Modern tools for sharing and synthesizing neuroimaging results

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NeuroVault.org is a platform for sharing statistical maps from neuroimaging results that aims to minimize costs and streamline the sharing process. It allows users to upload statistical maps with minimal required metadata and provides visualization, decoding, and similarity search tools to analyze shared data. Benefits include exposure of research, improved reusability of results, validation and increased statistical power through aggregation of data. The platform also provides APIs and supports direct uploads from software like SPM12.

Modern tools for sharing and
synthesizing neuroimaging
results
Chris Gorgolewski
Center for Reproducible Neuroscience
Stanford University

SHARING STATISTICAL MAPS
Every voxel counts

Neuroimaging data sharing
hierarchy
Poldrack and Gorgolewski, 2014

Just coordinates?
• Databases such as Neurosynth or
BrainMap rely on peak coordinates
reported in papers (only strong effects)

NeuroVault.org
simple data sharing
• Minimize the cost!
• We just want your statistical maps with
minimum description (DOI)
– If you want you can put more metadata, but
you don’t have to
• We streamline login process (Google,
Facebook)

Gene decoding
Gorgolewski KJ, Fox AS, Chang L et
al. Tight fitting genes: finding relations
between statistical maps and gene
expression patterns. F1000Posters
2014,5:1607 (poster)

Benefits - other
• Private collections
• Multiple contributors to one collection
• Sharable persistent URLs
• Viewer embeddable on your labs website
or your private blog
• Improved exposure of your research
• Improved reusability of your results

NeuroVault for developers
• RESTful API (field tested by Neurosynth)
• Source code available on GitHub

What is NIDM-Results?
Poster Number: 1851

NeuroVault.org data reuse
Sochat et al. 2015

Data-Driven Extraction of a Nested Model of Human Brain Function
Taylor Bolt, Jason S. Nomi, B. T. Thomas Yeo, Lucina Q. Uddin
Journal of Neuroscience 20 June 2017, 0323-17;

Similar databases
• ANIMA (metaanalyses)
– anima.modelgui.org [Reid et al. 2016]
• USC Multimodal Connectivity Database
– umcd.humanconnectomeproject.org
[Brown et al. 2012]
• BALSA (HCP style)
– balsa.wustl.edu [Van Essen et al. 2016]

Acknowledgements
Russell A. Poldrack
Jean-Baptiste Poline
Yannick Schwarz
Tal Yarkoni
Michael Milham
Daniel Margulies
Yannick Schwartz
Gael Varoquox
Joseph Wexler
Gabriel Rivera
Camile Maumet
Vanessa Sochat
Thomas Nichols
MPI CBS Resting state
group
Poldrack Lab
INCF Data Sharing Task
Force

As scientists in the life sciences we are trained to pursue singular goals around a publication or a validated target or a drug submission. Our failure rates are exceedingly high especially as we move closer to patients in the attempt to collect sufficient clinical evidence to demonstrate the value of novel therapeutics. This wastes resources as well as time for patients depending upon us for the next breakthrough. Edge Informatics is an approach to ameliorate these failures. Using both technical and social solutions together knowledge can be shared and leveraged across the drug development process. This is accomplished by making data assets discoverable, accessible, self-described, reusable and annotatable. The Open PHACTS project pioneered this approach and has provided a number of the technical and social solutions to enable Edge Informatics. A number of pre-competitive consortia and some content providers have also embraced this approach, facilitating networks of collaborators within and outside a given organization. When taken together more accurate, timely and inclusive decision-making is fostered.

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Modern tools for sharing and synthesizing neuroimaging results

1. Modern tools for sharing and synthesizing neuroimaging results Chris Gorgolewski Center for Reproducible Neuroscience Stanford University

2. SHARING STATISTICAL MAPS Every voxel counts

3. Neuroimaging data sharing hierarchy Poldrack and Gorgolewski, 2014

4. Just coordinates? • Databases such as Neurosynth or BrainMap rely on peak coordinates reported in papers (only strong effects)

5. Are we throwing money away?

7. NeuroVault.org simple data sharing • Minimize the cost! • We just want your statistical maps with minimum description (DOI) – If you want you can put more metadata, but you don’t have to • We streamline login process (Google, Facebook)

8. Gorgolewski, et al., 2015

9. Benefits - visualisation

10. Benefits - decoding

11. Benefits – similarity search

12. Benefits – similarity search

13. Gene decoding Gorgolewski KJ, Fox AS, Chang L et al. Tight fitting genes: finding relations between statistical maps and gene expression patterns. F1000Posters 2014,5:1607 (poster)

14. Gene decoding

15. Surface data

16. Power analysis

17.

18. Benefits - other • Private collections • Multiple contributors to one collection • Sharable persistent URLs • Viewer embeddable on your labs website or your private blog • Improved exposure of your research • Improved reusability of your results

19. Validation and gains in sensitivity

20. NeuroVault for developers • RESTful API (field tested by Neurosynth) • Source code available on GitHub

21. What is NIDM-Results? Poster Number: 1851

22. Direct upload from SPM12

23. NeuroVault.org data reuse Sochat et al. 2015

24. Data-Driven Extraction of a Nested Model of Human Brain Function Taylor Bolt, Jason S. Nomi, B. T. Thomas Yeo, Lucina Q. Uddin Journal of Neuroscience 20 June 2017, 0323-17;

25. Similar databases • ANIMA (metaanalyses) – anima.modelgui.org [Reid et al. 2016] • USC Multimodal Connectivity Database – umcd.humanconnectomeproject.org [Brown et al. 2012] • BALSA (HCP style) – balsa.wustl.edu [Van Essen et al. 2016]

26. Neuroimaging data sharing hierarchy Poldrack and Gorgolewski, 2014

27. Acknowledgements Russell A. Poldrack Jean-Baptiste Poline Yannick Schwarz Tal Yarkoni Michael Milham Daniel Margulies Yannick Schwartz Gael Varoquox Joseph Wexler Gabriel Rivera Camile Maumet Vanessa Sochat Thomas Nichols MPI CBS Resting state group Poldrack Lab INCF Data Sharing Task Force

Editor's Notes

Think how much money and effort goes into one study 100,000 USD to produce one paper: 6-12 pages of authors interpretation of acquired data …without the data itself By not reporting subthreshold effects we are wasting (taxpayers) money!
Calles for sharing statistical maps, data sharing has been problematic in the past
Add Camiles poster number.

Modern tools for sharing and synthesizing neuroimaging results

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Editor's Notes