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Sharing brain mapping statistical results with the neuroimaging data model

Author(s)
Maumet, Camille; Auer, Tibor; Bowring, Alexander; Chen, Gang; Das, Samir; Flandin, Guillaume; Glatard, Tristan; Gorgolewski, Krzysztof J.; Helmer, Karl G.; Jenkinson, Mark; Keator, David B.; Nichols, B. Nolan; Poline, Jean-Baptiste; Reynolds, Richard; Sochat, Vanessa; Turner, Jessica; Nichols, Thomas E.; Ghosh, Satrajit S; ... Show more Show less
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Abstract
Only a tiny fraction of the data and metadata produced by an fMRI study is finally conveyed to the community. This lack of transparency not only hinders the reproducibility of neuroimaging results but also impairs future meta-analyses. In this work we introduce NIDM-Results, a format specification providing a machine-readable description of neuroimaging statistical results along with key image data summarising the experiment. NIDM-Results provides a unified representation of mass univariate analyses including a level of detail consistent with available best practices. This standardized representation allows authors to relay methods and results in a platform-independent regularized format that is not tied to a particular neuroimaging software package. Tools are available to export NIDM-Result graphs and associated files from the widely used SPM and FSL software packages, and the NeuroVault repository can import NIDM-Results archives. The specification is publically available at: http://nidm.nidash.org/specs/nidm-results.html.
Date issued
2016-12
URI
http://hdl.handle.net/1721.1/108614
Department
McGovern Institute for Brain Research at MIT
Journal
Scientific Data
Publisher
Nature Publishing Group
Citation
Maumet, Camille et al. “Sharing Brain Mapping Statistical Results with the Neuroimaging Data Model.” Scientific Data 3 (2016): 160102.
Version: Final published version
ISSN
2052-4463

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