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
  • Statistics
  • Help & Advice
University of Warwick

The Library

  • Login

Thresholding of statistical maps in functional neuroimaging using the false discovery rate

Tools
- Tools
+ Tools

Genovese, Christopher R., Lazar, Nicole A. and Nichols, Thomas E.. (2002) Thresholding of statistical maps in functional neuroimaging using the false discovery rate. NeuroImage, Vol.15 (No.4). pp. 870-878. ISSN 10538119

Full text not available from this repository.
Official URL: http://dx.doi.org/10.1006/nimg.2001.1037

Abstract

Findingobjective and effective thresholds for voxelwise statistics derived from neuroimaging data has been a long-standing problem. With at least one test performed for every voxel in an image, some correction of the thresholds is needed to control the error rates, but standard procedures for multiple hypothesis testing (e.g., Bonferroni) tend to not be sensitive enough to be useful in this context. This paper introduces to the neuroscience literature statistical procedures for controlling the false discovery rate (FDR). Recent theoretical work in statistics suggests that FDR-controlling procedures will be effective for the analysis of neuroimaging data. These procedures operate simultaneously on all voxelwise test statistics to determine which tests should be considered statistically significant. The innovation of the procedures is that they control the expected proportion of the rejected hypotheses that are falsely rejected. We demonstrate this approach using both simulations and functional magnetic resonance imaging data from two simple experiments.

Item Type: Journal Article
Subjects: Q Science > QA Mathematics
R Medicine > RC Internal medicine > RC0321 Neuroscience. Biological psychiatry. Neuropsychiatry
Divisions: Faculty of Science > Statistics
Library of Congress Subject Headings (LCSH): Brain -- Imaging -- Statistical methods, Brain -- Imaging -- Data processing, Magnetic resonance imaging -- Data processing, Magnetic resonance imaging -- Statistical methods, Statistical maps
Journal or Publication Title: NeuroImage
Publisher: Elsevier
ISSN: 10538119
Date: 28 March 2002
Volume: Vol.15
Number: No.4
Page Range: pp. 870-878
Identification Number: 10.1006/nimg.2001.1037
Status: Peer Reviewed
Publication Status: Published
URI: http://wrap.warwick.ac.uk/id/eprint/38240

Request changes to a record

Actions (login required)

View Item View Item
twitter

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