在多发性硬化和抑郁症中同时发生与炎症相关的大脑重组
Lara S Molina Galindo1, Gabriel Gonzalez-Escamilla1, Vinzenz Fleischer1
1Department of Neurology, Focus Program Translational Neuroscience (FTN), Rhine-Main Neuroscience Network (rmn(2)), University Medical Center of the Johannes Gutenberg University Mainz, Langenbeckstrasse 1, 55131 Mainz, Germany.
Brain, behavior, and immunity
|May 18, 2024
概括
大型抑郁症 (MDD) 和多发性硬化症 (MS) 中的神经炎症显示出类似的大脑网络变化. 灰白质对比 (GWc) 核磁共振显示大脑连接的改变,这可能表明这两种情况都有共同的炎症过程.
科学领域:
- 神经成像是一种神经成像.
- 神经炎症是一种神经炎症.
- 精神病学是一个精神病学.
- 神经学 神经学
背景情况:
- 神经炎症与多发性硬化症 (MS) 和严重抑郁症 (MDD) 有关.
- 先进的磁共振成像 (MRI) 在检测MDD和MS灰色至白色物质边界的神经炎症活动中的作用尚不清楚.
研究的目的:
- 调查灰白质对比 (GWc) MRI特征是否可以作为MDD和MS中神经炎症活性的代理.
- 用GWc衍生的连接来分析MDD和MS患者的结构网络变化.
主要方法:
- 包括684名参与者:MDD患者 (复发和单次发作),MS患者 (有或没有抑郁症状) 和健康对照.
- 使用3T-T1wMRI推导GWc并表征GWc共变网络 (模块化,集群系数,程度).
- 采用支向量机来评估GWc根据抑郁症严重程度 (BDI) 对群体分层的能力.
主要成果:
- 与健康对照组相比,MDD和MS患者的网络模块化和集群性增加.
- 从健康对照组观察到MS患者 (有/没有抑郁症) 和MDD患者 (单次/反复发作) 的模块性增加的梯度.
- 降低GWc与抑郁症状增加相关,并且与患者群体的抑郁症得分有显著的关联. 在MS中,抑郁症状的分类准确率为88%.
结论:
- 通过GWc分析检测到的结构网络变化在MDD和MS中是相似的,这表明常见的潜在炎症事件如脱髓化和神经炎症.
- 这些变化似乎随着症状的严重程度而变化.
- 在MS中,GWc分析可能有助于阐明伴随性抑郁症的发生.
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