SYSTEMATIC REVIEW article
Front. Neurol.
Sec. Epilepsy
Volume 16 - 2025 | doi: 10.3389/fneur.2025.1593621
Bibliometric and Visualized Analysis of Current Advances and Future Directions in Epilepsy: From Molecular Basis to Therapy
Provisionally accepted
- 1Shanghai University of Medicine and Health Sciences, Shanghai, China
- 2Shanghai First Maternity and Infant Hospital, Shanghai, Shanghai Municipality, China
- 3Tongji University, Shanghai, Shanghai Municipality, China
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Purpose: Through a visual analysis of the literature on epilepsy research in the Web of Science Core Collection, this study aims to explore the molecular basis, providing a reference for scholars and professionals in related fields.Methods: The search formula is generated using the Mesh keyword list in PubMed. Subsequently, English-language literature is retrieved from the Web of Science Core Collection, with the search period set from January 1, 2015, to December 31, 2024. The study calculates the annual number of publications and citations and analyzes the trends. CiteSpace 6.2.R4 software is used to perform a visual analysis of the retrieved documents.Results: The search retrieved 1,485 articles related to molecular basis of epilepsy research, with an average annual growth rate of 14.41%. Based on the publication trend line for this period, it is predicted that approximately 208 articles will be published in this field in 2025.Conclusion: This study examines the dynamic evolution of epilepsy from molecular mechanisms to clinical treatment. Ion channel abnormalities (e.g. KCNQ2 and SCN1A mutations) and neuroinflammatory pathways have become central to basic research, guiding targeted drug design. However, gaps remain between basic research and clinical application, as discoveries like circRNA regulation and glial-neuron interactions have not yet led to effective therapies, and emerging technologies such as optogenetics and nano-drug delivery systems still require clinical validation.
Keywords: Epilepsy, ion channel, neurotransmitter, targeted therapy, Bibliometrics, visual analysis
Received: 14 Mar 2025; Accepted: 13 Jun 2025.
Copyright: © 2025 Du, Xu, Lv, Tong, Lin and Yang. 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: Yehui Lv, Shanghai University of Medicine and Health Sciences, Shanghai, 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.