System-level matching of structural and functional connectomes in the human brain.

ABSTRACT: The brain can be considered as an information processing network, where complex behavior manifests as a result of communication between large-scale functional systems such as visual and default mode networks. As the communication between brain regions occurs through underlying anatomical pathways, it is important to define a "traffic pattern" that properly describes how the regions exchange information. Empirically, the choice of the traffic pattern can be made based on how well the functional connectivity between regions matches the structural pathways equipped with that traffic pattern. In this paper, we present a multimodal connectomics paradigm utilizing graph matching to measure similarity between structural and functional connectomes (derived from dMRI and fMRI data) at node, system,

SUBMITTER: Osmanlıoglu Y 

PROVIDER: S-EPMC6688960 | biostudies-literature | 2019 Oct

REPOSITORIES: biostudies-literature