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Sharing brain mapping statistical results with the neuroimaging data model

Maumet, C; Auer, T; Bowring, A; Chen, G; Das, S; Flandin, G; Ghosh, S; ... Nichols, TE; + view all (2016) Sharing brain mapping statistical results with the neuroimaging data model. Scientific Data , 3 , Article 160102. 10.1038/sdata.2016.102. Green open access

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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.

Type: Article
Title: Sharing brain mapping statistical results with the neuroimaging data model
Open access status: An open access version is available from UCL Discovery
DOI: 10.1038/sdata.2016.102
Publisher version: http://dx.doi.org/10.1038/sdata.2016.102
Language: English
Additional information: This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0 Metadata associated with this Data Descriptor is available at http://www.nature.com/sdata/ and is released under the CC0 waiver to maximize reuse.
Keywords: Science & Technology, Multidisciplinary Sciences, Science & Technology - Other Topics, FMRI, REPRODUCIBILITY, METAANALYSIS, TRANSPARENCY, NEUROSCIENCE, EVOLUTION, ONTOLOGY
UCL classification: UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology > Imaging Neuroscience
URI: https://discovery.ucl.ac.uk/id/eprint/1534890
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