Modern tools for sharing and synthesizing neuroimaging results
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Organization for Human Brain Mapping 2017
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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
- 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
- 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
Notes de l'éditeur
- 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.