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...
| Main Authors: | , , , , , , , , , , , , , , , , , |
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| Other Authors: | |
| Format: | Article |
| Language: | en_US |
| Published: |
Nature Publishing Group
2017
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| Online Access: | http://hdl.handle.net/1721.1/108614 https://orcid.org/0000-0002-5312-6729 |
| _version_ | 1826191708466970624 |
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| author | Maumet, Camille Auer, Tibor Bowring, Alexander Chen, Gang Das, Samir Flandin, Guillaume 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. Ghosh, Satrajit S |
| author2 | McGovern Institute for Brain Research at MIT |
| author_facet | McGovern Institute for Brain Research at MIT Maumet, Camille Auer, Tibor Bowring, Alexander Chen, Gang Das, Samir Flandin, Guillaume 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. Ghosh, Satrajit S |
| author_sort | Maumet, Camille |
| collection | MIT |
| 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. |
| first_indexed | 2024-09-23T09:00:08Z |
| format | Article |
| id | mit-1721.1/108614 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T09:00:08Z |
| publishDate | 2017 |
| publisher | Nature Publishing Group |
| record_format | dspace |
| spelling | mit-1721.1/1086142022-09-30T12:45:27Z Sharing brain mapping statistical results with the neuroimaging data model Maumet, Camille Auer, Tibor Bowring, Alexander Chen, Gang Das, Samir Flandin, Guillaume 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. Ghosh, Satrajit S McGovern Institute for Brain Research at MIT Ghosh, Satrajit S 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. National Institutes of Health (U.S.) (Grant 1R01EB020740-01A1) National Institutes of Health (U.S.) (Grant 1P41EB019936-01A) 2017-05-02T19:58:22Z 2017-05-02T19:58:22Z 2016-12 2016-06 Article http://purl.org/eprint/type/JournalArticle 2052-4463 http://hdl.handle.net/1721.1/108614 Maumet, Camille et al. “Sharing Brain Mapping Statistical Results with the Neuroimaging Data Model.” Scientific Data 3 (2016): 160102. https://orcid.org/0000-0002-5312-6729 en_US http://dx.doi.org/10.1038/sdata.2016.102 Scientific Data Creative Commons Attribution 4.0 International License http://creativecommons.org/licenses/by/4.0/ application/pdf Nature Publishing Group Nature |
| spellingShingle | Maumet, Camille Auer, Tibor Bowring, Alexander Chen, Gang Das, Samir Flandin, Guillaume 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. Ghosh, Satrajit S 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 |
| url | http://hdl.handle.net/1721.1/108614 https://orcid.org/0000-0002-5312-6729 |
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