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Reply to Brown and Behrmann, Cox, et al., and Kessler et al. : Data and code sharing is the way forward for fMRI
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Eklund, Anders, Nichols, Thomas E. and Knutsson, Hans (2017) Reply to Brown and Behrmann, Cox, et al., and Kessler et al. : Data and code sharing is the way forward for fMRI. Proceedings of the National Academy of Sciences of the United States of America, 114 (7). E3374-E3375. doi:10.1073/pnas.1620285114
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WRAP-reply-data-code-sharing-forward-Nichols-2017.pdf - Accepted Version - Requires a PDF viewer. Download (396Kb) | Preview |
Official URL: http://doi.org/10.1073/pnas.1620285114
Abstract
We are glad that our paper (1) has generated intense discussions in the fMRI field (2⇓–4), on how to analyze fMRI data, and how to correct for multiple comparisons. The goal of the paper was not to disparage any specific fMRI software, but to point out that parametric statistical methods are based on a number of assumptions that are not always valid for fMRI data, and that nonparametric statistical methods (5) are a good alternative. Through AFNI’s introduction of nonparametric statistics in the function 3dttest++ (3, 6), the three most common fMRI softwares now all support nonparametric group inference [SPM through the toolbox SnPM (www2.warwick.ac.uk/fac/sci/statistics/staff/academic-research/nichols/software/snpm), and FSL through the function randomise].
| Item Type: | Journal Item | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| Subjects: | R Medicine > RC Internal medicine > RC0321 Neuroscience. Biological psychiatry. Neuropsychiatry | ||||||||
| Divisions: | Faculty of Science, Engineering and Medicine > Science > Statistics Faculty of Science, Engineering and Medicine > Engineering > WMG (Formerly the Warwick Manufacturing Group) |
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| Library of Congress Subject Headings (LCSH): | Brain -- Magnetic resonance imaging., Medical statistics, Data structures (Computer science), Computer networks, Information technology | ||||||||
| Journal or Publication Title: | Proceedings of the National Academy of Sciences of the United States of America | ||||||||
| Publisher: | National Academy of Sciences | ||||||||
| ISSN: | 0027-8424 | ||||||||
| Official Date: | 25 April 2017 | ||||||||
| Dates: |
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| Volume: | 114 | ||||||||
| Number: | 7 | ||||||||
| Page Range: | E3374-E3375 | ||||||||
| DOI: | 10.1073/pnas.1620285114 | ||||||||
| Status: | Peer Reviewed | ||||||||
| Publication Status: | Published | ||||||||
| Access rights to Published version: | Restricted or Subscription Access | ||||||||
| Date of first compliant deposit: | 3 July 2017 | ||||||||
| Date of first compliant Open Access: | 3 July 2017 | ||||||||
| Funder: | Statens råd för byggnadsforskning (Sweden) [Swedish Research Council], Wellcome Trust (London, England), Information Technology for European Advancement (ITEA3) | ||||||||
| Grant number: | 2013-5229 |
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