A local group differences test for subject-level multivariate density neuroimaging outcomes.

ABSTRACT: A great deal of neuroimaging research focuses on voxel-wise analysis or segmentation of damaged tissue, yet many diseases are characterized by diffuse or non-regional neuropathology. In simple cases, these processes can be quantified using summary statistics of voxel intensities. However, the manifestation of a disease process in imaging data is often unknown, or appears as a complex and nonlinear relationship between the voxel intensities on various modalities. When the relevant pattern is unknown, summary statistics are often unable to capture differences between disease groups, and their use may encourage post hoc searches for the optimal summary measure. In this study, we introduce the multi-modal density testing (MMDT) framework for the naive discovery of group differences in voxel in

SUBMITTER: Dworkin JD 

PROVIDER: S-EPMC8286551 | biostudies-literature | 2021 Jul

REPOSITORIES: biostudies-literature