Fu Linhan, Cai Mengjing, Zhao Yao, Zhang Zhihui, Qian Qian, Xue Hui, Chen Yayuan, Sun Zuhao, Zhao Qiyu, Wang Shaoying, Wang Chunyang, Wang Wenqin, Jiang Yifan, Tian Yuxuan, Ma Juanwei, Guo Wenbin, Liu Feng
Department of Radiology and Tianjin Key Laboratory of Functional Imaging & Tianjin Institute of Radiology, Tianjin Medical University General Hospital, Tianjin, 300052, China.
School of Medical Imaging, Tianjin Medical University, Tianjin, 300070, China.
Heliyon. 2024 Jun 27;10(13):e33833. doi: 10.1016/j.heliyon.2024.e33833. eCollection 2024 Jul 15.
Major depressive disorder (MDD) is a debilitating mental health condition that poses significant risks and burdens. Resting-state functional magnetic resonance imaging (fMRI) has emerged as a promising tool in investigating the neural mechanisms underlying MDD. However, a comprehensive bibliometric analysis of resting-state fMRI in MDD is currently lacking. Here, we aimed to thoroughly explore the trends and frontiers of resting-state fMRI in MDD research. The relevant publications were retrieved from the Web of Science database for the period between 1998 and 2022, and the CiteSpace software was employed to identify the influence of authors, institutions, countries/regions, and the latest research trends. A total of 1501 publications met the search criteria, revealing a gradual increase in the number of annual publications over the years. China contributed the largest publication output, accounting for the highest percentage among all countries. Particularly, the University of Electronic Science and Technology of China, Capital Medical University, and Harvard Medical School were identified as key institutions that have made substantial contributions to this growth. Neuroimage, Biological Psychiatry, Journal of Affective Disorders, and Proceedings of the National Academy of Sciences of the United States of America are among the influential journals in the field of resting-state fMRI research in MDD. Burst keywords analysis suggest the emerging research frontiers in this field are characterized by prominent keywords such as dynamic functional connectivity, cognitive control network, transcranial brain stimulation, and childhood trauma. Overall, our study provides a systematic overview into the historical development, current status, and future trends of resting-state fMRI in MDD, thus offering a useful guide for researchers to plan their future research.
重度抑郁症(MDD)是一种使人衰弱的心理健康状况,会带来重大风险和负担。静息态功能磁共振成像(fMRI)已成为研究MDD潜在神经机制的一种有前景的工具。然而,目前缺乏对MDD中静息态fMRI的全面文献计量分析。在此,我们旨在深入探索MDD研究中静息态fMRI的趋势和前沿。从科学网数据库中检索了1998年至2022年期间的相关出版物,并使用CiteSpace软件来确定作者、机构、国家/地区的影响力以及最新研究趋势。共有1501篇出版物符合检索标准,显示出多年来年度出版物数量逐渐增加。中国的出版物产出最多,在所有国家中占比最高。特别是,电子科技大学、首都医科大学和哈佛医学院被确定为对这一增长做出重大贡献的关键机构。《神经影像学》《生物精神病学》《情感障碍杂志》和《美国国家科学院院刊》是MDD静息态fMRI研究领域中有影响力的期刊。突发关键词分析表明,该领域新兴的研究前沿具有动态功能连接、认知控制网络、经颅脑刺激和童年创伤等突出关键词的特征。总体而言,我们的研究对MDD中静息态fMRI的历史发展、现状和未来趋势进行了系统概述,从而为研究人员规划未来研究提供了有用的指导。