Genetic fingerprinting with heritable phenotypes of the resting-state brain network topology.

ABSTRACT: Cognitive, behavioral, and disease traits are influenced by both genetic and environmental factors. Individual differences in these traits have been associated with graph theoretical properties of resting-state networks, indicating that variations in connectome topology may be driven by genetics. In this study, we establish the heritability of global and local graph properties of resting-state networks derived from functional MRI (fMRI) and magnetoencephalography (MEG) using a large sample of twins and non-twin siblings from the Human Connectome Project. We examine the heritability of MEG in the source space, providing a more accurate estimate of genetic influences on electrophysiological networks. Our findings show that most graph measures are more heritable for MEG compared to fMRI and t

SUBMITTER: Pourmotabbed H 

PROVIDER: S-EPMC11443053 | biostudies-literature | 2024 Sep

REPOSITORIES: biostudies-literature