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REVIEW article

Front. Aging Neurosci.
Sec. Parkinson’s Disease and Aging-related Movement Disorders
Volume 16 - 2024 | doi: 10.3389/fnagi.2024.1413074
This article is part of the Research Topic An Interdisciplinary Approach Towards a Greater Understanding of Parkinson's Disease View all 6 articles

Deep Brain Stimulation for Parkinson's Disease: Bibliometric Analysis of the Top 100 Cited Literature

Provisionally accepted
Wei-Jie Zhao Wei-Jie Zhao 1Xinxin77 Shao Xinxin77 Shao 1Zi-Yue Wang Zi-Yue Wang 1Chuanhao Mi Chuanhao Mi 1Yu Wang Yu Wang 2Xiang-Hua Qi Xiang-Hua Qi 3Xiao Ding Xiao Ding 3*
  • 1 First College of Clinical Medicine, Shandong University of Traditional Chinese Medicine, Jinan, Shandong Province, China
  • 2 College of Chinese Medicine, Shandong University of Traditional Chinese Medicine, Jinan, Shandong Province, China
  • 3 Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, China

The final, formatted version of the article will be published soon.

    Background：Deep Brain Stimulation (DBS) has been widely applied and accepted in the treatment of neurological and psychiatric disorders. Despite numerous studies exploring the effects of DBS on the progression of neurodegenerative diseases and the treatment of advanced Parkinson's disease (PD) , there is a limited number of articles summarizing this research. The purpose of this study is to investigate the current trends, hot topics, and potential in research surrounding DBS therapy for PD, as well as to anticipate the challenges of such research. Methods： We searched the Web of Science Core Collection database (WoSCC) for DBS research literature related to PD published from January 2014 to January 2024, utilized CiteSpace, VOS viewer, the bibliometric online analysis platform, Scimago Graphica, Microsoft Excel 2021, and R software version 4.2.3 for data analysis. And we conducted quantitative research on publications, citations, journals, authors, countries, institutions, keywords, and references, visualized the results in network graphs. Results： From 2014 to 2024, papers from 39 journals from 11 countries were among the top 100 cited. Most papers were published in Neurology, with the highest average citations per paper in Nature Neuroscience. The United States (US) contributed the most publications, followed by the United Kingdom (UK) and Germany. In terms of total publications, University College London (UCL) contributed the most papers. The primary classifications of articles were Clinical Neurology, Neurosciences, and Surgery. The top five keywords were subthalamic nucleus, DBS, PD, medical therapy, and basal ganglia. Cluster analysis indicates that DBS research focus on improving quality of life and applying computational models. Conclusion： Through bibliometric analysis, researchers could quickly and clearly understand the hotspots and boundaries of their research field, thus guiding their research direction and scope to improve research efficiency and the quality of outcomes. Although studies indicate that DBS is currently a crucial method for treating advanced PD, in the long run, creating a personalized, low-cost treatment regimen with precise targeting and long-term efficacy poses a challenge.

    Keywords: Deep Brain Stimulation1, Parkinson's disease2, bibliometrics3, research trends4, visualized study5, top-cited6

    Received: 06 Apr 2024; Accepted: 27 Sep 2024.

    Copyright: © 2024 Zhao, Shao, Wang, Mi, Wang, Qi and Ding. 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: Xiao Ding, Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, 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.