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Sharing brain mapping statistical results with the neuroimaging data model

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 p...

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Autores principales: Maumet, 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.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5139675/
https://www.ncbi.nlm.nih.gov/pubmed/27922621
http://dx.doi.org/10.1038/sdata.2016.102
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author Maumet, 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.
author_facet Maumet, 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.
author_sort Maumet, Camille
collection PubMed
description 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.
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spelling pubmed-51396752016-12-08 Sharing brain mapping statistical results with the neuroimaging data model Maumet, 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. Sci Data Article 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. Nature Publishing Group 2016-12-06 /pmc/articles/PMC5139675/ /pubmed/27922621 http://dx.doi.org/10.1038/sdata.2016.102 Text en Copyright © 2016, The Author(s) http://creativecommons.org/licenses/by/4.0/ 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.
spellingShingle Article
Maumet, 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.
Sharing brain mapping statistical results with the neuroimaging data model
title Sharing brain mapping statistical results with the neuroimaging data model
title_full Sharing brain mapping statistical results with the neuroimaging data model
title_fullStr Sharing brain mapping statistical results with the neuroimaging data model
title_full_unstemmed Sharing brain mapping statistical results with the neuroimaging data model
title_short Sharing brain mapping statistical results with the neuroimaging data model
title_sort sharing brain mapping statistical results with the neuroimaging data model
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5139675/
https://www.ncbi.nlm.nih.gov/pubmed/27922621
http://dx.doi.org/10.1038/sdata.2016.102
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