In-vivo data-driven parcellation of Heschl's gyrus using structural connectivity.

ABSTRACT: The human auditory cortex around Heschl's gyrus (HG) exhibits diverging patterns across individuals owing to the heterogeneity of its substructures. In this study, we investigated the subregions of the human auditory cortex using data-driven machine-learning techniques at the individual level and assessed their structural and functional profiles. We studied an openly accessible large dataset of the Human Connectome Project and identified the subregions of the HG in humans using data-driven clustering techniques with individually calculated imaging features of cortical folding and structural connectivity information obtained via diffusion magnetic resonance imaging tractography. We characterized the structural and functional profiles of each HG subregion according to the cortical morphology

SUBMITTER: Lee H 

PROVIDER: S-EPMC9253310 | biostudies-literature | 2022 Jul

REPOSITORIES: biostudies-literature