Twenty-five years of research on resting-state fMRI of major depressive disorder: A bibliometric analysis of hotspots, nodes, bursts, and trends

静息状态功能磁共振成像 重性抑郁障碍 功能连接 数据科学 心理学 神经科学 计算机科学 认知
作者
Lin Fu,Mengjing Cai,Yao Zhao,Zhihui Zhang,Qian Qian,Hui Xue,Yayuan Chen,Zuhao Sun,Qiyu Zhao,Shaoying Wang,Chunyang Wang,Wenqin Wang,Yifan Jiang,Yuxuan Tian,Juanwei Ma,Wenbin Guo,Feng Liu
出处
期刊:Heliyon [Elsevier]
卷期号:10 (13): e33833-e33833
标识
DOI:10.1016/j.heliyon.2024.e33833
摘要

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.

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
忧郁映之发布了新的文献求助10
1秒前
1秒前
Hepatology完成签到,获得积分10
1秒前
Tysonqu发布了新的文献求助10
2秒前
2秒前
xlh发布了新的文献求助10
2秒前
张子翀完成签到 ,获得积分10
2秒前
斯文败类应助欲扬先抑采纳,获得10
2秒前
wwww发布了新的文献求助10
4秒前
shiqi关注了科研通微信公众号
4秒前
4秒前
香蕉觅云应助轻松的语海采纳,获得30
5秒前
量子星尘发布了新的文献求助10
5秒前
开朗的宛丝完成签到 ,获得积分10
5秒前
房房不慌完成签到 ,获得积分10
5秒前
5秒前
6秒前
daisy发布了新的文献求助10
6秒前
清风揽月发布了新的文献求助10
7秒前
钱大大发布了新的文献求助10
7秒前
7秒前
柳LL发布了新的文献求助10
7秒前
文静念寒完成签到,获得积分10
7秒前
FFFFF应助粗心的从露采纳,获得10
8秒前
打打应助曾阿牛采纳,获得10
8秒前
Orange应助小孙失策了采纳,获得10
8秒前
8秒前
俊逸的猫咪关注了科研通微信公众号
9秒前
烟花应助从容的天空采纳,获得30
10秒前
11秒前
kove0928完成签到,获得积分10
11秒前
11秒前
专注淇发布了新的文献求助10
12秒前
elysia完成签到,获得积分10
12秒前
daisy完成签到,获得积分20
12秒前
12秒前
13秒前
13秒前
tanx发布了新的文献求助10
14秒前
15秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Mechanics of Solids with Applications to Thin Bodies 5000
Encyclopedia of Agriculture and Food Systems Third Edition 2000
Clinical Microbiology Procedures Handbook, Multi-Volume, 5th Edition 临床微生物学程序手册,多卷,第5版 2000
人脑智能与人工智能 1000
King Tyrant 720
Silicon in Organic, Organometallic, and Polymer Chemistry 500
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5601468
求助须知:如何正确求助?哪些是违规求助? 4686975
关于积分的说明 14846893
捐赠科研通 4681115
什么是DOI,文献DOI怎么找? 2539378
邀请新用户注册赠送积分活动 1506298
关于科研通互助平台的介绍 1471297