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Journal article

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
Version:
Accepted manuscript

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Publisher copy:
10.1016/j.neuroimage.2017.07.025

Authors


Gutierrez-Barragan, F More by this author
Ithapu, VK More by this author
Hinrichs, C More by this author
More by this author
ORCID:
0000-0002-6290-553X
Johnson, SC More by this author
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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
Pubs id:
pubs:708938
URN:
uri:6d91fc4e-2abf-406d-bba7-07831a2ae966
UUID:
uuid:6d91fc4e-2abf-406d-bba7-07831a2ae966
Local pid:
pubs:708938

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