EEG Based Resting State Connectivity Changes in the Motor Cortex Associated with Upper Limb Motor Recovery in the Subacute Period Post-Stroke

Document Type

Conference Proceeding

Publication Date

1-1-2022

Abstract

Stroke is a heterogeneous condition that would benefit from valid biomarkers of recovery for research and in the clinic. We evaluated the change in resting state connectivity (RSC) via electroencephalography (EEG) in motor areas, as well as motor recovery of the affected upper limb, in the subacute phase post-stroke. Fifteen participants who had sustained a subcortical stroke were included in this study. The group made significant gains in upper limb impairment as measured by the Upper Extremity Fugl-Meyer Assessment (UEFMA) from baseline to four months post-stroke (24.78 (SD 5.4)). During this time, there was a significant increase in RSC in the beta band from contralesional M1 to ipsilesional M1. We propose that this change in RSC may have contributed to the motor recovery seen in this group. Clinical Relevance - This study evaluates resting state connectivity measured via EEG as a neural biomarker of recovery post-stroke. Biomarkers can help clinicians understand the potential for recovery after stroke and thus help them to establish therapy goals and determine treatment plans.

Identifier

85138128781 (Scopus)

ISBN

[9781728127828]

Publication Title

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society EMBS

External Full Text Location

https://doi.org/10.1109/EMBC48229.2022.9870886

ISSN

1557170X

PubMed ID

36086133

First Page

4801

Last Page

4804

Volume

2022-July

Grant

90RE5021

Fund Ref

National Institutes of Health

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