NIDM-Results: Standardized reporting of mass univariate neuroimaging results in SPM, FSL and AFNI

Camille Maumet 1, * B. Nolan Nichols 2 Guillaume Flandin 3 Karl Helmer 4 Tibor Auer 5 Alexander Bowring 1 Vanessa Sochat 6 Samir Das 7 Tristan Glatard 7, 8 Richard Reynolds 9 Robert Cox 9 Gang Chen 9 Mark Jenkinson 10 Matthew Webster 10 Jason Steffener 11 Krzysztof Gorgolewski 6 Jessica Turner 12 Thomas Nichols 13, 1 Satrajit Ghosh 14 Jean-Baptiste Poline 15 David Keator 16
* Auteur correspondant
1 WMG - Warwick Manufacturing Group [Coventry]
2 SRI - SRI International [Menlo Park]
3 Wellcome Trust Centre for Neuroimaging
4 Massachusetts General Hospital
5 MRC CBU - Cognition and Brain Sciences Unit
6 Stanford University [Stanford]
7 Montreal Neurological Institute [Montréal]
8 CREATIS - Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé
9 NIH - National Institutes of Health [Bethesda]
10 University of Oxford [Oxford]
11 Columbia University [New York]
12 Georgia State University
13 Department of Statistics [Warwick]
14 MIT - Massachusetts Institute of Technology
15 Henry H. Wheeler Jr. Brain Imaging Center, University of California at Berkeley
16 UCI - University of California [Irvine]
Abstract : Results of a neuroimaging study are usually shared through the publication of a scientific paper describing the experiment and analysis outcome. While hundreds of gigabytes of data are usually generated as part of an fMRI experiment, in the literature the authors typically report their results as a list of significant local maxima, i.e. locations in the brain defined in a standard space (e.g. MNI) that pass rigorous statistical testing. This practice is unsatisfactory in terms of data re-use as it does not allow for the automatic extraction of acquisition or processing information and it provides only sparse information about the location of the brain activity. While databases have been built to provide manually curated (such as BrainMap ​ [1]​) or automatically-extracted (e.g. NeuroSynth ​ [2]​) meta-data associated with published papers, ideally, these meta-data should be made available by the authors themselves at the time of the publication.
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Communication dans un congrès
22nd Annual Meeting of the Organization for Human Brain Mapping (OHBM 2016), Jun 2016, Geneva, Switzerland
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Contributeur : Camille Maumet <>
Soumis le : lundi 31 juillet 2017 - 14:18:36
Dernière modification le : lundi 8 octobre 2018 - 21:16:03

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Camille Maumet, B. Nolan Nichols, Guillaume Flandin, Karl Helmer, Tibor Auer, et al.. NIDM-Results: Standardized reporting of mass univariate neuroimaging results in SPM, FSL and AFNI. 22nd Annual Meeting of the Organization for Human Brain Mapping (OHBM 2016), Jun 2016, Geneva, Switzerland. 〈inserm-01570626〉

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