基于横截面和纵横网络的tau传播完全个性化的模型.
Christopher A Brown1, Sandhitsu R Das1, John A Detre1,2
1Department of Neurology, University of Pennsylvania, Philadelphia, PA, United States.
Imaging neuroscience (Cambridge, Mass.)
|December 12, 2025
概括
个性化大脑连接模型准确地预测了阿尔茨海默病的区域性tau传播. 这种基于网络的方法为了解病理异质性和疾病进展提供了强大的工具.
科学领域:
- 神经成像是一种神经成像.
- 神经学 神经学
- 生物物理学的生物物理.
背景情况:
- 区域性tau负担呈现异质性,使疾病进展评估复杂化.
- 现有的定子发射断层扫描 (PET) 研究将连接性与病理中心联系起来,但缺乏个性化.
- 基于人群的连接体和中心不足以准确预测tau负担.
研究的目的:
- 开发和验证完全个性化的模型,以利用结构连接体和个性化中心预测区域tau负担.
- 评估这些个性化模型的横截面和纵向预测能力.
主要方法:
- 利用扩散MRI衍生的结构连接体和个性化的tau病理中心.
- 基于从个性化中心沿着个体结构连接体的距离进行模拟的tau负荷预测.
- 评估模型的横截面和纵向,包括验证数据集.
主要成果:
- 完全个性化的模型在解释区域 tau 负担时显著超过了基于人口的模型.
- 个性化模型在验证数据集中显示出更好的预测准确性.
- 实现了较强的单个主体水平预测TAU负担.
结论:
- 一个完全个性化的方法有效地解释了区域的多样性.
- 这些发现为基于网络的病理传播提供了强有力的体内证据.
- 这种方法提高了对阿尔茨海默病进展和网络动态的理解.
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