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dc.contributor.authorMaumet, Camille
dc.contributor.authorAuer, Tibor
dc.contributor.authorBowring, Alexander
dc.contributor.authorChen, Gang
dc.contributor.authorDas, Samir
dc.contributor.authorFlandin, Guillaume
dc.contributor.authorGlatard, Tristan
dc.contributor.authorGorgolewski, Krzysztof J.
dc.contributor.authorHelmer, Karl G.
dc.contributor.authorJenkinson, Mark
dc.contributor.authorKeator, David B.
dc.contributor.authorNichols, B. Nolan
dc.contributor.authorPoline, Jean-Baptiste
dc.contributor.authorReynolds, Richard
dc.contributor.authorSochat, Vanessa
dc.contributor.authorTurner, Jessica
dc.contributor.authorNichols, Thomas E.
dc.contributor.authorGhosh, Satrajit S
dc.date.accessioned2017-05-02T19:58:22Z
dc.date.available2017-05-02T19:58:22Z
dc.date.issued2016-12
dc.date.submitted2016-06
dc.identifier.issn2052-4463
dc.identifier.urihttp://hdl.handle.net/1721.1/108614
dc.description.abstractOnly 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.en_US
dc.description.sponsorshipNational Institutes of Health (U.S.) (Grant 1R01EB020740-01A1)en_US
dc.description.sponsorshipNational Institutes of Health (U.S.) (Grant 1P41EB019936-01A)en_US
dc.language.isoen_US
dc.publisherNature Publishing Groupen_US
dc.relation.isversionofhttp://dx.doi.org/10.1038/sdata.2016.102en_US
dc.rightsCreative Commons Attribution 4.0 International Licenseen_US
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en_US
dc.sourceNatureen_US
dc.titleSharing brain mapping statistical results with the neuroimaging data modelen_US
dc.typeArticleen_US
dc.identifier.citationMaumet, Camille et al. “Sharing Brain Mapping Statistical Results with the Neuroimaging Data Model.” Scientific Data 3 (2016): 160102.en_US
dc.contributor.departmentMcGovern Institute for Brain Research at MITen_US
dc.contributor.mitauthorGhosh, Satrajit S
dc.relation.journalScientific Dataen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dspace.orderedauthorsMaumet, Camille; Auer, Tibor; Bowring, Alexander; Chen, Gang; Das, Samir; Flandin, Guillaume; Ghosh, Satrajit; 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.en_US
dspace.embargo.termsNen_US
dc.identifier.orcidhttps://orcid.org/0000-0002-5312-6729
mit.licensePUBLISHER_CCen_US


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