Precision dynamical mapping using topological data analysis reveals a hub-like transition state at rest.

ABSTRACT: In the absence of external stimuli, neural activity continuously evolves from one configuration to another. Whether these transitions or explorations follow some underlying arrangement or lack a predictable ordered plan remains to be determined. Here, using fMRI data from highly sampled individuals (~5 hours of resting-state data per individual), we aimed to reveal the rules that govern transitions in brain activity at rest. Our Topological Data Analysis based Mapper approach characterized a highly visited transition state of the brain that acts as a switch between different neural configurations to organize the spontaneous brain activity. Further, while the transition state was characterized by a uniform representation of canonical resting-state networks (RSNs), the periphery of the lands

SUBMITTER: Saggar M 

PROVIDER: S-EPMC9378660 | biostudies-literature | 2022 Aug

REPOSITORIES: biostudies-literature