皮质肌肉耦合分析在康复医学领域应用的文献计量分析

doi:10.3969/j.issn.1006-9771.2025.03.004

Abstract

Abstract:

Objective To analyze the research status, development trends and hotspots in the field of corticomuscular coherence (CMC).

Methods Relevant literatures on CMC from 1999 to 2024 were retrieved from the Web of Science Core Collection. CiteSpace 6.3R1 was ued to evaluate publications across multiple dimensions, including publication volume, countries/regions, institutions, authors, cited journals, cited references and keywords. Research hotspots and frontier dynamics were identified through keyword co-occurrence, clustering and bursting.

Results A total of 447 articles were included. The overall publication trend for CMC research showed a fluctuating upward trajectory, peaking in 2023. China led in publication volume but exhibited relatively low centrality and international collaboration. Germany led the way in academic influence. Aalto University and the University of London served as academic hubs for CMC research. The most influential research team, led by Mathieu Bourguignon, focused on the physiological mechanisms and motor control applications of CMC. The Journal of Physiology - London was identified as the most impactful journal in the CMC field. CMC research spaned from molecular mechanisms to system-level behavior, delving into the interdisciplinary nexus of neuroscience and motor science while gradually extending to foundational studies in psychology and biology. High-interest keywords included synchronization, motor cortex and precision grip task. Current research hotspots encompassed connectivity, reorganization and activation. Future research was predicted to focus on advancements in CMC technology, interventions for neurological disorders, brain-muscle interaction mechanisms and signal processing.

Conclusion CMC research has rapidly progressed in recent years, becoming a pivotal direction in motor function assessment and neurorehabilitation. Future studies should focus on optimizing CMC analytical techniques to enhance their application in brain-computer interfaces and personalized rehabilitation. Additionally, interdisciplinary collaboration and international exchange should be strengthened to improve research quality and global impact.

Key words: corticomuscular coherence, rehabilitation medicine, bibliometrics

CLC Number:

SHEN Junfan, GENG Ayan, HU Wenxuan, KAN Chaojie, WANG Tong, GUO Chuan. Application of corticomuscular coherence in the field of rehabilitation medicine: a bibliometric analysis[J]. Chinese Journal of Rehabilitation Theory and Practice, 2025, 31(3): 274-286.

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References 43

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排名	国家/地区	发文量/n	中心性
1	中国	97	0.13
2	德国	85	0.34
3	美国	69	0.23
4	英国	63	0.30
5	意大利	53	0.24

排名	机构	发文量/n	中心性
1	Aalto University	33	0.38
2	University of London	20	0.24
3	Yanshan University	19	0.00
4	Hangzhou Dianzi University	18	0.00
5	Heinrich Heine University Dusseldorf	17	0.32

排名	作者	发文量/n
1	Tjitske Heida	18
2	Mathieu Bourguignon	18
3	Harri Piitulainen	15
4	Xi Xugang	13
5	Xie Ping	12

排名	期刊	频次	IF(2024)	JCR(2024)
1	Clin Neurophysiol	395	2.4	Q3
2	J Physiol-London	367	5.5	Q1
3	Neuroimage	365	4.2	Q1
4	J Neurophysiol	345	2.5	Q2
5	J Neurosci	302	4.4	Q1

排名	文献	作者	年份	被引频次
1	Corticomuscular coherence and its applications: a review^[3]	Liu等	2019	43
2	Beta-range cortical motor spectral power and corticomuscular coherence as a mechanism for effective corticospinal interaction during steady-state motor output^[11]	Kristeva等	2007	27
3	Cortico-muscular coherence is reduced acutely post-stroke and increases bilaterally during motor recovery: a pilot study^[12]	Krauth等	2019	26
4	Coupling between human brain activity and body movements: insights from non-invasive electromagnetic recordings^[13]	Bourguignon等	2019	25
5	Contributions of descending and ascending pathways to corticomuscular coherence in humans^[14]	Witham等	2011	23

Application of corticomuscular coherence in the field of rehabilitation medicine: a bibliometric analysis

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排名	关键词	频次	关键词	中心性
1	synchronization	136	motor cortex	0.16
2	motor cortex	121	cortex	0.15
3	precision grip task	82	EEG	0.12
4	sensorimotor cortex	82	precision grip task	0.11
5	oscillations	77	human brain	0.11
6	EEG	64	synchronization	0.10
7	cortex	53	oscillations	0.09
8	isometric contraction	52	isometric contraction	0.09
9	human brain	48	EMG	0.09
10	EMG	40	physiological tremor	0.09

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