在阿尔茨海默病的功能连接和认知功能的边缘时间序列组件
Evgeny J Chumin1,2,3,4,5, Sarah A Cutts1,6, Shannon L Risacher2,3,4,5
1Department of Psychological and Brain Sciences, Indiana University (IU), Bloomington, IN, United States.
medRxiv : the preprint server for health sciences
|November 28, 2023
概括
新的网络神经科学方法揭示了在阿尔茨海默病 (AD) 中的脑行为联系,而静态功能连接错过了. 这种方法增强了对大脑网络变化与AD认知衰退的关系的理解.
科学领域:
- 神经科学是一个神经科学.
- 网络科学 网络科学
- 医疗成像医学成像
背景情况:
- 了解阿尔茨海默病 (AD) 中的大脑行为关系对于推进神经影像分析至关重要.
- 传统的功能连接方法在捕捉与AD相关的动态大脑相互作用方面存在局限性.
- 边缘时间序列框架为研究复杂的大脑行为关系提供了一种新的方法.
结论:
- 来自边缘时间序列分析的连接组件揭示了阿尔茨海默病中与疾病相关的大脑行为关系.
- 与传统的静态功能连接相比,这种新的方法为认知缺陷的神经支提供了更深入的见解.
- 这些发现支持神经成像分析方法的发展,用于神经退行性疾病的临床研究.
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