#### Open Access to the Brain: a Computer "Connectome" Links Brain Images in Fine Detail Joshua T. Vogelstein
.footnote[[jovo@jhu.edu](mailto:jovo@jhu.edu) |
| [@neuro_data](https://twitter.com/neuro_data)]
--- class: middle, inverse # .center[Motivation] --- # .center[Brains are Beautiful]
--- # .center[Brains are Ubiquitous]
.footnote[source: [Ethnic Origins of Beauty](http://www.lesoriginesdelabeaute.com/en/accueil.html)] --- # .center[Brains are Ubiquitous]
.footnote[source: [Earth BioGenome Project](https://www.ucdavis.edu/news/earth-biogenome-project-aims-sequence-dna-all-complex-life)] --- # .center[Brains are Awesome]
.footnote[source: [hbo](https://www.hbo.com/westworld/season-2/1-journey-into-night/premiere-reactions-roundup)] --- # .center[Brains are Expensive]
.footnote[source: [nami](https://nami.org/Learn-More/Mental-Health-By-the-Numbers)] --- # .center[Changing the World] - Democratize intelligences - Understand intelligences - Enhance intelligences --- class: middle, inverse # .center[Approach] --- # .center[Gather the Data] .pull-left[ - 20+ labs - 30+ datasets - 100+ terabytes ] .pull-left[ - from nano to macro - worm, fly, mouse, primate, human - largest and most diverse open repository in brain science ]
--- # .center[Manage the Data] .pull-left[ - too big for your hard drive - too big to open in Preview or Photos - too big to visualize online ] .pull-right[ - too many files to keep track of - too expensive to download data - big data systems ]
.footnote[source: [wikimedia](https://commons.wikimedia.org/wiki/File:High_Performance_Computing_Center_Stuttgart_HLRS_2015_07_Cray_XC40_Hazel_Hen_IO.jpg)] --- # .center[Process the Data] .pull-left[ - convert bits to networks - distributed pipelines - integrated quality assurance ]
.footnote[source: [wired](https://www.wired.com/story/the-matrix-code-sushi-recipe/)] --- # .center[Model the Data] .pull-left[ - statistical models of networks - incorporate uncertainty - address populations ] .pull-right[ - develop estimators - prove theorems ]
--- # .center[Analyze the Data] .pull-left[ - 4 different populations - dots represent brain regions - lines represent connections ] .pull-right[ - each brain is an average over many people - averages look similar to one another ]
--- ### Differences Between Studies .pull-left[ - 20 studies of ~100 individuals each - each line is the difference between a pair of studies - right to left: small to large differences ]
--- ### Differences Between Sexes .pull-left[ - 20 studies of ~100 individuals each - each line is the difference between a pair of studies - right to left: small to large differences ] .pull-right[ - sex differences are small - could be due to demographics - could be due to study artifacts ]
--- # .center[Share the Data] .pull-left[ - 1000+ unique visitors / week - ~100,000 unique visitors ] .pull-left[ - 200+ cities - 130+ countries - all inhabited continents ]
--- # .center[Next Steps]
- Working with Amazon to provide free storage for everyone - Make software "self-serve" to eliminate the bottleneck of us - Require more data to pool together - New AI to harmonize data - Discover more connections across datasets --- # .center[Summary]
- Brains are beautiful - Brains are ubiquitous - Brains are awesome - Brains are circuits - We build big data systems and machine learning algorithms to make sense of them - Everyone can access and benefit from this work --- # .center[References]
- Open Connectome Project [[1]](https://doi.org/10.1145/2484838.2484870) - A Community-Developed Open-Source Computational Ecosystem for Big Neuro Data [[2]](https://www.nature.com/articles/s41592-018-0181-1) - A High-Throughput Pipeline Identifies Robust Connectomes But Troublesome Variability [[3]](https://doi.org/10.1101/188706) - Discovering and Deciphering Relationships Across Disparate Data Modalities [[4]](https://elifesciences.org/articles/41690) --- ## .center[Acknowledgements]
Carey Priebe
Randal Burns
Michael Miller
Brian Caffo
Daniel Tward
Minh Tang
Avanti Athreya
Vince Lyzinski
Daniel Sussman
Cencheng Shen
Jeremias Sulam
Benjamin Falk
Jesse Patsolic
Youngser Park
Eric Perlman
Kwame Kutten
Jesus Arroyo
Shangsi Wang
Tyler Tomita
James Brown
Disa Mhembere
Eric Bridgeford
Vikram Chandrashekhar
Ben Pedigo
Jaewon Chung
Greg Kiar
Ronak Mehta
Satish Palaniappan
Drishti Mannan
Junhao Xiong
Brandon Duderstadt
Richard Guo
Alex Loftus
♥, 🦁, 👪, 🌎, 🌌
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