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作 者:Wei-Lin Yang Rui Zhou Xian-Jie Zhang Wen-Cai Jiang
机构地区:[1]Department of Anesthesiology,Deyang People’s Hospital,Deyang 618000,Sichuan Province,China [2]Department of Anesthesiology and Perioperative Medicine,Shanghai Fourth People's Hospital,School of Medicine,Tongji University,Shanghai 200434,China
出 处:《World Journal of Meta-Analysis》2025年第1期57-66,共10页世界荟萃分析杂志(英文)
摘 要: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.
关 键 词:Stereoelectroencephalography NEUROLOGY Bibliometric analysis Science Core Collection VOSviewer CITESPACE
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