Sharing brain mapping statistical results with the neuroimaging data model

被引：36

作者：

Maumet, Camille ^{[1
]}

Auer, Tibor ^{[2
]}

Bowring, Alexander ^{[1
]}

Chen, Gang ^{[3
]}

Das, Samir ^{[4
]}

Flandin, Guillaume ^{[5
]}

Ghosh, Satrajit ^{[6
]}

Glatard, Tristan ^{[4
,7
]}

Gorgolewski, Krzysztof J. ^{[8
]}

Helmer, Karl G. ^{[9
]}

Jenkinson, Mark ^{[10
]}

Keator, David B. ^{[11
]}

Nichols, B. Nolan ^{[12
]}

Poline, Jean-Baptiste ^{[13
]}

Reynolds, Richard ^{[3
]}

Sochat, Vanessa ^{[8
]}

Turner, Jessica ^{[14
]}

Nichols, Thomas E. ^{[1
,15
]}

机构：

[1] Univ Warwick, WMG, Coventry CV4 7AL, W Midlands, England

[2] MRC Cognit & Brain Sci Unit, Cambridge CB2 7EF, England

[3] NIMH, Sci & Stat Comp Core, NIH, Bethesda, MD 20892 USA

[4] Montreal Neurol Inst, Ludmer Ctr, McGill Ctr Integrat Neurosci, Montreal, PQ H3A 2B4, Canada

[5] UCL, Inst Neurol, Wellcome Trust Ctr Neuroimaging, London WC1N 3BG, England

[6] MIT, McGovern Inst Brain, Cambridge, MA 02139 USA

[7] Univ Claude Bernard Lyon 1, INSA Lyon, Inserm U1044, Univ Lyon,CREATIS,CNRS UMR5220, F-69100 Villeurbanne, France

[8] Stanford Univ, Dept Psychol, Stanford, CA 94305 USA

[9] Massachusetts Gen Hosp, Dept Radiol, Martinos Ctr Biomed Imaging, Boston, MA 02129 USA

[10] Univ Oxford, Oxford OX3 9DU, England

[11] Univ Calif Irvine, Dept Neurol, Dept Comp Sci, Dept Psychiat & Human Behav, Irvine, CA 92697 USA

[12] SRI Int, Ctr Hlth Sci, Menlo Pk, CA 94025 USA

[13] Univ Calif Berkeley, H Wheeler Jr Brain Imaging Ctr, Helen Wills Neurosci Inst, Berkeley, CA 94720 USA

[14] Georgia State Univ, Psychol & Neurosci, Atlanta, GA 30302 USA

[15] Univ Warwick, Dept Stat, Coventry CV4 7AL, W Midlands, England

来源：

SCIENTIFIC DATA | 2016年 / 3卷

基金：

英国医学研究理事会; 英国惠康基金;

关键词：

REPRODUCIBILITY; METAANALYSIS; TRANSPARENCY; EVOLUTION; ONTOLOGY;

D O I：

10.1038/sdata.2016.102

中图分类号：

O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

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.

引用

页数：15

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