601717  0.96743596 5.3577857  3.8362393 ]\n",
      "PCG : 3.1156468\n",
      "mCC for Each Validation Subject: [0.9259418  1.616243   1.8438528  1.3141211  1.8627295  7.9846735\n",
      " 0.99973965 7.6094785  1.411877   8.947158  ]\n",
      "mCC : 3.4515815\n",
      "mOFC for Each Validation Subject: [2.199339  2.0417752 8.062177  3.8029945 4.000811  1.1473274 2.7184336\n",
      " 8.00863   8.374727  6.6657205]\n",
      "mOFC : 4.7021937\n",
      "Prec for Each Validation Subject: [ 2.0797715  2.6103108  3.1019704  1.4989722  2.2328453 10.289541\n",
      "  1.451253   4.786187   3.268977   2.9984887]\n",
      "Prec : 3.4318318\n",
      "mPFC for Each Validation Subject: [ 9.257294   1.1180567 10.058168   2.3434126  9.432208   2.7288322\n",
      "  2.842282  20.798096   6.5260983 11.720062 ]\n",
      "mPFC : 7.682451\n",
      "pSTS for Each Validation Subject: [ 2.240258   1.7462618  3.8870375  6.149974   2.1249728  3.8895988\n",
      "  2.310424   4.3755155  1.8356673 11.794911 ]\n",
      "pSTS : 4.0354624\n",
      "vlPFC for Each Validation Subject: [1.6583209  0.9386089  3.13496    1.406223   0.88982695 3.3123322\n",
      " 1.8058982  3.796838   2.1283906  5.2279177 ]\n",
      "vlPFC : 2.4299316\n",
      "dmPFC for Each Validation Subject: [ 3.6630237  8.728594   4.133821   2.0992072  1.012742  17.780132\n",
      "  3.2082868  1.2473724 10.778167  18.23236  ]\n",
      "dmPFC : 7.0883703\n",
      "Nac for Each Validation Subject: [ 2.5360732  5.6932697  3.0351593 14.728854   1.6752872 14.247079\n",
      "  1.6826696 28.336655   2.2335136  5.53921  ]\n",
      "Nac : 7.970777\n",
      "IPL for Each Validation Subject: [ 1.632927   6.4490967  2.6534731  2.5969117  1.4188248  1.0387313\n",
      "  1.2329934  5.6282167  1.2060572 12.333751 ]\n",
      "IPL : 3.6190982\n",
      "ACC for Each Validation Subject: [ 1.6779487  5.5681405  1.8513029  0.9702686  1.2320267  8.243393\n",
      "  0.9612479 10.347728   1.7787056  1.9432085]\n",
      "ACC : 3.4573967\n",
      "lOFC for Each Validation Subject: [ 4.703878   5.6466274  1.973783   2.4537277  4.167724   1.9496089\n",
      "  1.6335937  4.937242   4.876896  22.952105 ]\n",
      "lOFC : 5.529519\n",
      "Put for Each Validation Subject: [1.0306675  0.653967   1.5220809  0.6556173  2.288969   1.3365675\n",
      " 0.79766256 9.459503   0.88507307 1.6465476 ]\n",
      "Put : 2.0276656\n",
      "AMY for Each Validation Subject: [ 2.8689728  1.7658061  3.2357013  2.1166184  1.5907336  2.7606142\n",
      "  1.9274025 10.383793   2.9719143  3.8060346]\n",
      "AMY : 3.3427594\n",
      "TP for Each Validation Subject: [ 6.7697353  4.7660246  2.2338178  2.3520527  9.402188   8.153714\n",
      "  2.6386917 20.364359   2.4982    10.718283 ]\n",
      "TP : 6.9897065\n",
      "***Model's Final MSE(Validation) Loss between 14 ahead predicted and actual avg voxel BOLD values for ROIs for the Test Subjects***\n",
      "\n",
      "dlPFC for Each Validation Subject: [1.4870496 2.089054  2.2294643 1.0569868 0.7710784 1.0157498 0.8756529\n",
      " 1.0854826 3.2170284 1.1164789]\n",
      "dlPFC : 1.4944026\n",
      "INS for Each Validation Subject: [1.36469   1.5570211 2.0782654 1.2845509 1.0060176 7.0630217 1.5793812\n",
      " 6.742108  1.6966692 6.3873763]\n",
      "INS : 3.07591\n",
      "VC for Each Validation Subject: [4.681633   0.91311836 3.3504505  1.7607777  1.267216   1.5081568\n",
      " 1.0852922  5.7939873  2.8022707  5.57984   ]\n",
      "VC : 2.8742743\n",
      "Cau for Each Validation Subject: [ 5.350559  10.26146    3.2230623 14.705956   2.3312287 16.080847\n",
      "  2.3513439 35.771816   2.259201   8.367724 ]\n",
      "Cau : 10.07032\n",
      "PCC for Each Validation Subject: [ 1.590687   3.008955   2.5083082  1.6165515  1.6165203 13.366378\n",
      "  1.6665442  8.59372    1.9839813  2.1646972]\n",
      "PCC : 3.811634\n",
      "PCG for Each Validation Subject: [2.1210694  6.0660467  1.7633001  0.65909404 0.49795282 4.544473\n",
      " 4.7488728  0.95411247 5.169506   3.7015975 ]\n",
      "PCG : 3.0226026\n",
      "mCC for Each Validation Subject: [0.9653793  2.0427818  2.251319   1.3142835  1.7609442  9.057072\n",
      " 0.97441876 8.534257   1.6995684  9.653773  ]\n",
      "mCC : 3.8253796\n",
      "mOFC for Each Validation Subject: [2.256235  2.0723157 8.027883  3.8484669 4.1433887 1.2231305 2.7975357\n",
      " 8.874131  9.248976  7.208856 ]\n",
      "mOFC : 4.9700913\n",
      "Prec for Each Validation Subject: [1.892762  2.4560971 3.0245187 1.3966228 2.0657587 9.798742  1.3468343\n",
      " 4.502009  3.2727253 2.8066628]\n",
      "Prec : 3.2562733\n",
      "mPFC for Each Validation Subject: [ 8.626545   1.0107745 10.560992   2.007744   8.8140745  2.238661\n",
      "  2.3133383 20.14498    5.8291025 11.001919 ]\n",
      "mPFC : 7.2548127\n",
      "pSTS for Each Validation Subject: [ 2.151695   1.599639   3.9130538  6.078571   2.0274003  3.5877008\n",
      "  2.239139   4.1428347  1.7345849 11.704741 ]\n",
      "pSTS : 3.9179358\n",
      "vlPFC for Each Validation Subject: [1.65836    0.99876446 3.132722   1.4286002  0.8758156  3.0813951\n",
      " 1.8153902  3.6381361  2.21216    5.0993776 ]\n",
      "vlPFC : 2.3940723\n",
      "dmPFC for Each Validation Subject: [ 3.5429184  8.685394   4.3510957  1.9197133  1.0059886 17.80442\n",
      "  3.0347164  1.3041868 10.802732  18.372267 ]\n",
      "dmPFC : 7.082344\n",
      "Nac for Each Validation Subject: [ 2.2838247  5.286306   3.043283  12.871184   1.695347  12.309628\n",
      "  1.6634114 24.978823   2.3952992  4.8747864]\n",
      "Nac : 7.140189\n",
      "IPL for Each Validation Subject: [ 1.6384019  6.586197   2.6482747  2.561177   1.3518519  1.1055287\n",
      "  1.2648975  5.5385203  1.2496223 12.931574 ]\n",
      "IPL : 3.6876044\n",
      "ACC for Each Validation Subject: [1.3750812  5.2117605  1.9287615  0.89781684 1.1386931  7.8966575\n",
      " 0.8663093  9.897931   1.8091824  1.6281152 ]\n",
      "ACC : 3.265031\n",
      "lOFC for Each Validation Subject: [ 3.9642751  4.8341227  1.980693   2.3836436  3.4429822  1.8484622\n",
      "  1.7842629  4.2032037  4.5024757 20.99311  ]\n",
      "lOFC : 4.9937234\n",
      "Put for Each Validation Subject: [1.0599493  0.62325454 1.5481452  0.6022815  2.2232375  1.2767484\n",
      " 0.8558949  8.922305   0.8394235  1.6825652 ]\n",
      "Put : 1.9633806\n",
      "AMY for Each Validation Subject: [ 2.9003243  1.6670823  3.5410008  2.2316225  1.5593171  2.698608\n",
      "  1.95595   10.042377   3.3601053  3.3156075]\n",
      "AMY : 3.3271995\n",
      "TP for Each Validation Subject: [ 7.674213   5.2575994  2.7342355  2.4044068 10.145499   8.831691\n",
      "  2.730473  22.092382   2.6961682 11.563148 ]\n",
      "TP : 7.6129813\n",
      "***Model's Final MSE(Validation) Loss between 15 ahead predicted and actual avg voxel BOLD values for ROIs for the Test Subjects***\n",
      "\n",
      "dlPFC for Each Validation Subject: [1.4217443  2.2057605  2.2887692  1.036933   0.8151886  1.0705397\n",
      " 0.87639564 1.1474123  3.3149219  1.1608138 ]\n",
      "dlPFC : 1.533848\n",
      "INS for Each Validation Subject: [1.3551891 1.6324687 2.0091257 1.2581645 1.0546067 7.4311543 1.7044753\n",
      " 6.8576884 1.690034  6.6704507]\n",
      "INS : 3.1663356\n",
      "VC for Each Validation Subject: [4.4764314 0.879439  3.3571315 1.749142  1.2406697 1.6527134 1.1361148\n",
      " 5.62327   2.7010407 5.421585 ]\n",
      "VC : 2.8237538\n",
      "Cau for Each Validation Subject: [ 6.072056  11.394786   3.1241293 16.553665   2.5140185 18.935469\n",
      "  2.376575  42.439373   2.325179   9.315953 ]\n",
      "Cau : 11.505121\n",
      "PCC for Each Validation Subject: [ 1.4530594  3.5014215  2.6748214  1.5323356  1.6762904 14.662707\n",
      "  1.5294231  9.006488   1.9409575  2.4845393]\n",
      "PCC : 4.046204\n",
      "PCG for Each Validation Subject: [2.34062   6.2883215 1.8388351 0.721765  0.5492046 4.7273846 4.860364\n",
      " 1.0352662 5.318584  3.8828838]\n",
      "PCG : 3.156323\n",
      "mCC for Each Validation Subject: [0.8551384 2.298404  2.358118  1.2114285 1.794512  9.400897  0.9487493\n",
      " 8.60619   1.8549776 9.868404 ]\n",
      "mCC : 3.919682\n",
      "mOFC for Each Validation Subject: [ 2.442776   2.1418316  8.590127   4.2252192  4.456771   1.3665199\n",
      "  2.864207   8.223171  10.001801   6.4631796]\n",
      "mOFC : 5.0775604\n",
      "Prec for Each Validation Subject: [ 1.6853132  2.9144764  2.8321562  1.3750615  2.1182399 10.5515785\n",
      "  1.3863902  4.799329   3.3848982  3.0749304]\n",
      "Prec : 3.4122376\n",
      "mPFC for Each Validation Subject: [ 9.122826   1.0328261 11.2052     2.014311   9.417793   2.1849205\n",
      "  2.3892078 21.028328   5.9873047 11.619122 ]\n",
      "mPFC : 7.6001844\n",
      "pSTS for Each Validation Subject: [ 2.0394192  1.5093912  3.7525403  5.653873   1.9007003  3.6179452\n",
      "  2.2143657  4.0499926  1.6703107 11.164565 ]\n",
      "pSTS : 3.7573104\n",
      "vlPFC for Each Validation Subject: [1.502245  0.8923022 3.0035849 1.3040462 0.8025085 3.0925336 1.7317643\n",
      " 3.5282423 2.1666574 4.9603925]\n",
      "vlPFC : 2.2984276\n",
      "dmPFC for Each Validation Subject: [ 3.7430978  8.848813   4.5244875  2.0575783  1.0691458 17.985277\n",
      "  3.1932855  1.3534791 10.925425  18.529926 ]\n",
      "dmPFC : 7.2230515\n",
      "Nac for Each Validation Subject: [ 2.4980488  5.808038   3.1037037 13.733378   1.8391079 13.366584\n",
      "  1.6967256 27.436321   2.560652   5.3506713]\n",
      "Nac : 7.7393227\n",
      "IPL for Each Validation Subject: [ 1.6003716  6.230359   2.6604497  2.49867    1.35034    1.1110383\n",
      "  1.1684618  5.1592584  1.2217983 13.011504 ]\n",
      "IPL : 3.6012254\n",
      "ACC for Each Validation Subject: [1.4688003  5.2405324  1.9602656  0.8416359  1.185792   7.639828\n",
      " 0.80951005 9.429334   1.9480927  1.6741892 ]\n",
      "ACC : 3.2197983\n",
      "lOFC for Each Validation Subject: [ 4.0648413  4.8283195  1.9744948  2.4578748  3.4986022  1.8439138\n",
      "  1.6641406  4.307864   4.8098307 20.464766 ]\n",
      "lOFC : 4.991465\n",
      "Put for Each Validation Subject: [1.071421   0.68645614 1.5282872  0.63930774 2.3575456  1.4716976\n",
      " 0.97948587 9.649179   0.88847613 1.812405  ]\n",
      "Put : 2.108426\n",
      "AMY for Each Validation Subject: [3.0507212 1.5410792 3.775884  2.1227148 1.5230211 2.3227298 1.8612083\n",
      " 8.99822   3.4225004 3.0741353]\n",
      "AMY : 3.1692214\n",
      "TP for Each Validation Subject: [ 7.652515   5.175852   2.5515957  2.285501  10.452283   8.81131\n",
      "  2.6945539 22.752413   2.724603  11.993411 ]\n",
      "TP : 7.709403\n"
     ]
    }
   ],
   "source": [
    "MSE_subs, AVG_MSE_subs = list(), list()\n",
    "for LOOK_AHEAD in LOOK_AHEADS:\n",
    "    print(f\"***Model's Final MSE(Validation) Loss between {LOOK_AHEAD} ahead predicted and actual avg voxel BOLD values for ROIs for the Test Subjects***\")\n",
    "    print()\n",
    "    ROI_MSE_subs, ROI_AVG_MSE_subs = list(), list()\n",
    "    for i in range(len(ROI_names)):\n",
    "        actual_test_data_output = np.squeeze(test_data_unscaled[i][:,LOOK_AHEAD:,:])\n",
    "        pred_test_data_output = scalers[i].inverse_transform(np.hstack([preds[LOOK_AHEAD-1][i][:,:,0], preds[LOOK_AHEAD-1][i][:,:LOOK_AHEAD,0]]))[:,:-LOOK_AHEAD]\n",
    "        ROI_MSE_subs.append(tf.keras.losses.mean_squared_error(actual_test_data_output, pred_test_data_output).numpy())\n",
    "        print(ROI_names[i]+\" for Each Validation Subject:\", ROI_MSE_subs[i])\n",
    "        ROI_AVG_MSE_subs.append(np.mean(tf.keras.metrics.mean_squared_error(actual_test_data_output, pred_test_data_output), axis=-1))\n",
    "        print(ROI_names[i]+\" :\", ROI_AVG_MSE_subs[i])\n",
    "    MSE_subs.append(ROI_MSE_subs)\n",
    "    AVG_MSE_subs.append(ROI_AVG_MSE_subs)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 121,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(20, 15, 10) (20, 15)\n"
     ]
    }
   ],
   "source": [
    "MSE_subs = np.transpose(np.array(MSE_subs), (1, 0, 2))\n",
    "AVG_MSE_subs = np.array(AVG_MSE_subs).T\n",
    "print(MSE_subs.shape, AVG_MSE_subs.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "for i in range(len(ROI_names)):\n",
    "    plt.figure(figsize=(24, 18))\n",
    "\n",
    "    for j in range(NUM_TEST_SUBS-1):\n",
    "\n",
    "        ax = plt.subplot(3, 3, j + 1)\n",
    "        plt.plot(MSE_subs[i, :, j])\n",
    "        plt.xticks(np.arange(1, 16))\n",
    "        plt.ylabel(\"MSE Loss\")\n",
    "        plt.xlabel(\"Ahead TRs\")\n",
    "        plt.title(f\"Avg BOLD MSE Losses of {LSTM_LAYERS}L-{HIDDEN_UNITS}H-{DENSE_LAYERS}D-{int(DROPOUT_PROB*10)}Drop for {j+1}th Test Sub's {ROI_names[i]}\")\n",
    "    plt.savefig(f\"./Plots/YOUNG/LSTM/AVG-BOLD-TEST-ENLARGED/{ROI_names[i]}/{LSTM_LAYERS}L-{HIDDEN_UNITS}H-{DENSE_LAYERS}D-{int(DROPOUT_PROB*10)}Drop-Upto-15Ahead-Losses.png\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "for i in range(len(ROI_names)):\n",
    "    plt.figure(figsize=(10, 10))\n",
    "    plt.plot(AVG_MSE_subs[i])\n",
    "    plt.xticks(np.arange(1, 16))\n",
    "    plt.ylabel(\"MSE Loss\")\n",
    "    plt.xlabel(\"Ahead TRs\")\n",
    "    plt.title(f\"Avg BOLD MSE Losses of {LSTM_LAYERS}L-{HIDDEN_UNITS}H-{DENSE_LAYERS}D-{int(DROPOUT_PROB*10)}Drop Across Test Subs\")\n",
    "    plt.savefig(f\"./Plots/YOUNG/LSTM/AVG-BOLD-TEST-ENLARGED/{ROI_names[i]}/{LSTM_LAYERS}L-{HIDDEN_UNITS}H-{DENSE_LAYERS}D-{int(DROPOUT_PROB*10)}Drop-Upto-15Ahead-Losses-Avg-Across-Subs.png\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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