Graph propagation network captures individual specificity of the relationship between functional and structural connectivity.

ABSTRACT: Functional connectivity (FC) network characterizes the functional interactions between brain regions and is considered to root in the underlying structural connectivity (SC) network. If this is the case, individual variations in SC should cause corresponding individual variations in FC. However, divergences exist in the correspondence between direct SC and FC and researchers still cannot capture individual differences in FC via direct SC. As brain regions may interact through multi-hop indirect SC pathways, we conceived that one can capture the individual specific SC-FC relationship via incorporating indirect SC pathways appropriately. In this study, we designed graph propagation network (GPN) that models the information propagation between brain regions based on the SC network. Effects of

SUBMITTER: Wu D 

PROVIDER: S-EPMC10203799 | biostudies-literature | 2023 Jun

REPOSITORIES: biostudies-literature