Disruption of functional and structural networks in first-episode, drug-naïve adolescents with generalized anxiety disorder

广泛性焦虑症 心理学 毒品天真 功能磁共振成像 功能连接 焦虑 精神科 拓扑(电路) 药品 神经科学 数学 组合数学
作者
Xiaotong Guo,Fan Yang,Linlin Fan,Yue Gu,Junji Ma,Jinbo Zhang,Mei Liao,Tianyi Zhai,Yan Zhang,Lingjiang Li,Linyan Su,Zhengjia Dai
出处
期刊:Journal of Affective Disorders [Elsevier]
卷期号:284: 229-237 被引量:12
标识
DOI:10.1016/j.jad.2021.01.088
摘要

Individuals with generalized anxiety disorder (GAD) tend to worry exaggeratedly and uncontrollably about various daily routines. Previous studies have demonstrated that the GAD patients exhibited widespread alternations in both functional networks (FN) and structural networks (SN). However, the simultaneous alternations of the topological organization of FN, SN, as well as their couplings in GAD still remain unknown. Using multimodal approach, we constructed FN from resting-state functional magnetic imaging (R-fMRI) data and SN from diffusion magnetic resonance imaging (dMRI) data of 32 adolescent GAD patients and 25 healthy controls (HC). Graph theory analysis was employed to investigate the topological properties of FN, SN, and FN-SN coupling. Compared to HC, the GAD patients showed disruptions in global (i.e., decreased clustering coefficient, global, and local efficiency) and subnetwork (i.e., reduced intermodular connections, rich club, and feeder connections) levels in FN. Abnormal global level properties (i.e., increased characteristic path length and reduced global efficiency) were also observed in SN. Altered FN-SN couplings in normalized characteristic path length and feeder connections were identified in the GAD patients. The identified network measures were correlated with anxiety severity in the GAD patients. The sample size of the current study is small and the cross-sectional nature can not infer causal relationship. Our findings identified GAD-related topological alternations in both FN and SN, together with the couplings between FN and SN, providing us with a novel perspective for understanding the pathophysiological mechanisms of GAD.

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
huofuman完成签到,获得积分10
刚刚
今后应助李清杰采纳,获得10
1秒前
1秒前
lancelot完成签到,获得积分10
1秒前
杜兰特发布了新的文献求助20
1秒前
ASUKA完成签到,获得积分10
2秒前
3秒前
54189415完成签到,获得积分10
3秒前
小野完成签到,获得积分20
3秒前
3秒前
4秒前
Jolin完成签到,获得积分10
4秒前
NexusExplorer应助尤文昊采纳,获得10
4秒前
CipherSage应助100w采纳,获得10
4秒前
zhang完成签到,获得积分10
5秒前
丂枧完成签到,获得积分10
5秒前
5秒前
加油吧少年完成签到,获得积分10
5秒前
54189415发布了新的文献求助10
6秒前
摩擦电完成签到,获得积分10
6秒前
superkang完成签到,获得积分10
6秒前
黄毅完成签到,获得积分10
7秒前
YONG完成签到,获得积分10
7秒前
7秒前
鱿鱼炒黄瓜完成签到,获得积分10
8秒前
Jenny完成签到,获得积分10
8秒前
zrkkk完成签到,获得积分10
8秒前
8秒前
HR112发布了新的文献求助10
9秒前
jade完成签到,获得积分10
9秒前
Elbert完成签到,获得积分10
9秒前
丂枧发布了新的文献求助10
9秒前
kiwi完成签到 ,获得积分10
9秒前
9秒前
Cain应助元谷雪采纳,获得10
9秒前
bkagyin应助zhong_chuan采纳,获得10
10秒前
星辰大海应助Tu采纳,获得10
10秒前
幽默的妍完成签到 ,获得积分10
11秒前
fvsuar完成签到,获得积分10
11秒前
落落完成签到,获得积分10
11秒前
高分求助中
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 12000
(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
The Cambridge History of China: Volume 4, Sui and T'ang China, 589–906 AD, Part Two 1000
The Composition and Relative Chronology of Dynasties 16 and 17 in Egypt 1000
Russian Foreign Policy: Change and Continuity 800
Real World Research, 5th Edition 800
Qualitative Data Analysis with NVivo By Jenine Beekhuyzen, Pat Bazeley · 2024 800
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 5698957
求助须知:如何正确求助?哪些是违规求助? 5127856
关于积分的说明 15223496
捐赠科研通 4853894
什么是DOI,文献DOI怎么找? 2604380
邀请新用户注册赠送积分活动 1555882
关于科研通互助平台的介绍 1514222