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Brain and Behavior
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Electroencephalography resting‐state networks in people with Stroke

Authors: Dylan B. Snyder; Brian D. Schmit; Allison S. Hyngstrom; Scott A. Beardsley;

Electroencephalography resting‐state networks in people with Stroke

Abstract

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.

Country
United States
Related Organizations
Keywords

Brain Mapping, Physical Therapy, orthogonalization, Brain, Neurosciences. Biological psychiatry. Neuropsychiatry, Electroencephalography, stroke, power, Stroke, connectivity, Humans, EEG, strok, Biomedical Engineering and Bioengineering, asymmetry, RC321-571, Original Research

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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
39
Top 10%
Top 10%
Top 10%
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gold