Deep brain stimulation and Parkinson disease: a bibliometric and visual analysis (1993–2023)

• Published in: Neurosurgical review 2025-01, Vol.48 (1), p.24, Article 24
• Main Authors: Abdallat, Mahmoud, Abumurad, Sumayyah K., Tarazi, Alaa, Ammar, Abdullah, Zyoud, Muntaser Al, AlMomani, Dana
• Format: Article
• Language: English
• Subjects: Bibliometrics; Deep Brain Stimulation - methods; Deep Brain Stimulation - trends; Humans; Medicine; Medicine & Public Health; Neurosurgery; Parkinson Disease - diagnosis; Parkinson Disease - therapy; Review
• ISSN: 1437-2320; 1437-2320
• DOI: 10.1007/s10143-025-03178-w

Deep brain stimulation (DBS) effectively treats Parkinson’s disease (PD) motor symptoms, highlighting a gap in understanding current research trends and future directions. This study aims to analyze DBS literature systematically using bibliometric methods to map trends and identify opportunities. A total of 6,041 publications on DBS for PD from 1993 to 2023 were retrieved from the Web of Science Core Collection (WoSCC) on July 24, 2023. A total of 3,518 documents were recorded at last. Microsoft Office Excel, CiteSpace, and VOSviewer were then used to carry out a scientometric analysis of the relevant literature according to seven bibliometric indicators: document type, countries/regions, institutions, authors, journals, most cited articles, and keywords. Research publications have significantly increased over the past three decades, especially after 2010. The United States, Germany, and France contributed the most research. Prolific authors included Okun, Lozano, and Moro. Udice-French Research Universities stands out among the many institutions. Movement Disorders led in both publication volume and citations. Highly-cited papers evaluated DBS comparisons and its effects on motor/non-motor symptoms. Key research areas included basal ganglia oscillations, cognitive effects, cost-effectiveness, and non-motor symptoms. This bibliometric analysis provides insights into the evolving DBS research landscape for PD, identifying key contributors, research gaps, and future directions. It aims to advance knowledge and improve patient outcomes and quality of life.