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Accelerating permutation testing in voxel-wise analysis through subspace tracking: A new plugin for SnPM

Abstract:

Permutation testing is a non-parametric method for obtaining the max null distribution used to compute corrected p-values that provide strong control of false positives. In neuroimaging, however, the computational burden of running such an algorithm can be significant. We find that by viewing the permutation testing procedure as the construction of a very large permutation testing matrix, T, one can exploit structural properties derived from the data and the test statistics to reduce the runt...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1016/j.neuroimage.2017.07.025

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Role:
Author
ORCID:
0000-0002-6290-553X
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University of Wisconsin More from this funder
Publisher:
Elsevier Publisher's website
Journal:
NeuroImage Journal website
Volume:
159
Pages:
79-98
Publication date:
2017-07-15
Acceptance date:
2017-07-12
DOI:
EISSN:
1095-9572
ISSN:
1053-8119
Pmid:
28720551
Source identifiers:
708938
Language:
English
Keywords:
Pubs id:
pubs:708938
UUID:
uuid:6d91fc4e-2abf-406d-bba7-07831a2ae966
Local pid:
pubs:708938
Deposit date:
2018-11-01

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