Resting-State Electroencephalogram Microstate and Correlations with Motor Function and Balance in Chronic Stroke

<b>Objective:</b> This study aimed to compare electroencephalogram microstates of patients with chronic stroke to healthy subjects and correlated microstates with clinical and functional characteristics in stroke. <b>Methods:</b> This cross-sectional, exploratory and correlational study was performed with chronic stroke patients (n = 27) and healthy subjects (n = 27) matched for age and gender. We recorded electroencephalography microstates using 32 channels during eyes-closed and eyes-open conditions and analyzed the four classic microstates maps (A, B, C, D). Post-stroke participants were assessed using the modified Rankin Scale and the Fugl-Meyer Scale. All participants were assessed for cognitive function, fear of falling, and static balance. Student's t-test was used to compare groups and Pearson's correlation coefficient was used to assess correlations between microstates parameters and stroke-related clinical outcomes. <b>Results:</b> In the eyes-open condition, moderate correlations were observed between the duration of microstate C and functional disability. In the eyes-closed condition, moderate correlations were observed between the coverage of microstate C, the occurrence of microstate C and D, and the duration of microstate B with functional aspects (eg, lower limb motor function, balance, functional disability, and fear of falling). <b>Conclusions:</b> Changes in microstates and correlations between topographies and clinical and functional aspects suggest that electroencephalogram could be used as a biomarker in stroke patients.

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Publication Details

Journal
Clinical EEG and Neuroscience
Published
2025-02-03
DOI
https://doi.org/10.1177/15500594251317751
Primary Topic
EEG and Brain-Computer Interfaces
Type
article
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article

Resting-State Electroencephalogram Microstate and Correlations with Motor Function and Balance in Chronic Stroke

Daniel Gomes da Silva Machado, José Jamacy de Almeida Ferreira, Suellen Marinho Andrade, Letícia Maria Silva et al.
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Clinical EEG and Neuroscience
EEG and Brain-Computer Interfaces
article

Resting-State Electroencephalogram Microstate and Correlations with Motor Function and Balance in Chronic Stroke

Daniel Gomes da Silva Machado, José Jamacy de Almeida Ferreira, Suellen Marinho Andrade, Letícia Maria Silva, Verônica Calado, José Maurício Ramos de Souza Neto, Eliene Letícia da Silva Bezerra, Eloise de Oliveira Lima, Rebeca Andrade Laurentino
article en

Abstract

<b>Objective:</b> This study aimed to compare electroencephalogram microstates of patients with chronic stroke to healthy subjects and correlated microstates with clinical and functional characteristics in stroke. <b>Methods:</b> This cross-sectional, exploratory and correlational study was performed with chronic stroke patients (n = 27) and healthy subjects (n = 27) matched for age and gender. We recorded electroencephalography microstates using 32 channels during eyes-closed and eyes-open conditions and analyzed the four classic microstates maps (A, B, C, D). Post-stroke participants were assessed using the modified Rankin Scale and the Fugl-Meyer Scale. All participants were assessed for cognitive function, fear of falling, and static balance. Student's t-test was used to compare groups and Pearson's correlation coefficient was used to assess correlations between microstates parameters and stroke-related clinical outcomes. <b>Results:</b> In the eyes-open condition, moderate correlations were observed between the duration of microstate C and functional disability. In the eyes-closed condition, moderate correlations were observed between the coverage of microstate C, the occurrence of microstate C and D, and the duration of microstate B with functional aspects (eg, lower limb motor function, balance, functional disability, and fear of falling). <b>Conclusions:</b> Changes in microstates and correlations between topographies and clinical and functional aspects suggest that electroencephalogram could be used as a biomarker in stroke patients.

Clinical EEG and NeuroscienceVol. 57(1)
Universidade Federal da Paraíba (BR), Universidade Federal do Rio Grande do Norte (BR)
Openalex Percentile: Top 98%
EEG and Brain-Computer Interfaces
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