Effects of escitalopram therapy on resting-state functional connectivity of subsystems of the default mode network in unmedicated patients with major depressive disorder

依西酞普兰 默认模式网络 重性抑郁障碍 静息状态功能磁共振成像 心理学 神经科学 前额叶皮质 功能磁共振成像 精神科 抗抑郁药 认知 海马体
作者
Jian Cui,Yun Wang,Rui Liu,Jia Li,Zhifang Zhang,Yuan Feng,Jingjing Zhou,Yuan Zhou,Gang Wang
出处
期刊:Translational Psychiatry [Springer Nature]
卷期号:11 (1) 被引量:20
标识
DOI:10.1038/s41398-021-01754-4
摘要

Antidepressants are often the first-line medications prescribed for patients with major depressive disorder (MDD). Given the critical role of the default mode network (DMN) in the physiopathology of MDD, the current study aimed to investigate the effects of antidepressants on the resting-state functional connectivity (rsFC) within and between the DMN subsystems. We collected resting-state functional magnetic resonance imaging (rs-fMRI) data from 36 unmedicated MDD patients at baseline and after escitalopram treatment for 12 weeks. The rs-fMRI data were also collected from 61 matched healthy controls at the time point with the same interval. Then, we decomposed the DMN into three subsystems based on a template from previous studies and computed the rsFC within and between the three subsystems. Finally, repeated measures analysis of covariance was conducted to identify the main effect of group and time and their interaction effect. We found that the significantly reduced within-subsystem rsFC in the DMN core subsystem in patients with MDD at baseline was increased after escitalopram treatment and became comparable with that in the healthy controls, whereas the reduced within-subsystem rsFC persisted in the DMN dorsal medial prefrontal cortex (dMPFC) and medial temporal subsystems in patients with MDD following escitalopram treatment. In addition, the reduced between-subsystem rsFC between the core and dMPFC subsystem showed a similar trend of change after treatment in patients with MDD. Moreover, our main results were confirmed using the DMN regions from another brain atlas. In the current study, we found different effects of escitalopram on the rsFC of the DMN subsystems. These findings deepened our understanding of the neuronal basis of antidepressants' effect on brain function in patients with MDD. The trial name: appropriate technology study of MDD diagnosis and treatment based on objective indicators and measurement. URL: http://www.chictr.org.cn/showproj.aspx?proj=21377 . Registration number: ChiCTR-OOC-17012566.
最长约 10秒,即可获得该文献文件

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
喜木完成签到,获得积分10
刚刚
感动白风发布了新的文献求助10
刚刚
90099完成签到,获得积分10
刚刚
脑洞疼应助xxrj采纳,获得10
刚刚
1秒前
1秒前
1秒前
ll发布了新的文献求助10
1秒前
影儿发布了新的文献求助10
2秒前
张欢馨应助zyd1201采纳,获得10
3秒前
科研通AI6.4应助zyd1201采纳,获得30
3秒前
李健的小迷弟应助贵月采纳,获得10
3秒前
3秒前
针地很不戳完成签到,获得积分10
3秒前
passion发布了新的文献求助30
4秒前
4秒前
嘿嘿应助xxrj采纳,获得10
5秒前
hangli发布了新的文献求助10
5秒前
脑洞疼应助jjj采纳,获得10
6秒前
科研通AI6.2应助甜甜凌翠采纳,获得10
6秒前
7秒前
代SR发布了新的文献求助10
7秒前
隐形曼青应助ll采纳,获得10
7秒前
7秒前
云与客完成签到,获得积分10
8秒前
xzx发布了新的文献求助10
8秒前
罗毅应助卡乐瑞咩吹可采纳,获得10
9秒前
9秒前
大模型应助GZY采纳,获得10
10秒前
Wolfram发布了新的文献求助10
11秒前
天天发布了新的文献求助10
12秒前
吴jie完成签到,获得积分10
12秒前
hangli完成签到,获得积分10
12秒前
易安发布了新的文献求助30
13秒前
13秒前
领导范儿应助代SR采纳,获得10
14秒前
Wjzhen发布了新的文献求助10
15秒前
可爱的函函应助贵月采纳,获得10
15秒前
16秒前
KingPo完成签到,获得积分10
17秒前
高分求助中
Markov Chain Monte Carlo 10000
(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
Common Foundations of American and East Asian Modernisation: From Alexander Hamilton to Junichero Koizumi 5000
Pediatric Dermoscopy Trichoscopy & Onychoscopy 2030
Matrix Methods in Data Mining and Pattern Recognition Second Edition 610
Handbuch Trainingswissenschaft – Trainingslehre 500
Additive Manufacturing Design and Applications (ASM Handbook, Volume 24A) 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7577397
求助须知:如何正确求助?哪些是违规求助? 9157055
关于积分的说明 19590380
捐赠科研通 7161285
什么是DOI,文献DOI怎么找? 3265331
关于科研通互助平台的介绍 2430278
邀请新用户注册赠送积分活动 2255994