重度抑郁症(MDD)是一种使人衰弱的精神健康状况,会带来巨大的风险和负担。静息状态功能磁共振成像(fMRI)已成为研究MDD背后的神经机制的有前途的工具。然而,目前缺乏对MDD中静息态功能磁共振成像的全面文献计量学分析.这里,我们旨在深入探索静息态功能磁共振成像在MDD研究中的趋势和前沿.从1998年至2022年期间的WebofScience数据库中检索了相关出版物,并采用了CiteSpace软件来识别作者的影响力,机构,国家/地区,以及最新的研究趋势。共有1501种出版物符合搜索条件,揭示了多年来年度出版物的数量逐渐增加。中国贡献了最大的出版物产量,占所有国家中最高的百分比。特别是,电子科技大学,首都医科大学,哈佛医学院被认为是对这一增长做出重大贡献的关键机构。神经影像,生物精神病学,情感障碍杂志,和美国国家科学院院刊是MDD静息态功能磁共振成像研究领域有影响力的期刊。突发关键词分析表明,该领域的新兴研究前沿具有突出的关键词,如动态功能连通性,认知控制网络,经颅脑刺激,童年的创伤。总的来说,我们的研究对历史发展进行了系统的概述,当前状态,以及MDD中静息态功能磁共振成像的未来趋势,从而为研究人员规划未来的研究提供了有用的指导。
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.