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首发、未经治疗的青春期单相重性抑郁障碍患儿脑白质损伤与疾病严重程度的相关性与局部脑结构网络拓扑有关。

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.

机构信息

Department of Radiology, Heping Hospital Affiliated to Changzhi Medical College, Changzhi, Shanxi, China; Changzhi Key Lab of Functional Imaging for Brain Diseases, Heping Hospital Affiliated to Changzhi Medical College, Changzhi, Shanxi, China.

Faculty of Applied Sciences, Macao Polytechnic University, Macao SAR, China.

出版信息

Psychiatry Res Neuroimaging. 2024 Oct;344:111862. doi: 10.1016/j.pscychresns.2024.111862. Epub 2024 Aug 6.

DOI:10.1016/j.pscychresns.2024.111862
PMID:39153232
Abstract

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.

摘要

青春期是发生重度抑郁症(MDD)的脆弱时期,因为此时存在大量神经发育变化。先前在抑郁青少年中进行的扩散张量成像(DTI)研究,由于疾病慢性化和药物混杂因素,参与者存在异质性,使得早期病理学评估具有挑战性。本研究利用全脑 DTI 和图论方法,探讨了与首发、未经治疗的儿科 MDD 相关的白质(WM)异常和结构网络拓扑结构紊乱。参与者包括 36 名首发、未经治疗的青少年 MDD 患者(平均年龄 15.8 岁)和 29 名年龄和性别匹配的健康对照组(平均年龄 15.2 岁)。与对照组相比,MDD 组的内囊和外囊的各向异性分数降低,揭示了早期发病的抑郁症中 WM 破坏的新区域。右丘脑和颞上回被确定为网络枢纽,其中介于中心性变化介导 WM 异常与抑郁严重程度之间的联系。使用神经网络算法,包含人口统计学、DTI 和网络指标的诊断模型的 AUC 为 0.88,F1 得分为 0.80。通过检查首发、未经治疗的患者,这项工作发现了新的 WM 异常,以及一种潜在的因果途径,即通过大脑枢纽的区域结构网络改变,将 WM 损伤与症状严重程度联系起来。

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