4.8 Article

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

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NATURE COMMUNICATIONS
卷 13, 期 1, 页码 -

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NATURE PORTFOLIO
DOI: 10.1038/s41467-022-32304-1

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资金

  1. FLAG-ERA JTC 2017 [ANR-17-HBPR-0001]
  2. Fondazione Cassa di Risparmio di Padova e Rovigo (CARIPARO) - Ricerca Scientifica di Eccellenza 2018 [55403]
  3. European Union [945539]
  4. MIUR - Departments of Excellence Italian Ministry of Research [MART_ECCELLENZA18_01]
  5. Ministry of Health Italy Brain connectivity measured with high-density electroencephalography: a novel neurodiagnostic tool for stroke - NEUROCONN [RF-2008 -12366899]
  6. H2020 European School of Network Neuroscience - euSNN, H2020-SC5-2019-2 [869505]
  7. Agence Nationale de la Recherche (ANR) [ANR-17-HBPR-0001] Funding Source: Agence Nationale de la Recherche (ANR)

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This study provides evidence that cortical dynamics in the ultra-slow frequency range require intact cortical-subcortical communication, and that stroke patients exhibit abnormal dynamics that are associated with neurological impairment.
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. Favaretto et al. show that the brain rapidly alternates between transient connectivity patterns, with cortical regions flexibly synchronizing with two groups of subcortical regions, and that this dynamic is abnormal in stroke patients.

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