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Fast Random Permutation Tests Enable Objective Evaluation of Methods for Single-Subject fMRI Analysis
Joint Authors
Andersson, Mats
Eklund, Anders
Knutsson, Hans
Source
International Journal of Biomedical Imaging
Issue
Vol. 2011, Issue 2011 (31 Dec. 2011), pp.1-15, 15 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2011-10-23
Country of Publication
Egypt
No. of Pages
15
Main Subjects
Abstract EN
Parametric statistical methods, such as Z-, t-, and F-values, are traditionally employed in functional magnetic resonance imaging (fMRI) for identifying areas in the brain that are active with a certain degree of statistical significance.
These parametric methods, however, have two major drawbacks.
First, it is assumed that the observed data are Gaussian distributed and independent; assumptions that generally are not valid for fMRI data.
Second, the statistical test distribution can be derived theoretically only for very simple linear detection statistics.
With nonparametric statistical methods, the two limitations described above can be overcome.
The major drawback of non-parametric methods is the computational burden with processing times ranging from hours to days, which so far have made them impractical for routine use in single-subject fMRI analysis.
In this work, it is shown how the computational power of cost-efficient graphics processing units (GPUs) can be used to speed up random permutation tests.
A test with 10000 permutations takes less than a minute, making statistical analysis of advanced detection methods in fMRI practically feasible.
To exemplify the permutation-based approach, brain activity maps generated by the general linear model (GLM) and canonical correlation analysis (CCA) are compared at the same significance level.
American Psychological Association (APA)
Eklund, Anders& Andersson, Mats& Knutsson, Hans. 2011. Fast Random Permutation Tests Enable Objective Evaluation of Methods for Single-Subject fMRI Analysis. International Journal of Biomedical Imaging،Vol. 2011, no. 2011, pp.1-15.
https://search.emarefa.net/detail/BIM-486330
Modern Language Association (MLA)
Eklund, Anders…[et al.]. Fast Random Permutation Tests Enable Objective Evaluation of Methods for Single-Subject fMRI Analysis. International Journal of Biomedical Imaging No. 2011 (2011), pp.1-15.
https://search.emarefa.net/detail/BIM-486330
American Medical Association (AMA)
Eklund, Anders& Andersson, Mats& Knutsson, Hans. Fast Random Permutation Tests Enable Objective Evaluation of Methods for Single-Subject fMRI Analysis. International Journal of Biomedical Imaging. 2011. Vol. 2011, no. 2011, pp.1-15.
https://search.emarefa.net/detail/BIM-486330
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-486330