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

《中国康复理论与实践》 ›› 2025, Vol. 31 ›› Issue (3): 274-286.doi: 10.3969/j.issn.1006-9771.2025.03.004

皮质肌肉耦合分析在康复医学领域应用的文献计量分析

沈俊帆¹^,², 耿阿燕¹^,², 胡文萱²^,³, 阚超杰³, 王彤¹^,²(), 郭川¹^,²()

1.南京医科大学第一附属医院，江苏南京市 210029
2.南京医科大学康复医学院，江苏南京市 210029
3.常州市德安医院，江苏常州市 213004

收稿日期:2024-11-27 修回日期:2024-12-12 出版日期:2025-03-25 发布日期:2025-03-25
通讯作者: 郭川(1988-)，男，汉族，江苏连云港市人，博士，副主任技师，主要研究方向：神经系统疾病康复治疗，E-mail：guochuan@njmu.edu.cn；王彤(1960-)，女，汉族，江苏南京市人，教授，主任医师，博士研究生导师，主要研究方向：神经系统疾病康复，E-mail：wangtong60621@163.com。
作者简介:沈俊帆(2001-)，女，汉族，福建长汀县人，硕士研究生，主要研究方向：神经系统疾病康复治疗。
基金资助:
1.国家重点研发计划项目(2023YFC3603604);2.国家自然科学基金青年项目(82302882)

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

SHEN Junfan¹^,², GENG Ayan¹^,², HU Wenxuan²^,³, KAN Chaojie³, WANG Tong¹^,²(), GUO Chuan¹^,²()

1. The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu 210029, China
2. The School of Rehabilitation Medicine, Nanjing Medical University, Nanjing, Jiangsu 210029, China
3. Changzhou De'an Hospital, Changzhou, Jiangsu 213004, China

Received:2024-11-27 Revised:2024-12-12 Published:2025-03-25 Online:2025-03-25
Contact: GUO Chuan, E-mail: guochuan@njmu.edu.cn; WANG Tong, E-mail: wangtong60621@163.com
Supported by:
National Key Research and Development Program(2023YFC3603604);National Natural Science Foundation of China (Youth)(82302882)

摘要/Abstract

摘要：

目的分析皮质肌肉耦合(CMC)领域的研究现状、发展趋势及研究热点。

方法检索自1999年至2024年Web of Science核心合集数据库中关于CMC的相关文献，采用CiteSpace 6.3R1软件对文献发文量、国家/地区、机构、作者、被引期刊、被引文献和关键词等多个维度进行综合评估，并结合关键词共现、聚类和突现词探讨研究热点和前沿动态。

结果共纳入文献447篇。CMC研究发文量总体呈波动上升趋势，2023年达峰值。发文量最多的国家是中国，但中心性和国际合作较少，德国在学术影响力上处于领先地位。Aalto University和University of London为CMC研究的学术中心；最有学术影响力的是以Mathieu Bourguignon为代表的研究团队，其研究主要集中于CMC的生理机制和运动控制应用；Journal of Physiology-London是CMC领域最具影响力的期刊。CMC研究从分子机制到系统行为，深入探索神经科学与运动科学的交叉领域，并逐渐延伸至心理学和生物学基础研究，形成了多学科交融的研究体系。高关注度的关键词包括synchronization、motor cortex和precision grip task。当前研究的热点词汇包括connectivity、reorganization和activation。预测CMC技术的发展与应用、神经系统疾病的干预治疗、脑肌交互机制与信号处理等领域将成为未来一段时间内的研究热点。

结论近年来，CMC研究取得了迅速发展，已成为运动功能评估和神经康复领域的重要方向。未来应聚焦优化CMC分析技术，提升其在脑机接口和个性化康复中的应用价值，加强跨学科合作和国际交流，进一步提高研究质量，增强全球影响力。

关键词: 皮质肌肉耦合, 康复医学, 文献计量学

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

中图分类号:

沈俊帆, 耿阿燕, 胡文萱, 阚超杰, 王彤, 郭川. 皮质肌肉耦合分析在康复医学领域应用的文献计量分析[J]. 《中国康复理论与实践》, 2025, 31(3): 274-286.

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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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	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

皮质肌肉耦合分析在康复医学领域应用的文献计量分析

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

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参考文献 43

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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	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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