Skip to content Skip to navigation
University of Warwick
  • Study
  • |
  • Research
  • |
  • Business
  • |
  • Alumni
  • |
  • News
  • |
  • About

University of Warwick
Publications service & WRAP

Highlight your research

  • WRAP
    • Home
    • Search WRAP
    • Browse by Warwick Author
    • Browse WRAP by Year
    • Browse WRAP by Subject
    • Browse WRAP by Department
    • Browse WRAP by Funder
    • Browse Theses by Department
  • Publications Service
    • Home
    • Search Publications Service
    • Browse by Warwick Author
    • Browse Publications service by Year
    • Browse Publications service by Subject
    • Browse Publications service by Department
    • Browse Publications service by Funder
  • Help & Advice
University of Warwick

The Library

  • Login
  • Admin

Reply to Brown and Behrmann, Cox, et al., and Kessler et al. : Data and code sharing is the way forward for fMRI

Tools
- Tools
+ Tools

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

[img]
Preview
PDF
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

Request Changes to record.

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)
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:
DateEvent
25 April 2017Published
18 April 2017Available
3 January 2017Accepted
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

Request changes or add full text files to a record

Repository staff actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics

twitter

Email us: wrap@warwick.ac.uk
Contact Details
About Us