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# Introduction to functional brain parcellation in fMRI | ||
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This notebook is an introduction to parcellation of the brain using functional magnetic resonance imaging. The notebook mixes figures, text and code to introduce some key concepts and results from the literature. The code is in python and is mainly based on the [nilearn](https://nilearn.github.io/) library. | ||
This notebook is an introduction to parcellation of the brain using functional magnetic resonance imaging. The notebook mixes figures, text and code to introduce some key concepts and results from the literature. The code is in python and is mainly based on the [nilearn](https://nilearn.github.io/) library. | ||
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Some image and code snippets were taken for the following tutorials: | ||
* [McGill QLC 612 - fundamentals in neuro data science](https://github.com/neurodatascience/course-materials-2020/blob/master/lectures/14-may/03-intro-to-machine-learning/ML_Regression_Tutorial.ipynb) | ||
* [Nilearn maskers](https://nilearn.github.io/manipulating_images/masker_objects.html) | ||
* [intro to machine learning at MAIN](https://brainhack101.github.io/introML-book/) | ||
* [Nilearn seed-to-voxel correlation map](https://nilearn.github.io/auto_examples/03_connectivity/plot_seed_to_voxel_correlation.html) |
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