A simple permutation-based test of intermodal correspondence.

ABSTRACT: Many key findings in neuroimaging studies involve similarities between brain maps, but statistical methods used to measure these findings have varied. Current state-of-the-art methods involve comparing observed group-level brain maps (after averaging intensities at each image location across multiple subjects) against spatial null models of these group-level maps. However, these methods typically make strong and potentially unrealistic statistical assumptions, such as covariance stationarity. To address these issues, in this article we propose using subject-level data and a classical permutation testing framework to test and assess similarities between brain maps. Our method is comparable to traditional permutation tests in that it involves randomly permuting subjects to generate a null di

SUBMITTER: Weinstein SM 

PROVIDER: S-EPMC8519855 | biostudies-literature | 2021 Nov

REPOSITORIES: biostudies-literature