An exemplar-based approach to individualized parcellation reveals the need for sex specific functional networks.

ABSTRACT: Recent work with functional connectivity data has led to significant progress in understanding the functional organization of the brain. While the majority of the literature has focused on group-level parcellation approaches, there is ample evidence that the brain varies in both structure and function across individuals. In this work, we introduce a parcellation technique that incorporates delineation of functional networks both at the individual- and group-level. The proposed technique deploys the notion of "submodularity" to jointly parcellate the cerebral cortex while establishing an inclusive correspondence between the individualized functional networks. Using this parcellation technique, we successfully established a cross-validated predictive model that predicts individuals' sex, sol

SUBMITTER: Salehi M 

PROVIDER: S-EPMC5905726 | biostudies-literature | 2018 Apr

REPOSITORIES: biostudies-literature