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

Camille Maumet; B. Nolan Nichols; Guillaume Flandin; Karl Helmer; Tibor Auer; Alexander Bowring; Vanessa Sochat; Samir Das; Tristan Glatard; Richard Reynolds; Robert Cox; Gang Chen; Mark Jenkinson; Matthew Webster; Jason Steffener; Krzysztof Gorgolewski; Jessica Turner; Thomas Nichols; Satrajit Ghosh; Jean-Baptiste Poline; David Keator

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, 9} Richard Reynolds ¹⁰ Robert Cox ¹⁰ Gang Chen ¹⁰ Mark Jenkinson ¹¹ Matthew Webster ¹¹ Jason Steffener ¹² Krzysztof Gorgolewski ⁶ Jessica Turner ¹³ Thomas Nichols ^{14, 1} Satrajit Ghosh ¹⁵ Jean-Baptiste Poline ¹⁶ David Keator ¹⁷

* Corresponding author

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 and Hospital

8 CREATIS - Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé

9 Images et Modèles

CREATIS - Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé

10 NIH - National Institutes of Health [Bethesda]

11 University of Oxford [Oxford]

12 Columbia University [New York]

13 Georgia State University

14 Department of Statistics [Warwick]

15 MIT - Massachusetts Institute of Technology

16 Henry H. Wheeler Jr. Brain Imaging Center, University of California at Berkeley

17 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.

Document type :

Conference papers

Domain :

Life Sciences [q-bio] / Neurons and Cognition [q-bio.NC]

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https://www.hal.inserm.fr/inserm-01570626
Contributor : Camille Maumet <>
Submitted on : Monday, July 31, 2017 - 2:18:36 PM
Last modification on : Friday, June 28, 2019 - 3:02:50 PM

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