在阿尔茨海默氏病连续体中,白色和灰色物质的结构和微结构变化
Lingling Lv1, Hui Guo1, Zhiru Zhao1
1Department of Neurology, Xianyang Hospital of Yan'an University, Xianyang, Shanxi, China.
Frontiers in aging neuroscience
|December 1, 2025
概括
阿尔茨海默病 (AD) 涉及灰色和白质 (WM) 损失. 白质变性积极促进认知能力下降,提供超越传统措施的新预后标记.
科学领域:
- 神经成像是一种神经成像.
- 神经退行性疾病 神经退行性疾病
- 生物标志物开发 生物标志物开发
背景情况:
- 阿尔茨海默病 (AD) 的特点是影响灰质 (GM) 和白质 (WM) 的渐进性脑缩.
- 了解AD连续体 (临床前,主观认知衰退,MCI,痴呆症) 的体积变化对于诊断和治疗至关重要.
研究的目的:
- 审查阿尔茨海默病 (AD) 中大脑体积变化的神经成像特征.
- 探索这些改变在AD连续性的临床影响和预后价值.
- 提出一个统一的AD神经解剖模型,整合GM和WM病理学.
主要方法:
- 对神经成像研究的审查,重点关注阿尔茨海默病 (AD) 中的大脑体积变化.
- 在AD的不同临床阶段对灰质 (GM) 和白质 (WM) 的结构变化的分析.
- 识别具有预后价值的特定白质 (WM) 区域.
主要成果:
- 白质量 (WM) 体积损失是阿尔茨海默病 (AD) 临床衰退的积极贡献者,而不仅仅是灰质 (GM) 退化的结果.
- 特定的白质 (WM) 片段显示缩率,提供超出海马体体积的预后信息.
- 提出了AD神经解剖学的统一模型,强调了GM和WM病理之间的相互作用.
结论:
- 白质 (WM) 损失的时空空间模式是阿尔茨海默病 (AD) 进展的重要因素.
- 对AD神经解剖学的精细理解,整合GM和WM相互作用,对于下一代生物标志物开发至关重要.
- 人工智能 (AI) 和多omics数据集成对于未来的个性化预测模型至关重要.
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