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Non-parametric combination and related permutation tests for neuroimaging

Abstract:

In this work, we show how permutation methods can be applied to combination analyses such as those that include multiple imaging modalities, multiple data acquisitions of the same modality, or simply multiple hypotheses on the same data. Using the well-known definition of union-intersection tests and closed testing procedures, we use synchronized permutations to correct for such multiplicity of tests, allowing flexibility to integrate imaging data with different spatial resolutions, surface a...

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Publication status:
Published
Peer review status:
Peer reviewed
Version:
Publisher's version

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Publisher copy:
10.1002/hbm.23115

Authors


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Institution:
University of Oxford
Department:
Oxford, MSD, Clinical Neurosciences
Webster, MA More by this author
Brooks, JC More by this author
More by this author
Institution:
University of Oxford
Department:
Oxford, MSD, Clinical Neurosciences
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Publisher:
Wiley Online Library Publisher's website
Journal:
Human Brain Mapping Journal website
Volume:
37
Issue:
4
Pages:
1486–1511
Publication date:
2016-02-05
Acceptance date:
2016-01-03
DOI:
EISSN:
1097-0193
ISSN:
1065-9471
URN:
uuid:0ef262a7-4cc0-47ee-8ae6-69a49318033b
Source identifiers:
600481
Local pid:
pubs:600481

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