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在阿尔茨海默氏症中神经通路的微观结构映射使用宏观结构信息规范 Tractometry

Yixue Feng¹, Bramsh Q Chandio¹, Julio E Villalon-Reina¹

¹Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA, United States.

bioRxiv : the preprint server for biology

|May 7, 2024

概括

这项研究引入了宏观结构信息规范 Tractometry (MINT) 来分析轻度认知障碍 (MCI) 和痴呆症中的大脑白质变化. 与传统方法相比,MINT提供了对神经通路改变的更全面的理解.

科学领域:

神经成像是一种神经成像.
大脑微观结构和宏观结构分析

背景情况:

扩散MRI对大脑组织微观结构敏感,对检测退行性疾病有用.
当前的方法通常分析平均值,忽视纤维几何,这可能会限制解释.

研究的目的:

研究轻度认知障碍 (MCI) 和痴呆症中白质微观结构和宏观结构的关节变化.
为此分析引入一个新的框架,即宏观结构信息规范 Tractometry (MINT).
将MINT衍生度量与扩散张力成像 (DTI) 度量进行比较,以评估纤维几何对解释的影响.

主要方法:

开发和应用宏观结构信息规范 Tractometry (MINT) 框架.
白质通路形状和微观结构的联合建模.
将MINT指标与单变量DTI指标进行比较.

主要成果:

在北美和印度队伍中发现了与MCI和痴呆症相关的微观结构和宏观结构异常的一致模式.
扩散指标对痴呆症的敏感性得到了排名.
MINT证明了在解开神经通路上的疾病影响方面的潜力.

结论:

通过整合宏观结构和微观结构信息,MINT提供了一种更细微的方法来了解神经退行性疾病中的大脑变化.
共同建模通道形状和微观结构可以提高在MCI和痴呆症等疾病中扩散MRI发现的解释.

关键词:

阿尔茨海默氏症是阿尔茨海默氏症的一种疾病.检测异常检测异常检测深度生成模型的模型.扩散磁力共振成像 (MRI) 扩散规范性建模规范性建模拖拉力测量仪拖拉力测量仪转移学习转移学习

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