Subject-specific whole-brain parcellations of nodes and boundaries are modulated differently under 10 Hz rTMS.

ABSTRACT: Repetitive transcranial magnetic stimulation (rTMS) has gained considerable importance in the treatment of neuropsychiatric disorders, including major depression. However, it is not yet understood how rTMS alters brain's functional connectivity. Here we report changes in functional connectivity captured by resting state functional magnetic resonance imaging (rsfMRI) within the first hour after 10 Hz rTMS. We apply subject-specific parcellation schemes to detect changes (1) in network nodes, where the strongest functional connectivity of regions is observed, and (2) in network boundaries, where functional transitions between regions occur. We use support vector machine (SVM), a widely used machine learning algorithm that is robust and effective, for the classification and characterization o

SUBMITTER: Belov V 

PROVIDER: S-EPMC10400653 | biostudies-literature | 2023 Aug

REPOSITORIES: biostudies-literature