Yao Shun, Zhu Jieying, Li Shuiyan, Zhang Ruibin, Zhao Jiubo, Yang Xueling, Wang You
Department of Psychology, School of Public Health, Southern Medical University, Guangzhou, China.
Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai, China.
Front Psychiatry. 2022 May 23;13:830819. doi: 10.3389/fpsyt.2022.830819. eCollection 2022.
With the development of quantitative electroencephalography (QEEG), an increasing number of studies have been published on the clinical use of QEEG in the past two decades, particularly in the diagnosis, treatment, and prognosis of neuropsychiatric disorders. However, to date, the current status and developing trends of this research field have not been systematically analyzed from a macroscopic perspective. The present study aimed to identify the hot spots, knowledge base, and frontiers of QEEG research in neuropsychiatric disorders from 2000 to 2021 through bibliometric analysis.
QEEG-related publications in the neuropsychiatric field from 2000 to 2021 were retrieved from the Web of Science Core Collection (WOSCC). CiteSpace and VOSviewer software programs, and the online literature analysis platform (bibliometric.com) were employed to perform bibliographic and visualized analysis.
A total of 1,904 publications between 2000 and 2021 were retrieved. The number of QEEG-related publications in neuropsychiatric disorders increased steadily from 2000 to 2021, and research in psychiatric disorders requires more attention in comparison to research in neurological disorders. During the last two decades, QEEG has been mainly applied in neurodegenerative diseases, cerebrovascular diseases, and mental disorders to reveal the pathological mechanisms, assist clinical diagnosis, and promote the selection of effective treatments. The recent hot topics focused on QEEG utilization in neurodegenerative disorders like Alzheimer's and Parkinson's disease, traumatic brain injury and related cerebrovascular diseases, epilepsy and seizure, attention-deficit hyperactivity disorder, and other mental disorders like major depressive disorder and schizophrenia. In addition, studies to cross-validate QEEG biomarkers, develop new biomarkers (e.g., functional connectivity and complexity), and extract compound biomarkers by machine learning were the emerging trends.
The present study integrated bibliometric information on the current status, the knowledge base, and future directions of QEEG studies in neuropsychiatric disorders from a macroscopic perspective. It may provide valuable insights for researchers focusing on the utilization of QEEG in this field.
随着定量脑电图（QEEG）的发展，在过去二十年中，关于QEEG临床应用的研究越来越多，特别是在神经精神疾病的诊断、治疗和预后方面。然而，迄今为止，尚未从宏观角度对该研究领域的现状和发展趋势进行系统分析。本研究旨在通过文献计量分析确定2000年至2021年神经精神疾病中QEEG研究的热点、知识库和前沿领域。
从Web of Science核心合集（WOSCC）中检索2000年至2021年神经精神领域与QEEG相关的出版物。使用CiteSpace和VOSviewer软件程序以及在线文献分析平台（bibliometric.com）进行文献计量和可视化分析。
共检索到2000年至2021年期间的1904篇出版物。2000年至2021年，神经精神疾病中与QEEG相关的出版物数量稳步增加，与神经疾病研究相比，精神疾病研究需要更多关注。在过去二十年中，QEEG主要应用于神经退行性疾病、脑血管疾病和精神障碍，以揭示病理机制、辅助临床诊断并促进有效治疗的选择。最近的热点话题集中在QEEG在阿尔茨海默病和帕金森病等神经退行性疾病、创伤性脑损伤及相关脑血管疾病、癫痫和发作、注意力缺陷多动障碍以及重度抑郁症和精神分裂症等其他精神障碍中的应用。此外，对QEEG生物标志物进行交叉验证、开发新的生物标志物（如功能连接性和复杂性）以及通过机器学习提取复合生物标志物的研究是新兴趋势。
本研究从宏观角度整合了神经精神疾病中QEEG研究现状、知识库和未来方向的文献计量信息。它可能为专注于该领域QEEG应用的研究人员提供有价值的见解。
