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.

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