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结构性而不是功能性大脑变化,这些变化是主要抑郁症和原发性失眠之间差异的特征:一个比较的元分析

Wei Du^1,2,3, Biqiu Tang^1,2,3, Ziyang Gao^1,2,3

¹Department of Radiology, West China Hospital of Sichuan University, Chengdu, 610041, China.

|November 4, 2025

概括

大型抑郁症 (MDD) 和初级失眠症 (PI) 分享大脑变化,但明显的结构差异可能有助于区分它们. 在这两种情况中,功能性大脑变化与症状严重程度更为密切相关.

科学领域:

神经科学是一个神经科学.
精神病学是一个精神病学.
脑部成像脑部成像

背景情况:

重度抑郁症 (MDD) 和初级失眠症 (PI) 具有共同的症状和神经生物学特征,但它们是不同的疾病.
识别共享和独特的大脑变化对于理解MDD和PI机制以及改善诊断至关重要.
目前的研究还没有明确区分MDD和PI之间的结构性和功能性大脑变化.

研究的目的:

识别MDD和PI中常见和明显的结构性 (灰质体积 - GMV) 和功能性 (低频波动幅度 - ALFF) 大脑变化.
使用元回归来探索人口统计/临床特征与这些大脑变化之间的关系.
为了解MDD和PI的神经生物学基础和诊断区分提供洞察力.

主要方法:

在PubMed,Web of Science和Embase数据库中进行了系统的文献搜索,直到2024年4月.
基于种子的d绘图软件被用于分析MDD和PI中的GMV和ALFF异常,与健康对照相比.
进行了元回归分析,以检查临床和人口因素对大脑变化的影响,并遵循PRISMA指南.

主要成果:

无论是MDD还是PI,都在左极,上旋 (STG) 和右桃体中都呈现出增加的ALFF.
与MDD相比,PI显示出明显的GMV差异,左侧条纹体和中间环状/环状环状环 (DCG) 的体积较小,右侧STG的体积较大.
PI在右小脑和部区域显示较低的ALFF,但在右头和部区域显示较高的ALFF,而不是MDD. 功能性改变与症状严重程度的相关性更强.

结论:

在边缘和时间回路内静止状态激活的共享增加表明MDD和PI中存在共同的神经生物学机制,可能代表跨诊断的表型.
灰色物质变化的明显模式,特别是在条纹体,带膜和部区域,可以作为区分MDD和PI的生物标志物.
了解这些共同和独特的神经生物学特征对于推进MDD和PI的机制洞察力和诊断准确性至关重要.

关键词:

低频波动的幅度低频波动的幅度灰色物质体积,灰色物质体积.磁共振成像技术磁共振成像技术大型抑郁症主要是抑郁症.进行元分析分析.主要的失眠症主要是失眠症.

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