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Sci Data. 2016 Dec 6;3:160102. doi: 10.1038/sdata.2016.102.

Sharing brain mapping statistical results with the neuroimaging data model.

Author information

1
WMG, University of Warwick, Coventry CV4 7AL, UK.
2
MRC Cognition and Brain Sciences Unit, Cambridge CB2 7EF, UK.
3
Scientific and Statistical Computing Core, National Institute of Mental Health, National Institutes of Health, Bethesda, Maryland 20892, USA.
4
McGill Centre for Integrative Neuroscience, Ludmer Centre, Montreal Neurological Institute, Montreal, Quebec, Canada H3A 2B4.
5
Wellcome Trust Centre for Neuroimaging, UCL Institute of Neurology, London WC1N 3BG, UK.
6
McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA.
7
Université de Lyon, CREATIS; CNRS UMR5220; Inserm U1044; INSA-Lyon; Université Claude Bernard Lyon 1, Villeurbanne 69100, France.
8
Department of Psychology, Stanford University, Stanford, California 94305, USA.
9
Martinos Center for Biomedical Imaging, Massachusetts General Hospital; Department of Radiology, Boston, Massachusetts 02129, USA.
10
University of Oxford, Oxford OX3 9DU, UK.
11
Department of Psychiatry and Human Behavior, Department of Computer Science, Department of Neurology, University of California, Irvine, California 92697, USA.
12
Center for Health Sciences, SRI International, Menlo Park, California 94025, USA.
13
Helen Wills Neuroscience Institute, H. Wheeler Jr. Brain Imaging Center, University of California, Berkeley, California 94720, USA.
14
Psychology and Neuroscience, Georgia State University, Atlanta, Georgia 30302, USA.
15
Department of Statistics, University of Warwick, Coventry CV4 7AL, UK.

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.

PMID:
27922621
PMCID:
PMC5139675
DOI:
10.1038/sdata.2016.102
[Indexed for MEDLINE]
Free PMC Article

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