JHU/China

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name:opening

## The International Brain Station (TIBS)

.center[
Joshua T. Vogelstein
 
Dept. Biomedical Engineering
 
Kavli Neuroscience Discovery Institute
 
Johns Hopkins University

 
questions: [jovo@jhu.edu](mailto:jovo at jhu dot edu)
 
slides: <http://brainx.io/china>

]

these slides modified from pre-UN talk

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### Global Brain Workshop

- [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.

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### 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)

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### 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

- Hackathon on [October 24-27, 2017 @ MBL](http://neuroscience.uchicago.edu/hackathon/)
  - 24 hackers from around the world taking next steps

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### Inspirational Work

1. Human Genome Project in molecular genetics
2. Sloan Digital Sky Survery in cosmology

Reference data and cloud ecosystems revolutionized these disciplines

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## What is TIBS?

A living *ecosystem* that enables anybody to utilize or contribute

(4  scientist roles)

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### Design Goals

- Globally democratize scientific discovery
- Lower the barrier to entry to data intensive brain science
- Integrate data, algorithms and theory

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## Some Preliminary Results

- 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

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### 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

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#### 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;"/>
]

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#### 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

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### Coarse Grained Connectome Properties are Replicable

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### Fine Grained Connectome Properties are Not

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### Next Steps for CoRR

- Manuscript to be submitted
- Pipeline updates
- Data acquisition updates

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### Next Steps for Global Brain Sciences

- Build international coalition
- Continue expanding pilot projects
- Inspire cultural shift in neuroscience

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# Questions?

e: [jovo@jhu.edu](mailto:jovo@jhu.edu)
 
w: [brainx.io](http://neurodata.io)