Group-common and individual-specific effects of structure-function coupling in human brain networks with graph neural networks.

ABSTRACT: The human cerebral cortex is organized into functionally segregated but synchronized regions bridged by the structural connectivity of white matter pathways. While structure-function coupling has been implicated in cognitive development and neuropsychiatric disorders, it remains unclear to what extent the structure-function coupling reflects a group-common characteristic or varies across individuals, at both the global and regional brain levels. By leveraging two independent, high-quality datasets, we found that the graph neural network accurately predicted unseen individuals' functional connectivity from structural connectivity, reflecting a strong structure-function coupling. This coupling was primarily driven by network topology and was substantially stronger than that of the correlatio

SUBMITTER: Chen P 

PROVIDER: S-EPMC10690242 | biostudies-literature | 2024 Sep

REPOSITORIES: biostudies-literature