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.

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.

Details

Title
Subcortical-cortical dynamical states of the human brain and their breakdown in stroke
Author
Favaretto, Chiara 1   VIAFID ORCID Logo  ; Allegra, Michele 2 ; Deco, Gustavo 3   VIAFID ORCID Logo  ; Metcalf, Nicholas V. 4 ; Griffis, Joseph C. 4 ; Shulman, Gordon L. 5 ; Brovelli, Andrea 6   VIAFID ORCID Logo  ; Corbetta, Maurizio 7   VIAFID ORCID Logo 

 University of Padova, Padova Neuroscience Center (PNC), Padova, Italy (GRID:grid.5608.b) (ISNI:0000 0004 1757 3470); University of Padova, Department of Neuroscience (DNS), Padova, Italy (GRID:grid.5608.b) (ISNI:0000 0004 1757 3470) 
 University of Padova, Padova Neuroscience Center (PNC), Padova, Italy (GRID:grid.5608.b) (ISNI:0000 0004 1757 3470); University of Padova, Department of Physics and Astronomy “Galileo Galilei”, Padova, Italy (GRID:grid.5608.b) (ISNI:0000 0004 1757 3470); Aix Marseille Université, CNRS, Institut de Neurosciences de la Timone UMR 7289, Marseille, France (GRID:grid.5399.6) (ISNI:0000 0001 2176 4817) 
 Pompeu Fabra University, Edifici Mercè Rodoreda, Center for Brain and Cognition (CBC), Department of Information Technologies and Communications (DTIC), Barcelona, Spain (GRID:grid.5612.0) (ISNI:0000 0001 2172 2676); Passeig Lluis Companys 23, Institució Catalana de Recerca I Estudis Avançats (ICREA), Barcelona, Spain (GRID:grid.425902.8) (ISNI:0000 0000 9601 989X) 
 Washington University School of Medicine, Department of Neurology, St. Louis, USA (GRID:grid.4367.6) (ISNI:0000 0001 2355 7002) 
 Washington University School of Medicine, Department of Neurology, St. Louis, USA (GRID:grid.4367.6) (ISNI:0000 0001 2355 7002); Washington University School of Medicine, Department of Radiology, St. Louis, USA (GRID:grid.4367.6) (ISNI:0000 0001 2355 7002) 
 Aix Marseille Université, CNRS, Institut de Neurosciences de la Timone UMR 7289, Marseille, France (GRID:grid.5399.6) (ISNI:0000 0001 2176 4817) 
 University of Padova, Padova Neuroscience Center (PNC), Padova, Italy (GRID:grid.5608.b) (ISNI:0000 0004 1757 3470); University of Padova, Department of Neuroscience (DNS), Padova, Italy (GRID:grid.5608.b) (ISNI:0000 0004 1757 3470); Washington University School of Medicine, Department of Neurology, St. Louis, USA (GRID:grid.4367.6) (ISNI:0000 0001 2355 7002); Washington University School of Medicine, Department of Radiology, St. Louis, USA (GRID:grid.4367.6) (ISNI:0000 0001 2355 7002); Biomedical Foundation, VIMM, Venetian Institute of Molecular Medicine (VIMM), Padova, Italy (GRID:grid.490747.9) 
Publication year
2022
Publication date
2022
Publisher
Nature Publishing Group
e-ISSN
20411723
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2707731854
Copyright
© The Author(s) 2022. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.