Multiple testing correction over contrasts for brain imaging

Multiple testing correction over contrasts for brain imaging

The multiple testing problem arises not only when there are many voxels or vertices in an image representation of the brain, but also when multiple contrasts of parameter estimates (that represent hypotheses) are tested in the same general linear model. We argue that a correction for this multiplici...

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Bibliographic Details
Main Authors: Bianca A.V. Alberton, Thomas E. Nichols, Humberto R. Gamba, Anderson M. Winkler
Format: Article
Language:English
Published: Elsevier 2020-08-01
Series:NeuroImage
Subjects:
Multiple comparisons
Multiple testing
Brain imaging
Permutation tests
Contrast correction
Online Access:http://www.sciencedirect.com/science/article/pii/S1053811920302470

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http://www.sciencedirect.com/science/article/pii/S1053811920302470

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