Bibliometric analysis of original studies on stereoelectroencephalography from 1990 to 2023

BACKGROUND Stereoelectroencephalography (SEEG) is a minimally invasive preoperative evaluation of drug-resistant focal epilepsies. Increasing preclinical data show that SEEG has tremendous diagnostic and therapeutic value for epilepsy. There are currently many studies on SEEG. AIM To summarize the development and application of SEEG. METHODS We conducted a bibliometric analysis of research on SEEG from 2019 to 2023. We obtained publications on SEEG from the Web of Science Core Collection (WoSCC) database. Excel, VOSviewer, and CiteSpace were responsible for the analyses. A variety of bibliographic elements were collected, including annual publications, authors, countries/regions, journals, keywords, etc. RESULTS A total of 691 publications were included in this study. Professor Fabrice Bartolomei of Timone Hospital in France was the most productive and influential author in the field of SEEG, whereas the authors from the United States were the leaders in general. In addition, we found that deep learning and source localization in SEEG have been popular in recent years. CONCLUSION This study provides a comprehensive analysis of SEEG research and highlights the growing interest in SEEG and its deep learning and source localization.

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Publication Details

Journal
World Journal of Meta-Analysis
Published
2025-03-14
DOI
https://doi.org/10.13105/wjma.v13.i1.102634
Primary Topic
Epilepsy research and treatment
Type
article
Field-Weighted Citation Impact
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article

Bibliometric analysis of original studies on stereoelectroencephalography from 1990 to 2023

Weilin Yang, Wencai Jiang, Xian-Jie Zhang, Rui Zhou
World Journal of Meta-Analysis
Epilepsy research and treatment
article

Bibliometric analysis of original studies on stereoelectroencephalography from 1990 to 2023

Weilin Yang, Wencai Jiang, Xian-Jie Zhang, Rui Zhou
article en

Abstract

BACKGROUND Stereoelectroencephalography (SEEG) is a minimally invasive preoperative evaluation of drug-resistant focal epilepsies. Increasing preclinical data show that SEEG has tremendous diagnostic and therapeutic value for epilepsy. There are currently many studies on SEEG. AIM To summarize the development and application of SEEG. METHODS We conducted a bibliometric analysis of research on SEEG from 2019 to 2023. We obtained publications on SEEG from the Web of Science Core Collection (WoSCC) database. Excel, VOSviewer, and CiteSpace were responsible for the analyses. A variety of bibliographic elements were collected, including annual publications, authors, countries/regions, journals, keywords, etc. RESULTS A total of 691 publications were included in this study. Professor Fabrice Bartolomei of Timone Hospital in France was the most productive and influential author in the field of SEEG, whereas the authors from the United States were the leaders in general. In addition, we found that deep learning and source localization in SEEG have been popular in recent years. CONCLUSION This study provides a comprehensive analysis of SEEG research and highlights the growing interest in SEEG and its deep learning and source localization.

World Journal of Meta-AnalysisVol. 13(1)
Openalex Percentile: Top 94%
Epilepsy research and treatment
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