Corticomuscular Coupling During Upper Limb Multijoint Composite Movement: A Multichannel EEG and EMG Study

The upper limb movement control involves the coordinated motion of multiple joints, including the shoulder, elbow, and wrist, and encompasses complex brain–limb neural interactions. This study explored the relationship between the brain and muscles during such tasks from the perspective of corticomuscular coupling. Employing the multivariate global synchronization index, we measured the coupling of multichannel electroencephalogram (EEG) and electromyography (EMG) signals during different stages of a right upper limb multijoint composite motion in healthy subjects. Our findings reveal that significant differences in beta band coupling were observed between different muscles and the brain during the ipsilateral task. Additionally, dynamic forces during coordination tasks exhibited significantly higher global synchronization indices compared to static tasks. Furthermore, the ratio of global synchronization index between the brain and proximal and distal muscle groups is stronger during static tasks than that in dynamic tasks. These findings deepen our understanding of the brain–limb interaction mechanisms during multijoint composite motion and provide opportunities to explore differences in muscle group interactions.

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Publication Details

Journal
IEEE Sensors Journal
Published
2025-02-10
DOI
https://doi.org/10.1109/jsen.2025.3538008
Citations
2
Primary Topic
Muscle activation and electromyography studies
Type
article
Field-Weighted Citation Impact
1.35

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article

Corticomuscular Coupling During Upper Limb Multijoint Composite Movement: A Multichannel EEG and EMG Study

Yingying Hao, Ping Xie, Gengsheng Mao, Xiaoling Chen et al.
2 citations
IEEE Sensors Journal
Muscle activation and electromyography studies
1.35
article

Corticomuscular Coupling During Upper Limb Multijoint Composite Movement: A Multichannel EEG and EMG Study

Yingying Hao, Ping Xie, Gengsheng Mao, Xiaoling Chen, Juan Wang, Tingting Shen, Jinyuan Zhang
article en
2 citations

Abstract

The upper limb movement control involves the coordinated motion of multiple joints, including the shoulder, elbow, and wrist, and encompasses complex brain–limb neural interactions. This study explored the relationship between the brain and muscles during such tasks from the perspective of corticomuscular coupling. Employing the multivariate global synchronization index, we measured the coupling of multichannel electroencephalogram (EEG) and electromyography (EMG) signals during different stages of a right upper limb multijoint composite motion in healthy subjects. Our findings reveal that significant differences in beta band coupling were observed between different muscles and the brain during the ipsilateral task. Additionally, dynamic forces during coordination tasks exhibited significantly higher global synchronization indices compared to static tasks. Furthermore, the ratio of global synchronization index between the brain and proximal and distal muscle groups is stronger during static tasks than that in dynamic tasks. These findings deepen our understanding of the brain–limb interaction mechanisms during multijoint composite motion and provide opportunities to explore differences in muscle group interactions.

IEEE Sensors JournalVol. 25(6)
Chinese PLA General Hospital (CN), Yanshan University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 22%
Muscle activation and electromyography studies
1.35
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Corticomuscular Coupling During Upper Limb Multijoint Composite Movement: A Multichannel EEG and EMG Study — Yingying Hao, Ping Xie, et al. · IEEE Sensors Journal (2025) | TGRS Research Map | TGRS