Abnormal intrinsic brain functional network dynamics in first-episode drug-naïve adolescent major depressive disorder

重性抑郁障碍 功能磁共振成像 动态功能连接 静息状态功能磁共振成像 心理学 神经科学 抑郁症状 认知 医学
作者
Baolin Wu,Xipeng Long,Yuan Cao,Hongsheng Xie,Xiuli Wang,Neil P. Roberts,Qiyong Gong,Zhiyun Jia
出处
期刊:Psychological Medicine [Cambridge University Press]
卷期号:54 (8): 1758-1767 被引量:1
标识
DOI:10.1017/s0033291723003719
摘要

Abstract Background Alterations in brain functional connectivity (FC) have been frequently reported in adolescent major depressive disorder (MDD). However, there are few studies of dynamic FC analysis, which can provide information about fluctuations in neural activity related to cognition and behavior. The goal of the present study was therefore to investigate the dynamic aspects of FC in adolescent MDD patients. Methods Resting-state functional magnetic resonance imaging data were acquired from 94 adolescents with MDD and 78 healthy controls. Independent component analysis, a sliding-window approach, and graph-theory methods were used to investigate the potential differences in dynamic FC properties between the adolescent MDD patients and controls. Results Three main FC states were identified, State 1 which was predominant, and State 2 and State 3 which occurred less frequently. Adolescent MDD patients spent significantly more time in the weakly-connected and relatively highly-modularized State 1, spent significantly less time in the strongly-connected and low-modularized State 2, and had significantly higher variability of both global and local efficiency, compared to the controls. Classification of patients with adolescent MDD was most readily performed based on State 1 which exhibited disrupted intra- and inter-network FC involving multiple functional networks. Conclusions Our study suggests local segregation and global integration impairments and segregation-integration imbalance of functional networks in adolescent MDD patients from the perspectives of dynamic FC. These findings may provide new insights into the neurobiology of adolescent MDD.
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
chen完成签到,获得积分10
2秒前
fan完成签到,获得积分10
2秒前
xintaihencha完成签到,获得积分10
2秒前
lanjiu发布了新的文献求助10
2秒前
Orange应助7799采纳,获得10
2秒前
wr781586完成签到 ,获得积分10
4秒前
4秒前
陶醉的萧完成签到,获得积分10
4秒前
桓某人发布了新的文献求助10
5秒前
写得出发的中完成签到,获得积分10
6秒前
6秒前
haki完成签到,获得积分10
7秒前
旺仔先生完成签到,获得积分10
7秒前
8秒前
派大星的海洋裤完成签到,获得积分10
8秒前
8秒前
俭朴钢铁侠完成签到 ,获得积分10
9秒前
科研通AI5应助survivaluu采纳,获得10
9秒前
9秒前
无花果应助lanjiu采纳,获得10
9秒前
10秒前
wangrblzu应助nczpf2010采纳,获得10
10秒前
10秒前
11秒前
负责斑马发布了新的文献求助10
11秒前
11秒前
思源应助张三采纳,获得10
12秒前
困敦发布了新的文献求助10
12秒前
11完成签到,获得积分10
12秒前
智挂东南枝完成签到,获得积分10
12秒前
12秒前
12秒前
侯绮彤完成签到,获得积分10
12秒前
科研通AI5应助科研通管家采纳,获得10
13秒前
lv应助端庄的魔镜采纳,获得10
13秒前
bkagyin应助科研通管家采纳,获得10
13秒前
CipherSage应助科研通管家采纳,获得10
13秒前
斯文败类应助科研通管家采纳,获得10
13秒前
大个应助科研通管家采纳,获得10
13秒前
bkagyin应助科研通管家采纳,获得10
13秒前
高分求助中
Thinking Small and Large 500
Algorithmic Mathematics in Machine Learning 500
Getting Published in SSCI Journals: 200+ Questions and Answers for Absolute Beginners 300
On translated images, stereotypes and disciplines 200
New Syntheses with Carbon Monoxide 200
Faber on mechanics of patent claim drafting 200
Quanterion Automated Databook NPRD-2023 200
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3834344
求助须知:如何正确求助?哪些是违规求助? 3376864
关于积分的说明 10495644
捐赠科研通 3096375
什么是DOI,文献DOI怎么找? 1704930
邀请新用户注册赠送积分活动 820309
科研通“疑难数据库(出版商)”最低求助积分说明 771966