Change in EEG-EMG synchronization reflecting abnormal functional corticomuscular coupling following stroke: A pilot study

Stroke is a common clinical cardiovascular and cerebrovascular disease, which can cause severe motor dysfunction. Therefore, it is an important topic to investigate the abnormality mechanism of the cerebral cortex and the corresponding muscles after stroke. In this study, we investigated the functional corticomuscular coupling (FCMC) at specific frequencies by analyzing differences between stroke patients and healthy controls in hand movements. The transfer spectral entropy (TSE) method was used to analyze simultaneous electroencephalography (EEG) and electromyography (EMG) in the right-hand steady state force task. The results illustrated that healthy subjects had the highest TSE values at the beta band in the EMG→EEG and EEG→EMG directions, and the TSE value in the EEG→EMG direction was higher than that in the EMG→EEG direction. In contrast, for stroke patients, beta band coupling was weakened, and there was a notably higher enhancement of alpha and gamma bands in the EMG→EEG direction relative to the EEG→EMG direction. Further analysis found significant correlations between TSE area values at beta2 and gamma2 bands and clinical rating scales. This study demonstrates the frequency specificity properties of FCMC estimated by TSE can assess the rehabilitation status of stroke patients and contribute to our comprehension of the potential mechanism of motor control systems. • Stroke patients yield weaker β and stronger α/γ FCMC from brain to muscle. • FCMC at β2 and γ2 bands show correlations with clinical scales for stroke. • High beta-range FCMC can reflect abnormal movement control mechanisms.

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Publication Details

Journal
Medicine in Novel Technology and Devices
Published
2024-10-18
DOI
https://doi.org/10.1016/j.medntd.2024.100335
Citations
3
Primary Topic
Functional Brain Connectivity Studies
Type
article
Field-Weighted Citation Impact
1.03
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article

Change in EEG-EMG synchronization reflecting abnormal functional corticomuscular coupling following stroke: A pilot study

Yinan Yang, Yingying Hao, Ping Xie, Xiaoling Chen et al.
3 citations
Medicine in Novel Technology and Devices
Functional Brain Connectivity Studies
1.03
article

Change in EEG-EMG synchronization reflecting abnormal functional corticomuscular coupling following stroke: A pilot study

Yinan Yang, Yingying Hao, Ping Xie, Xiaoling Chen, Ying Liu, Jinyuan Zhang
article en
3 citations

Abstract

Stroke is a common clinical cardiovascular and cerebrovascular disease, which can cause severe motor dysfunction. Therefore, it is an important topic to investigate the abnormality mechanism of the cerebral cortex and the corresponding muscles after stroke. In this study, we investigated the functional corticomuscular coupling (FCMC) at specific frequencies by analyzing differences between stroke patients and healthy controls in hand movements. The transfer spectral entropy (TSE) method was used to analyze simultaneous electroencephalography (EEG) and electromyography (EMG) in the right-hand steady state force task. The results illustrated that healthy subjects had the highest TSE values at the beta band in the EMG→EEG and EEG→EMG directions, and the TSE value in the EEG→EMG direction was higher than that in the EMG→EEG direction. In contrast, for stroke patients, beta band coupling was weakened, and there was a notably higher enhancement of alpha and gamma bands in the EMG→EEG direction relative to the EEG→EMG direction. Further analysis found significant correlations between TSE area values at beta2 and gamma2 bands and clinical rating scales. This study demonstrates the frequency specificity properties of FCMC estimated by TSE can assess the rehabilitation status of stroke patients and contribute to our comprehension of the potential mechanism of motor control systems. • Stroke patients yield weaker β and stronger α/γ FCMC from brain to muscle. • FCMC at β2 and γ2 bands show correlations with clinical scales for stroke. • High beta-range FCMC can reflect abnormal movement control mechanisms.

Medicine in Novel Technology and DevicesVol. 24
Yanshan University (CN), First Hospital of Qinhuangdao (CN)
Openalex Percentile: Top 24%
Functional Brain Connectivity Studies
1.03
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