Saggar, ManishShine, James M.Liegeois, RaphaelDosenbach, Nico U. F.Fair, Damien2022-09-122022-09-122022-09-122022-08-1510.1038/s41467-022-32381-2https://infoscience.epfl.ch/handle/20.500.14299/190750WOS:000840984400011In 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 (similar to 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 landscape was dominated by a subject-specific combination of RSNs. Altogether, we revealed rules or principles that organize spontaneous brain activity using a precision dynamics approach.Multidisciplinary SciencesScience & Technology - Other Topicsfunctional connectivitypreprocessing pipelinesbrain networkstime-seriesfmriorganizationboldfluctuationsregistrationresponsestext::journal::journal article::research article