脑电图微状态作为青少年重度抑郁障碍的指标和4 周治疗反应的预测因子。

IF 4.9 2区 医学 Q1 CLINICAL NEUROLOGY
Journal of affective disorders Pub Date : 2025-12-15 Epub Date: 2025-08-21 DOI:10.1016/j.jad.2025.119511
Yaru Zhang, Tingyu Yang, Xilong Cui, Chunxiang Huang, Guangrong Xie, Xuerong Luo, Yuqiong He
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引用次数: 0

摘要

目的:本研究旨在确定首发和药物幼稚型重度抑郁症(MDD)青少年的脑电图(EEG)微观状态的改变。此外,该研究旨在探讨脑电图微观状态与临床特征和患者对抗抑郁治疗反应的关系,为期4 周。方法:共招募81名首发和未吸毒的MDD青少年和60名健康对照(hc)。收集所有参与者的一般人口统计信息和静息脑电图数据。在基线和4 周抗抑郁治疗后,使用汉密尔顿抑郁量表(HAMD)评估抑郁症状。研究采用脑电微态和支持向量机(SVM)技术进行数据解释。结果:与hcc相比,首发和药物初始型MDD的青少年表现出微状态D持续时间的显著减少和微状态a发生的增加(p )。结论:微状态a可能与抑郁症状的严重程度有关,而微状态B可能是首发和药物初始型MDD青少年抗抑郁反应的有效预测因子。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
EEG microstates as indicators and predictors of response through 4 weeks of treatment in adolescents with major depressive disorder.

Objectives: This study sought to identify alterations in electroencephalography (EEG) microstates among adolescents with first-episode and drug-naive major depressive disorder (MDD). Additionally, it aimed to explore the association of EEG microstates with clinical characteristics and patient response to antidepressant treatment over a period of 4 weeks.

Methods: A total of 81 first-episode and drug-naive adolescents with MDD and 60 healthy controls (HCs) were recruited. General demographic information and resting EEG data were collected from all participants. Depression symptoms were evaluated using the Hamilton Depression Scale (HAMD) at baseline and following 4 weeks of antidepressant treatment. The study employed EEG microstates and support vector machine (SVM) techniques for data interpretation.

Results: Adolescents with first-episode and drug-naive MDD exhibited a significant reduction in the duration of microstate D and an increase in the occurrence of microstate A compared to the HCs (p < 0.05).When comparing treatment responders and non-responders, treatment responders demonstrated an elevated occurrence and coverage of microstate A and transition probabilities of A-C. Conversely, treatment responders showed decreased occurrence and coverage of microstate B and transition probabilities of BD (all p < 0.05). Upon feature selection, five distinct micro-state parameters were utilized as features. Subsequently, the SVM model demonstrated its capability to distinguish between treatment responders and non-responders, achieving an average accuracy of 75.29 %. Notably, the model's peak performance was characterized by a classification accuracy of 82.35%, accompanied by an AUC of 0.819, a sensitivity of 75.00%, and a specificity of 88.89%.

Conclusions: Microstate A may be associated with the severity of depressive symptoms, while microstate B might serve as a potent predictor of antidepressant response in adolescents with first-episode and drug-naive MDD.

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来源期刊
Journal of affective disorders
Journal of affective disorders 医学-精神病学
CiteScore
10.90
自引率
6.10%
发文量
1319
审稿时长
9.3 weeks
期刊介绍: The Journal of Affective Disorders publishes papers concerned with affective disorders in the widest sense: depression, mania, mood spectrum, emotions and personality, anxiety and stress. It is interdisciplinary and aims to bring together different approaches for a diverse readership. Top quality papers will be accepted dealing with any aspect of affective disorders, including neuroimaging, cognitive neurosciences, genetics, molecular biology, experimental and clinical neurosciences, pharmacology, neuroimmunoendocrinology, intervention and treatment trials.
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