Brain subnetworks most sensitive to alterations of functional connectivity in Schizophrenia: a data-driven approach.

ABSTRACT: Functional connectivity (FC) of the brain changes in various brain disorders. Its complexity, however, makes it difficult to obtain a systematic understanding of these alterations, especially when they are found individually and through hypothesis-based methods. It would be easier if the variety of brain connectivity alterations is extracted through data-driven approaches and expressed as variation modules (subnetworks). In the present study, we modified a blind approach to determine inter-group brain variations at the network level and applied it specifically to schizophrenia (SZ) disorder. The analysis is based on the application of independent component analysis (ICA) over the subject's dimension of the FC matrices, obtained from resting-state functional magnetic resonance imaging (rs-f

SUBMITTER: Keyvanfard F 

PROVIDER: S-EPMC10232974 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature