Open AccessElectroencephalography resting‐state networks in people with Stroke
Author(s) -
Snyder Dylan B.,
Schmit Brian D.,
Hyngstrom Allison S.,
Beardsley Scott A.
Publication year - 2021
Publication title -
brain and behavior
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.915
H-Index - 41
ISSN - 2162-3279
DOI - 10.1002/brb3.2097
Subject(s) - electroencephalography , stroke (engine) , resting state fmri , alpha (finance) , lateralization of brain function , functional connectivity , neuroscience , brain activity and meditation , psychology , medicine , cardiology , developmental psychology , physics , construct validity , thermodynamics , psychometrics
Abstract Introduction The purpose of this study was to characterize resting‐state cortical networks in chronic stroke survivors using electroencephalography (EEG). Methods Electroencephalography data were collected from 14 chronic stroke and 11 neurologically intact participants while they were in a relaxed, resting state. EEG power was normalized to reduce bias and used as an indicator of network activity. Correlations of orthogonalized EEG activity were used as a measure of functional connectivity between cortical regions. Results We found reduced cortical activity and connectivity in the alpha ( p < .05; p = .05) and beta ( p < .05; p = .03) bands after stroke while connectivity in the gamma ( p = .031) band increased. Asymmetries, driven by a reduction in the lesioned hemisphere, were also noted in cortical activity ( p = .001) after stroke. Conclusion These findings suggest that stroke lesions cause a network alteration to more local (higher frequency), asymmetric networks. Understanding changes in cortical networks after stroke could be combined with controllability models to identify (and target) alternate brain network states that reduce functional impairment.