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Subcortical-cortical dynamical states of the human brain and their breakdown in stroke.


ABSTRACT: The mechanisms controlling dynamical patterns in spontaneous brain activity are poorly understood. Here, we provide evidence that cortical dynamics in the ultra-slow frequency range (<0.01-0.1 Hz) requires intact cortical-subcortical communication. Using functional magnetic resonance imaging (fMRI) at rest, we identify Dynamic Functional States (DFSs), transient but recurrent clusters of cortical and subcortical regions synchronizing at ultra-slow frequencies. We observe that shifts in cortical clusters are temporally coincident with shifts in subcortical clusters, with cortical regions flexibly synchronizing with either limbic regions (hippocampus/amygdala), or subcortical nuclei (thalamus/basal ganglia). Focal lesions induced by stroke, especially those damaging white matter connections between basal ganglia/thalamus and cortex, provoke anomalies in the fraction times, dwell times, and transitions between DFSs, causing a bias toward abnormal network integration. Dynamical anomalies observed 2 weeks after stroke recover in time and contribute to explaining neurological impairment and long-term outcome.

SUBMITTER: Favaretto C 

PROVIDER: S-EPMC9424299 | biostudies-literature | 2022 Aug

REPOSITORIES: biostudies-literature

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Subcortical-cortical dynamical states of the human brain and their breakdown in stroke.

Favaretto Chiara C   Allegra Michele M   Deco Gustavo G   Metcalf Nicholas V NV   Griffis Joseph C JC   Shulman Gordon L GL   Brovelli Andrea A   Corbetta Maurizio M  

Nature communications 20220829 1


The mechanisms controlling dynamical patterns in spontaneous brain activity are poorly understood. Here, we provide evidence that cortical dynamics in the ultra-slow frequency range (<0.01-0.1 Hz) requires intact cortical-subcortical communication. Using functional magnetic resonance imaging (fMRI) at rest, we identify Dynamic Functional States (DFSs), transient but recurrent clusters of cortical and subcortical regions synchronizing at ultra-slow frequencies. We observe that shifts in cortical  ...[more]

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