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REVIEW article
Front. Hum. Neurosci.
Sec. Brain Imaging and Stimulation
Volume 19 - 2025 | doi: 10.3389/fnhum.2025.1574721
Research hotspots and frontiers of neuromodulation technology in the last decade: a visualization analysis based on the Web of Science database
Provisionally accepted- 1 Research Center for Neural Engineering, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences (CAS), Shenzhen, China
- 2 Chengdu Sport University, Chengdu, Sichuan Province, China
- 3 Bao'an District Konghai Hospital, ShenZhen, China
Background: 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. Methods: 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. Results: 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,
Keywords: Neuromodulation, neuroplasticity, Bibliometrics, Deep Brain Stimulation, Transcranial Magnetic Stimulation
Received: 11 Feb 2025; Accepted: 31 Mar 2025.
Copyright: © 2025 Liu, Zhang, Haoran, Hui and Xiang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Wang Hui, Research Center for Neural Engineering, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences (CAS), Shenzhen, 518055, China
Yun Xiang, Bao'an District Konghai Hospital, ShenZhen, China
Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.