Regional brain structural network topology mediates the associations between white matter damage and disease severity in first-episode, Treatment-naïve pubertal children with major depressive disorder

白质 重性抑郁障碍 部分各向异性 心理学 磁共振弥散成像 中间性中心性 萧条(经济学) 精神科 内科学 神经科学 医学 认知 磁共振成像 中心性 放射科 经济 宏观经济学 组合数学 数学
作者
Zhang Wenjie,Xiaobing Zhai,Chan Zhang,Song Cheng,Chaoqing Zhang,Jinji Bai,Xuan Deng,Junjun Ji,Ting Li,Yu Wang,Henry H.Y. Tong,Junfeng Li,Kefeng Li
出处
期刊:Psychiatry Research: Neuroimaging [Elsevier BV]
卷期号:344: 111862-111862
标识
DOI:10.1016/j.pscychresns.2024.111862
摘要

Puberty is a vulnerable period for the onset of major depressive disorder (MDD) due to considerable neurodevelopmental changes. Prior diffusion tensor imaging (DTI) studies in depressed youth have had heterogeneous participants, making assessment of early pathology challenging due to illness chronicity and medication confounds. This study leveraged whole-brain DTI and graph theory approaches to probe white matter (WM) abnormalities and disturbances in structural network topology related to first-episode, treatment-naïve pediatric MDD. Participants included 36 first-episode, unmedicated adolescents with MDD (mean age 15.8 years) and 29 age- and sex-matched healthy controls (mean age 15.2 years). Compared to controls, the MDD group showed reduced fractional anisotropy in the internal and external capsules, unveiling novel regions of WM disruption in early-onset depression. The right thalamus and superior temporal gyrus were identified as network hubs where betweenness centrality changes mediated links between WM anomalies and depression severity. A diagnostic model incorporating demographics, DTI, and network metrics achieved an AUROC of 0.88 and a F1 score of 0.80 using a neural network algorithm. By examining first-episode, treatment-naïve patients, this work identified novel WM abnormalities and a potential causal pathway linking WM damage to symptom severity via regional structural network alterations in brain hubs.

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
刚刚
刚刚
水水的完成签到 ,获得积分10
刚刚
刚刚
1秒前
Jie发布了新的文献求助10
1秒前
yayayaya发布了新的文献求助10
1秒前
wanci应助蓝天采纳,获得10
2秒前
2秒前
orixero应助石夜一觞采纳,获得10
3秒前
wzyyyyy发布了新的文献求助10
3秒前
方可发布了新的文献求助10
3秒前
未夕晴完成签到,获得积分10
4秒前
4秒前
4秒前
阳光的凌雪完成签到 ,获得积分10
4秒前
xiao米发布了新的文献求助10
5秒前
犹豫大侠发布了新的文献求助10
5秒前
5秒前
新宇星辰发布了新的文献求助10
7秒前
念卿完成签到 ,获得积分10
7秒前
饭饭发布了新的文献求助10
8秒前
丘比特应助赵小满采纳,获得10
8秒前
9秒前
Hypnos发布了新的文献求助10
9秒前
wzyyyyy完成签到,获得积分20
10秒前
goubuli00完成签到,获得积分10
10秒前
英俊宛菡完成签到,获得积分10
10秒前
11秒前
11秒前
ZZY完成签到,获得积分10
11秒前
11秒前
12秒前
橙大炮完成签到,获得积分10
13秒前
14秒前
侃侃完成签到,获得积分10
14秒前
14秒前
15秒前
秦善斓完成签到,获得积分10
15秒前
细腻海之发布了新的文献求助10
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
Salmon nasal cartilage-derived proteoglycan complexes influence the gut microbiota and bacterial metabolites in mice 2000
The Composition and Relative Chronology of Dynasties 16 and 17 in Egypt 1500
Picture this! Including first nations fiction picture books in school library collections 1500
SMITHS Ti-6Al-2Sn-4Zr-2Mo-Si: Ti-6Al-2Sn-4Zr-2Mo-Si Alloy 850
Signals, Systems, and Signal Processing 610
Learning manta ray foraging optimisation based on external force for parameters identification of photovoltaic cell and module 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 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6375023
求助须知:如何正确求助?哪些是违规求助? 8188439
关于积分的说明 17289307
捐赠科研通 5428918
什么是DOI,文献DOI怎么找? 2872195
邀请新用户注册赠送积分活动 1848914
关于科研通互助平台的介绍 1694693