| 黄桂兰,蒋丽琪,卞丽丽,等.脑机接口技术应用于脑卒中运动康复领域之研究热点与趋势的可视化分析[J].中华物理医学与康复杂志,2026,48(7):606-611 |
| 脑机接口技术应用于脑卒中运动康复领域之研究热点与趋势的可视化分析 |
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| DOI：10.3760/cma.j.cn421666-20250423-00360 |
| 中文关键词: 脑机接口 脑卒中 运动功能 康复 可视化分析 |
| 英文关键词: Brain-computer interfaces Stroke Motor function Visual analysis |
| 基金项目:无锡市卫生健康委青年项目(Q202414，T202525)；无锡市卫生健康委中青年拔尖人才资助计划(BJ2023083) |
| 作者 | 单位 | | 黄桂兰 | 无锡市中心康复医院,江南大学无锡市医学院附属无锡市精神卫生中心,无锡 214151 | | 蒋丽琪 | 无锡市中心康复医院,江南大学无锡市医学院附属无锡市精神卫生中心,无锡 214151 | | 卞丽丽 | 无锡市中心康复医院,江南大学无锡市医学院附属无锡市精神卫生中心,无锡 214151 | | 易摧龙 | 无锡市中心康复医院,江南大学无锡市医学院附属无锡市精神卫生中心,无锡 214151 | | 周雅萍 | 无锡市中心康复医院,江南大学无锡市医学院附属无锡市精神卫生中心,无锡 214151 | | 任彩丽 | 无锡市中心康复医院,江南大学无锡市医学院附属无锡市精神卫生中心,无锡 214151 |
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| 中文摘要: |
| 目的 分析近20年来脑机接口（BCI）技术在脑卒中运动功能康复领域的研究热点与发展趋势。 方法 检索2006年至2025年期间有关“脑机接口”与“脑卒中运动功能恢复”的英文文献，采用CiteSpace软件对发文量变化趋势、国家和机构合作网络、作者群体、关键词共现与聚类以及突现词等进行可视化分析。 结果 共纳入相关文献498篇。年发文量总体呈快速增长趋势，尤其在2014年后发文量显著增多。美国在发文量及合作影响力方面均具首位，中国发文量排名靠前但国际合作有待加强。主要的高产机构包括德国图宾根大学及其附属医院、新加坡A*STAR研究机构、中国复旦大学等；主要的高产作者以Niels Birbaumer等为代表，并形成了稳定的研究团队。高频关键词包括“脑机接口”、“运动康复”、“脑卒中”、“运动想象”等。聚类分析揭示了BCI研究的多个专题方向，如运动想象BCI训练优化、BCI与其他康复技术（如虚拟现实、电刺激、机器人等）的融合应用等，反映了相关研究正由机制探索向临床验证转变，并由单一技术向多技术集成拓展。突现词分析显示“下肢康复”、“功能性近红外光谱技术”等是近年来的新兴热点。 结论 近20年来BCI技术在脑卒中运动康复领域中的应用持续升温，已形成以运动想象为核心，融合脑刺激、康复机器人及虚拟现实等多技术的研究格局。“BCI+X”模式已成为重要发展趋势，未来下肢BCI、多模态融合及相关神经可塑性机制将是重要研究方向。 |
| 英文摘要: |
| Objective To identify important research and trends over the past two decades in the development of brain-computer interface (BCI) technology as it applies to post-stroke motor rehabilitation. Methods English literature related to BCI technology and post-stroke motor recovery published between 2006 and 2025 was reviewed. CiteSpace software was employed to conduct a visual analysis of publication trends, national and institutional collaboration networks, author clusters, keyword co-occurrence and clustering, and burst terms. Results A total of 498 articles were included. The annual publication volume grew rapidly over the period, particularly after 2014. The United States ranked first in both publication output and collaborative influence. China ranked high in publication volume but requires strengthened international cooperation. Major high-productivity institutions included the University of Tübingen and its affiliated hospitals, the Agency for Science, Technology and Research (A*STAR) in Singapore, and Fudan University in China. Prominent authors (e.g. Niels Birbaumer) have formed stable research teams. High-frequency keywords included "brain-computer interface", "motor rehabilitation", "stroke" and "motor imagery". Cluster analysis revealed themes such as the optimization of motor imagery in BCI training and the application of BCI integrated with other rehabilitation technologies (e.g. virtual reality, electrical stimulation or robotics). This reflected a shift from the exploration of mechanisms to clinical validation, and an expansion from single-technology approaches to multi-technology integration. Burst term analysis indicated that "lower-limb rehabilitation" and "functional near-infrared spectroscopy" have been active topics in recent years. Conclusions BCI research in stroke rehabilitation has expanded substantially, evolving toward a multimodal "BCI+X" paradigm integrating robotics, stimulation and virtual reality. Future directions can be expected to include lower-limb applications, multimodal systems, and studies of neuroplasticity′s mechanisms. |
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