近10年脑机接口技术用于神经康复领域的可视化分析

A Visualization Analysis of Brain-Computer Interface Applications in Neurorehabilitation for the Last Decade

摘要: 目的：对近10年脑机接口技术用于神经康复领域的研究进行可视化分析，系统梳理领域研究现状，识别研究热点并预测其演变趋势，为领域后续发展提供数据支撑。方法：检索中国知网与Web of Science核心合集中近10年脑机接口技术用于神经康复领域的相关文献，通过Citespace 6.4.R1、VOSviewer 1.6.20软件，绘制并分析解读发文量、国家/地区、机构、作者、关键词、研究领域、共被引等维度的可视化图谱。结果：共纳入1333篇文献，其中中文168篇、英文1165篇。该领域国内外年发文量均呈快速增长趋势，研究热度持续攀升。英文文献中，中国的发文量最高，但美国国际合作强度最高，中国需加强产出质量与国际合作。该领域最有影响力的机构是德国图宾根大学(Univ Tubingen)，国内西安交通大学、中国科学院等6所机构进入发文量前10，但篇均被引与合作强度普遍偏低；作者层面，图宾根大学Niels Birbaumer教授发文量最高，国内作者间合作存在地域限制，缺乏高影响力学术团体。研究热点以脑卒中、运动想象与脑电图等为核心。结论：脑机接口用于神经康复的前景广阔，未来研究趋势可能会向康复场景精细化、深度融合人工智能等方向发展。

Abstract: Objective: To analyze the use of brain-computer interface technology in the field of neurorehabilitation in the last decade; systematically review the current state of research in the field; identify research hotspots and predict their evolutionary trends to provide data support for subsequent development in the field. Methods: Retrieving relevant literature from the CNKI and Web of Science Core Collection over the past decade concerning the application of brain-computer interface technology in the field of neurorehabilitation. Using Citespace 6.4.R1 and VOSviewer 1.6.20 software, we generated and analyzed visualization maps across dimensions including publication volume, country/region, institution, author, keywords, research field, and co-citations. Results: A total of 1333 documents were included, comprising 168 in Chinese and 1165 in English. Both domestic and international publications in this field are experiencing rapid annual growth, with research activity continuing to intensify. In English-language literature, China has the highest volume of publications, but the United States leads in international collaboration intensity. China needs to enhance both the quality of its research outputs and its international cooperation efforts. The most influential institution in this field is the University of Tubingen. Six domestic institutions, including Xi’an Jiaotong University and the Chinese Academy of Sciences, ranked among the top 10 in publication volume, but their average citations per paper and collaborative intensity remained generally low. Among the authors, Professor Niels Birbaumer of the University of Tubingen has the highest number of posts. Collaboration among domestic authors faces geographical constraints and lacks high-impact academic networks. Key terms centered on stroke, motor imagery, and electroencephalogram (EEG). Conclusion: Brain-computer interfaces hold great promise for neural rehabilitation. Future research trends may evolve toward greater refinement in rehabilitation scenarios and deeper integration with artificial intelligence.