基于Web of Science的抑郁症与脑胶质淋巴 系统相关文献的可视化分析
Visual Analysis of Literature Related to the Glymphatic System in Depression Based on Web of Science
DOI: 10.12677/acm.2026.163802, PDF,    科研立项经费支持
作者: 张福哲：华北理工大学心理与精神卫生学院，河北 唐山
关键词: 脑胶质淋巴系统；抑郁症；文献计量学；可视化分析；Glymphatic System； Depression； Bibliometrics； Visual Analysis
摘要: 目的：探讨抑郁症领域中脑胶质淋巴系统的研究现状和热点。方法：收集Web of Science中检索得到的抑郁症与脑胶质淋巴系统的相关文献(时间范围：2015年~2025年)。使用VOSviewer和CiteSpace对文献的国家、机构、作者、期刊、共被引分析、关键词等进行可视化分析。结果：本研究共纳入111篇相关文献；发文量最多的国家是中国，其次是美国；发文量最多的机构为南京医科大学；文献发表最多的是期刊《Journal of Affective Disorders》，期刊共引最多的是《Journal of Neuroscience》；作者共被引上，个人贡献最大的是Jeffrey J. Iliff教授；关键词聚类分析提示研究主要聚集于水通道蛋白4 (AQP4)、睡眠和青少年，研究热点聚集于脑胶质淋巴系统功能。结论：目前该领域的研究热度总体呈增长趋势，研究热点集中于脑胶质淋巴系统功能，卵圆孔未闭、血脑屏障和三叉神经血管是未来的研究热点。
Abstract: Objective: To investigate the research landscape and hotspots regarding the glymphatic system in the field of depression. Methods: Relevant literature on depression and the glymphatic system was retrieved from the Web of Science database (time range: 2015~2025). Visualization analyses of countries, institutions, authors, journals, co-citation networks, and keywords were conducted using VOSviewer and CiteSpace. Results: A total of 111 relevant publications were included. The country with the highest publication output was China, followed by the United States. The most prolific institution was Nanjing Medical University. The journal with the most publications was the Journal of Affective Disorders, while the most co-cited journal was the Journal of Neuroscience. In author co-citation analysis, Professor Jeffrey J. Iliff contributed the most frequently cited work. Keyword clustering analysis revealed that research primarily focuses on aquaporin-4 (AQP4), sleep, and adolescents, with current hotspots concentrated on glymphatic system function. Conclusion: Research activity in this field has generally shown an increasing trend. Current research focuses predominantly on glymphatic system function, while patent foramen ovale, the blood-brain barrier, and the trigeminovascular system represent promising directions for future investigation.
文章引用：张福哲. 基于Web of Science的抑郁症与脑胶质淋巴 系统相关文献的可视化分析[J]. 临床医学进展, 2026, 16(3): 378-389. https://doi.org/10.12677/acm.2026.163802

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