Liu Yanpei, Zhang Qian, Zhang Haoran, Xiang Yun, Wang Hui
Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, Guangdong, China.
School of Sports Medicine and Health, Chengdu Sport University, Chengdu, Sichuan, China.
Front Hum Neurosci. 2025 Apr 11;19:1574721. doi: 10.3389/fnhum.2025.1574721. eCollection 2025.
Since the 1990s, neuromodulation technology has experienced rapid advancements, providing new therapeutic approaches for clinical rehabilitation in neurological disorders. The objective of this study is to utilize CiteSpace and VOSviewer to investigate the current research status, key topics, and future trends in the field of neuromodulation technology over the past decade.
Relevant literature in the field of neuromodulation technology published in Web of Science database from January 1, 2014 to June 18, 2024 were retrieved, and imported into CiteSpace and VOSviewer for visualization. VOSviewer was used for counties, institutions, authors and keywords analyses. CiteSpace was used for presentation visualization analysis of co-cited references, keywords clusters and bursts.
This study encompasses a total of 1,348 relevant publications, with the number of publications showing an increasing trend year by year. The most significant growth was observed between 2020 and 2021. The United States, China and the United Kingdom are the three leading countries with high output in this regard. The top three institutions in terms of the publication volume are Harvard Medical School, the University of Toronto and Stanford University. Keyword co-occurrence and cluster analysis identified that deep brain stimulation, transcranial magnetic stimulation, transcranial direct current stimulation, and focused ultrasound stimulation are the most widely used central nerve stimulation techniques in neuromodulation. The treatment of intractable chronic pain also emerged as a key focus within neuromodulation techniques. The recent keywords bursts included terms such as recovery, movement, nucleus, modeling and plasticity, suggesting that the future research trend will be centered on these areas.
In conclusion, neuromodulation technology is garnering increasing attention from researchers and is currently widely used in brain diseases. Future research is expected to delve deeper, particularly into exploring deep brain structure stimulation targets and restoring motor function based on neuroplasticity theory.
自20世纪90年代以来,神经调节技术取得了快速进展,为神经系统疾病的临床康复提供了新的治疗方法。本研究的目的是利用CiteSpace和VOSviewer来调查过去十年神经调节技术领域的当前研究现状、关键主题和未来趋势。
检索2014年1月1日至2024年6月18日在Web of Science数据库中发表的神经调节技术领域的相关文献,并导入CiteSpace和VOSviewer进行可视化分析。VOSviewer用于国家、机构、作者和关键词分析。CiteSpace用于共被引参考文献、关键词聚类和突现的呈现可视化分析。
本研究共纳入1348篇相关出版物,出版物数量呈逐年上升趋势。2020年至2021年期间增长最为显著。美国、中国和英国是该领域产出较高的三个主要国家。发表量排名前三的机构是哈佛医学院、多伦多大学和斯坦福大学。关键词共现和聚类分析确定,深部脑刺激、经颅磁刺激、经颅直流电刺激和聚焦超声刺激是神经调节中使用最广泛的中枢神经刺激技术。顽固性慢性疼痛的治疗也成为神经调节技术中的一个关键焦点。最近的关键词突现包括恢复、运动、核、建模和可塑性等术语,表明未来的研究趋势将围绕这些领域展开。
总之,神经调节技术越来越受到研究人员的关注,目前广泛应用于脑部疾病。未来的研究有望更深入,特别是探索深部脑结构刺激靶点,并基于神经可塑性理论恢复运动功能。