Electroencephalography resting-state networks in people with Stroke
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Updated: Nov 11, 2025
Electroencephalography Network Indices as Biomarkers of Upper Limb Impairment in Chronic Stroke
Published on: July 14, 2023
Dylan B Snyder1, Brian D Schmit1, Allison S Hyngstrom2
1Biomedical Engineering, Marquette University and Medical College of Wisconsin, Milwaukee, WI, USA.
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.
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