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Nature Research, Scientific Data, 1(3), 2016

DOI: 10.1038/sdata.2016.102

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Sharing brain mapping statistical results with the neuroimaging data model

Journal article published in 2016 by Camille Maumet ORCID, Tibor Auer, Alexander Bowring, Gang Chen, Samir Das, Guillaume Flandin ORCID, Satrajit Ghosh ORCID, Tristan Glatard, Krzysztof J. Gorgolewski ORCID, Karl G. Helmer, Mark Jenkinson ORCID, David B. Keator, Bn Nolan Nichols ORCID, Nolan Nolan Nichols, Jean-Baptiste Poline and other authors.
This paper is made freely available by the publisher.
This paper is made freely available by the publisher.

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Abstract

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.