Cargando…
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...
Autores principales: | , , , , , , , , , , , , , , , , , |
---|---|
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 |
_version_ | 1782472284951281664 |
---|---|
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. |
format | Online Article Text |
id | pubmed-5139675 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT maumetcamille sharingbrainmappingstatisticalresultswiththeneuroimagingdatamodel AT auertibor sharingbrainmappingstatisticalresultswiththeneuroimagingdatamodel AT bowringalexander sharingbrainmappingstatisticalresultswiththeneuroimagingdatamodel AT chengang sharingbrainmappingstatisticalresultswiththeneuroimagingdatamodel AT dassamir sharingbrainmappingstatisticalresultswiththeneuroimagingdatamodel AT flandinguillaume sharingbrainmappingstatisticalresultswiththeneuroimagingdatamodel AT ghoshsatrajit sharingbrainmappingstatisticalresultswiththeneuroimagingdatamodel AT glatardtristan sharingbrainmappingstatisticalresultswiththeneuroimagingdatamodel AT gorgolewskikrzysztofj sharingbrainmappingstatisticalresultswiththeneuroimagingdatamodel AT helmerkarlg sharingbrainmappingstatisticalresultswiththeneuroimagingdatamodel AT jenkinsonmark sharingbrainmappingstatisticalresultswiththeneuroimagingdatamodel AT keatordavidb sharingbrainmappingstatisticalresultswiththeneuroimagingdatamodel AT nicholsbnolan sharingbrainmappingstatisticalresultswiththeneuroimagingdatamodel AT polinejeanbaptiste sharingbrainmappingstatisticalresultswiththeneuroimagingdatamodel AT reynoldsrichard sharingbrainmappingstatisticalresultswiththeneuroimagingdatamodel AT sochatvanessa sharingbrainmappingstatisticalresultswiththeneuroimagingdatamodel AT turnerjessica sharingbrainmappingstatisticalresultswiththeneuroimagingdatamodel AT nicholsthomase sharingbrainmappingstatisticalresultswiththeneuroimagingdatamodel |