Mapping hybrid functional-structural connectivity traits in the human connectome.

ABSTRACT: One of the crucial questions in neuroscience is how a rich functional repertoire of brain states relates to its underlying structural organization. How to study the associations between these structural and functional layers is an open problem that involves novel conceptual ways of tackling this question. We here propose an extension of the Connectivity Independent Component Analysis (connICA) framework, to identify joint structural-functional connectivity traits. Here, we extend connICA to integrate structural and functional connectomes by merging them into common "hybrid" connectivity patterns that represent the connectivity fingerprint of a subject. We test this extended approach on the 100 unrelated subjects from the Human Connectome Project. The method is able to extract main independ

SUBMITTER: Amico E 

PROVIDER: S-EPMC6145853 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature