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
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
蓦然发布了新的文献求助10
1秒前
量子星尘发布了新的文献求助10
3秒前
GQL完成签到,获得积分10
3秒前
shann完成签到,获得积分10
7秒前
昀松完成签到,获得积分10
8秒前
jingguofu发布了新的文献求助10
10秒前
爱我不上火完成签到 ,获得积分10
11秒前
14秒前
诚心桐完成签到,获得积分10
17秒前
孙老师完成签到 ,获得积分10
17秒前
量子星尘发布了新的文献求助10
26秒前
yes完成签到 ,获得积分10
28秒前
sonicker完成签到 ,获得积分10
28秒前
29秒前
31秒前
蓦然完成签到,获得积分20
31秒前
三石完成签到,获得积分10
33秒前
柔弱翎完成签到,获得积分10
39秒前
量子星尘发布了新的文献求助10
41秒前
kellen完成签到,获得积分10
41秒前
control完成签到,获得积分10
46秒前
48秒前
小许完成签到 ,获得积分10
49秒前
岩松完成签到 ,获得积分10
49秒前
乘风破浪完成签到 ,获得积分10
50秒前
量子星尘发布了新的文献求助10
52秒前
张庭豪完成签到,获得积分10
53秒前
兴奋雁风完成签到 ,获得积分10
55秒前
小高同学完成签到,获得积分10
56秒前
zhangxinan完成签到,获得积分10
59秒前
小破仁完成签到,获得积分10
1分钟前
kimiwanano完成签到,获得积分10
1分钟前
量子星尘发布了新的文献求助10
1分钟前
彩色的蓝天完成签到,获得积分10
1分钟前
昏睡的妙梦完成签到,获得积分10
1分钟前
术语完成签到 ,获得积分10
1分钟前
1分钟前
田田完成签到 ,获得积分10
1分钟前
1分钟前
活泼的寒安完成签到 ,获得积分10
1分钟前
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
2025-2031全球及中国金刚石触媒粉行业研究及十五五规划分析报告 6000
Real World Research, 5th Edition 680
Qualitative Data Analysis with NVivo By Jenine Beekhuyzen, Pat Bazeley · 2024 660
Superabsorbent Polymers 600
Handbook of Migration, International Relations and Security in Asia 555
A retrospective multi-center chart review study on the timely administration of systemic corticosteroids in children with moderate-to-severe asthma exacerbations 510
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 5677086
求助须知:如何正确求助?哪些是违规求助? 4970454
关于积分的说明 15159354
捐赠科研通 4836760
什么是DOI,文献DOI怎么找? 2591317
邀请新用户注册赠送积分活动 1544792
关于科研通互助平台的介绍 1502815