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class: center, middle
name:opening
## The International Brain Station (TIBS)
<br>
.center[
Joshua T. Vogelstein
<br>
Dept. Biomedical Engineering
<br>
Kavli Neuroscience Discovery Institute
<br>
Johns Hopkins University
<!-- {[bme](http://www.bme.jhu.edu/),[icm](http://icm.jhu.edu/),[cis](http://cis.jhu.edu/),[idies](http://idies.jhu.edu/),kavli,[cs](http://engineering.jhu.edu/computer-science/), [ams](http://engineering.jhu.edu/ams/), [neuro](http://neuroscience.jhu.edu/)} | [jhu](https://www.jhu.edu/) -->
<br>
questions: [[email protected]](mailto:jovo at jhu dot edu)
<br>
slides: <http://brainx.io/china>
<br><br>
]
these slides modified from pre-UN talk
---
### Global Brain Workshop
<br>
- [April 5-6, 2016 @ JHU](http://brainx.io/)
- 60+ scientists
- 15+ observers from international funding community
- 12+ countries represented
- ideas evolved from discussions before, at, and after workshop
- [Report in Neuron](http://dx.doi.org/10.1016/j.neuron.2016.10.033)
- [Science](http://science.sciencemag.org/content/352/6283/277), [NIH](http://www.braininitiative.org/2016/04/22/international-brain-projects-considered/), [MIT Tech Review](https://www.technologyreview.com/s/602274/three-grand-challenges-for-brain-science-that-can-be-solved-in-10-years/), [Nature](http://www.nature.com/news/worldwide-brain-mapping-project-sparks-excitement-and-concern-1.20658) cover it.
---
### Coordinating Global Brain Projects
- September 19, 2016 @ Rockefeller
- 400+ scientists
- ideas shared and further discussed
- [Report in Cell](http://dx.doi.org/10.1016/j.cell.2017.02.023)
- [US State Dept Announcement](https://2009-2017.state.gov/r/pa/prs/ps/2016/09/262200.htm)
---
### NeuroStorm: Accelerating Brain Science Discovery in the Cloud
- Workshop on [June 7-8, 2017 @ JHU](http://brainx2.io/)
- Concrete plans for next steps towards democratizing brain sciences
<br>
- Hackathon on [October 24-27, 2017 @ MBL](http://neuroscience.uchicago.edu/hackathon/)
- 24 hackers from around the world taking next steps
<!-- - Open Data Ecosystem for Neuroscience, July 25-26, 2016 -->
<!-- - Coding sprint for a new neuroimaging data processing platform, August 1-4, 2016 -->
---
### Inspirational Work
<br>
1. Human Genome Project in molecular genetics
2. Sloan Digital Sky Survery in cosmology
<br>
Reference data and cloud ecosystems revolutionized these disciplines
---
class: center
## What is TIBS?
<br>
A living *ecosystem* that enables anybody to utilize or contribute
<center><img src="images/sic_framework.png" style="width: 750px;"/></center>
(4 scientist roles)
---
### Design Goals
<br><br>
- Globally democratize scientific discovery
- Lower the barrier to entry to data intensive brain science
- Integrate data, algorithms and theory
<!-- - .s[Democratize] science (anybody can contribute and utilize)
- .s[Pain points] eliminate for each stage of discovery
- .s[Reference] data and tools - lower the barrier to entry
- .s[Efficient] computation to conserve resources
-->
---
## Some Preliminary Results
<br>
- Open Data Ecosystem for Neuroscience, July 2016
- NSF NeuroNex RFP, October 2016
- [International Brain Lab](https://www.internationalbrainlab.com/#home) launches, September 2017
- Implemented CBRAIN on the Baidu Cloud
---
### A Pilot Project: [CoRR](http://fcon_1000.projects.nitrc.org/indi/CoRR/html/index.html)
- Consortium for Reliability and Reproducability
- Collaborators include JHU, Child Mind Institute, and
- BNU - Beijing Normal University
- HNU - Hangzhou Normal University
- IACAS - Institute of Automation, Chinese Academy of Sciences
- JHNU - Jinling Hospital, Nanjing University
- LMU - Ludwig-Maximilians-University
- XHCUMS - Xuanwu Hospital, Capital University of Medical Sciences
---
#### A Principled Approach to Connectome Estimation and Mega-Analysis Towards Replicable Science
- 10 fMRI studies and 17 dMRI studies (mostly from China)
- A computational and statistical pipeline (from us)
.center[
<img src="images/ndmg-pipeline.png" style="width: 600px;"/>
]
---
#### A Statistical Definition of "Discriminability"
- Difference between two measurements from same subject is less than two measurements from different subjects
- Proof that discriminability bounds predictive accuracy for downstream inference
- Use this metric to obtain highly discriminable pipelines for fMRI and dMRI
---
class: center
### Coarse Grained Connectome Properties are Replicable
<img src="images/megamean.png" style="width: 650px;"/>
---
class: center
### Fine Grained Connectome Properties are Not
<img src="images/subgraphs.png" style="width: 550px;"/>
---
### Next Steps for CoRR
<br>
- Manuscript to be submitted
- Pipeline updates
- Data acquisition updates
---
### Next Steps for Global Brain Sciences
<br>
- Build international coalition
- Continue expanding pilot projects
- Inspire cultural shift in neuroscience
---
class: center
# Questions?
<!-- ### Funding -->
<img src="images/lion3.jpg" STYLE="position:absolute; TOP:200px; LEFT:0px; WIDTH:400px;"/>
<img src="images/world.gif" STYLE="position:absolute; TOP:200px; LEFT:400px; WIDTH:500px;"/>
<br>
<br>
<br>
<br>
<br>
<br>
<br>
<br>
<br>
<!-- ____ -->
e: [[email protected]](mailto:[email protected])
<br>
w: [brainx.io](http://neurodata.io)
<!-- ____ -->
<!-- [more slides](http://docs.neurodata.io/ndintro/more.html) -->
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