Belmonte, M ORCID: https://orcid.org/0000-0002-4633-9400 and Yurgelun-Todd, D, 2001. Permutation testing made practical for functional magnetic resonance image analysis. IEEE Transactions on Medical Imaging, 20 (3), pp. 243-248. ISSN 0278-0062
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Abstract
We describe an efficient algorithm for the step-down permutation test, applied to the analysis of functional magnetic resonance images. The algorithm's time bound is nearly linear, making it feasible as an interactive tool. Results of the permutation test algorithm applied to data from a cognitive activation paradigm are compared with those of a standard parametric test corrected for multiple comparisons. The permutation test identifies more weakly activated voxels than the parametric test, always activates a superset of the voxels activated by this parametric method, almost always yields significance levels greater than or equal to those produced by the parametric method, and tends to enlarge activated clusters rather than adding isolated voxels. Our implementation of the permutation test is freely available as part of a widely distributed software package for analysis of functional brain images.
Item Type: | Journal article |
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Publication Title: | IEEE Transactions on Medical Imaging |
Creators: | Belmonte, M. and Yurgelun-Todd, D. |
Publisher: | IEEE |
Date: | 2001 |
Volume: | 20 |
Number: | 3 |
ISSN: | 0278-0062 |
Identifiers: | Number Type 10.1109/42.918475 DOI |
Rights: | © Copyright 2001 IEEE - All rights reserved. |
Divisions: | Schools > School of Social Sciences |
Record created by: | EPrints Services |
Date Added: | 09 Oct 2015 10:00 |
Last Modified: | 09 Jun 2017 13:16 |
URI: | https://irep.ntu.ac.uk/id/eprint/6135 |
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