2021年至2025年脑机接口技术在脑卒中康复领域应用的文献计量分析

doi:10.3969/j.issn.1006-9771.2025.11.005

《中国康复理论与实践》 ›› 2025, Vol. 31 ›› Issue (11): 1279-1289.doi: 10.3969/j.issn.1006-9771.2025.11.005

2021年至2025年脑机接口技术在脑卒中康复领域应用的文献计量分析

蒋逸¹, 梁康¹, 楚家豪², 杨丹³, 高飞⁴, 厉含之⁴, 杜晓霞⁴()

1.浙江中医药大学附属第三医院，浙江杭州市 310015
2.宁波市康复医院，浙江宁波市 315000
3.浙江中医药大学，浙江杭州市 310053
4.中国康复研究中心北京博爱医院，北京市 100068

收稿日期:2025-09-12 修回日期:2025-10-10 出版日期:2025-11-25 发布日期:2025-11-26
通讯作者: 杜晓霞 E-mail:duxiaoxia2005@gmail.com
作者简介:蒋逸(1998-)，男，汉族，浙江衢州市人，硕士研究生，主要研究方向：神经康复。
基金资助:
浙江省中医药科技计划项目(2025ZL071)

Application of brain-computer interface technology in stroke rehabilitation from 2021 to 2025: a bibliometric analysis

JIANG Yi¹, LIANG Kang¹, CHU Jiahao², YANG Dan³, GAO Fei⁴, LI Hanzhi⁴, DU Xiaoxia⁴()

1. Third Affiliated Hospital of Zhejiang University of Traditional Chinese Medicine, Hangzhou, Zhejiang 310015, China
2. Ningbo Rehabilitation Hospital, Ningbo, Zhejiang 315000, China
3. Zhejiang University of Traditional Chinese Medicine, Hangzhou, Zhejiang 310053, China
4. Beijing Bo'ai Hospital, China Rehabilitation Research Center, Beijing 100068, China

Received:2025-09-12 Revised:2025-10-10 Published:2025-11-25 Online:2025-11-26
Contact: DU Xiaoxia E-mail:duxiaoxia2005@gmail.com
Supported by:
Zhejiang Province Traditional Chinese Medicine Science and Technology Program Project(2025ZL071)

摘要/Abstract

摘要：

目的分析近5年脑机接口技术(BCI)在脑卒中康复领域的应用趋势和研究热点。

方法检索2021年1月至2025年8月在Web of Science核心合集数据库中BCI在脑卒中康复领域研究的相关文献，采用CiteSpace 6.4.R1软件进行可视化分析。

结果共纳入458篇文献。年发文量持续保持高水平，发文量最多的国家是中国，发文量最多的机构是复旦大学和Aalborg University，发文量最多的作者是Mads R Jochumsen，被引频次最多的作者是Pfurtscheller G。brain-computer interface、motor imagery、upper limb和deep learning是领域内的高频关键词和突现词。

结论近5年BCI在脑卒中康复领域研究总体发文量保持在高水平，研究热点聚焦于BCI算法技术革新，以及通过多维度进行神经机制的验证和康复效果评估。

关键词: 脑卒中, 脑机接口, 康复, 文献计量学

Abstract:

Objective To analyze the application trends and research hotspots of brain-computer interface (BCI) technology in stroke rehabilitation over the past five years.

Methods Relevant literatures on the use of BCI in stroke rehabilitation published between January, 2021 and August, 2025 were retrieved from the Web of Science Core Collection database. CiteSpace 6.4.R1 was used for visualization analysis.

Results A total of 458 papers were included. The annual number of publications remained at a high level. China was the leading country in publication output, with Fudan University and Aalborg University as the top institutions. The most prolific author was Mads R. Jochumsen, while G. Pfurtscheller had the highest citation frequency. The keywords and burst terms with the highest frequency in this field were brain-computer interface, motor imagery, upper limb and deep learning.

Conclusion Over the past five years, research on BCI in stroke rehabilitation has maintained a high publication volume. The research hotspots focus on innovations in BCI algorithm technology and multidimensional validation of neural mechanisms and rehabilitation efficacy.

Key words: stroke, brain-computer interface, rehabilitation, bibliometrics

中图分类号:

R743.3

蒋逸, 梁康, 楚家豪, 杨丹, 高飞, 厉含之, 杜晓霞. 2021年至2025年脑机接口技术在脑卒中康复领域应用的文献计量分析[J]. 《中国康复理论与实践》, 2025, 31(11): 1279-1289.

JIANG Yi, LIANG Kang, CHU Jiahao, YANG Dan, GAO Fei, LI Hanzhi, DU Xiaoxia. Application of brain-computer interface technology in stroke rehabilitation from 2021 to 2025: a bibliometric analysis[J]. Chinese Journal of Rehabilitation Theory and Practice, 2025, 31(11): 1279-1289.

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参考文献 35

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国家	发文量/n	中心性
China	197	0.00
USA	71	0.12
England	31	0.35
Japan	28	0.06
Germany	27	0.06
South Korea	23	0.00
India	21	0.00
Canada	20	0.31
Spain	17	0.57
Brazil	17	0.31

作者	发文量/n	中心性
Mads R Jochumsen	10	0.00
关存太	7	0.01
Surjo R Soekadar	6	0.00
贾杰	6	0.00
王晶	6	0.00
陈树耿	6	0.00
Kai Keng Ang	6	0.01
Imran Khan Niazi	4	0.00
张瑞	4	0.00
Floriana Pichiorri	4	0.00

作者	频次/n	中心性
Pfurtscheller G	167	0.31
Kai Keng Ang	158	0.63
Ander Ramos-Murguialday	129	0.37
Biasiucci A	118	0.47
Floriana Pichiorri	108	0.65
Jonathan R Wolpaw	106	0.09
María A Cervera	104	0.50
Ravikiran Mane	92	0.10
Alexander A Frolov	77	0.09
Benjamin Blankertz	71	0.04

聚类号	节点数/n	轮廓值	主要关键词
#0	21	0.911	machine learning; brain asymmetry; action observation; artificial intelligence
#1	19	0.923	amyotrophic lateral sclerosis; heart rate variability; human; sensorimotor rhythms
#2	17	0.916	feature extraction; stroke (medical condition); motors; convolutional neural networks
#3	16	0.823	motor imagery; brain-computer interface; stroke rehabilitation; electroencephalography (EEG)
#4	16	0.950	functional near-infrared spectroscopy; effective connectivity; clinical translation
#5	15	0.913	motor imagery; brain-computer interface (BCI) ; brain-computer interface; stroke
#6	15	0.950	EEG; hemiparesis; systematic review; decoding; brain-computer interfaces
#7	15	0.899	neurofeedback, motor restoration, bimanual BCI-FES, delta alpha ratio
#8	13	0.871	electroencephalography (EEG), upper limb, brain-computer interface
#9	12	0.922	motor rehabilitation, functional electrical stimulation, continuous trajectory reconstruction
#10	12	0.831	neurological diseases, virtual reality, neuroscience, volitional control
#11	11	0.968	motor function, upper extremity, stroke, network calibration, robotic arm
#12	9	0.989	movement-related cortical potential, kinesthetic motor imagery, event-related desynchronization
#13	8	0.805	neuroprosthetic, gps tracking, community participation, intracortical brain-computer interfaces

2021年至2025年脑机接口技术在脑卒中康复领域应用的文献计量分析

Application of brain-computer interface technology in stroke rehabilitation from 2021 to 2025: a bibliometric analysis

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机构	发文量/n	中心性
复旦大学	14	0.18
Aalborg University	14	0.05
天津大学	12	0.00
中国科学院	12	0.28
西安交通大学	11	0.05
清华大学	11	0.25
南洋理工大学	10	0.01
Charite Universitatsmedizin Berlin	9	0.05
Free University of Berlin	9	0.05
Humboldt University of Berlin	9	0.05

关键词	频次/n	中心性
brain-computer interface	337	0.03
stroke rehabilitation	260	0.02
motor imagery	187	0.00
upper limb	104	0.06
deep learning	79	0.04
EEG	54	0.00
stimulation	36	0.04
performance	36	0.01
motor recovery	32	0.09
functional electrical stimulation	31	0.04

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