脑小血管疾病中的渐进性大脑结构异常,通过使用因果网络分析的MRI成像来评估
Ronghua Mu1, Xiaoyan Qin1, Wei Zheng1
1Department of Radiology, Nanxishan Hospital of Guangxi Zhuang Autonomous Region, 541004 Guilin, China.
NeuroImage. Clinical
|September 15, 2024
概括
大脑小血管疾病 (CSVD) 导致灰质体积损失,从右海马开始,随着认知能力下降而扩散. 右海马驱动CSVD进展中的这些结构变化.
科学领域:
- 神经成像是一种神经成像.
- 神经学 神经学
- 神经退行发生神经退行.
背景情况:
- 大脑小血管疾病 (CSVD) 涉及大脑微循环障碍和神经退行,导致结构异常.
- 在CSVD中,特别是认知障碍时,结构变化的渐进模式尚不清楚.
研究的目的:
- 在CSVD患者中研究灰质体积 (GMV) 的渐进结构变化.
- 根据认知障碍的严重程度来确定GMV变化的模式.
- 探索CSVD进展中大脑区域之间的因果关系.
主要方法:
- 招募了121名CSVD患者和104名健康对照 (HC).
- 使用基于voxel的形态测量来测量GMV.
- 使用基于VICCCS-2标准的因果结构共变性网络 (CaSCN) 分析分析了GMV变化和因果关系.
主要成果:
- 与HCs相比,CSVD患者表现出特定阶段的GMV变化.
- 转基因病毒的减少始于右海马体,并进展到皮层-皮下区域,认知障碍恶化.
- 右海马体在网络中发挥着驱动作用,对其他大脑区域产生积极和消极的因果影响.
结论:
- 右海马是CSVD的早期病理部位.
- CSVD的进展涉及到源自右海马的层次结构损伤模式.
- 这项研究阐明了CSVD相关脑损伤的因果影响和补偿机制.
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