Identification of Homogeneous Subgroups from Resting-State fMRI Data.

ABSTRACT: The identification of homogeneous subgroups of patients with psychiatric disorders can play an important role in achieving personalized medicine and is essential to provide insights for understanding neuropsychological mechanisms of various mental disorders. The functional connectivity profiles obtained from functional magnetic resonance imaging (fMRI) data have been shown to be unique to each individual, similar to fingerprints; however, their use in characterizing psychiatric disorders in a clinically useful way is still being studied. In this work, we propose a framework that makes use of functional activity maps for subgroup identification using the Gershgorin disc theorem. The proposed pipeline is designed to analyze a large-scale multi-subject fMRI dataset with a fully data-driven me

SUBMITTER: Yang H 

PROVIDER: S-EPMC10051904 | biostudies-literature | 2023 Mar

REPOSITORIES: biostudies-literature