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 and/or volume-based representations of the brain, including non-imaging data. For the problem of joint inference, we propose and evaluate a modification of the recently introduced non-parametric combination (NPC) methodology, such that instead of a two-phase algorithm and large data storage requirements

SUBMITTER: Winkler AM 

PROVIDER: S-EPMC4783210 | biostudies-literature | 2016 Apr

REPOSITORIES: biostudies-literature