高大脑网络动态调解视听一体化缺陷和阿尔茨海默病的认知障碍
Jieying Li1,2,3,4, Yang Yi1,2, Xin Gao5
1Sichuan Provincial Center for Mental Health, Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China.
Journal of Alzheimer's disease : JAD
|September 22, 2025
概括
阿尔茨海默病患者难以整合声音和视觉,显示大脑网络动态发生变化. 过度的默认模式和视觉网络集成可能会导致阿尔茨海默病的认知衰退.
科学领域:
- 神经科学是一个神经科学.
- 认知科学 认知科学
- 医疗成像医学成像
背景情况:
- 视听整合缺陷在阿尔茨海默病 (AD) 中很常见.
- 阿尔茨海默病患者表现出改变了参与感官处理的功能性大脑网络.
- 这些网络改造与整合缺陷之间的联系尚未完全理解.
研究的目的:
- 调查动态功能网络中断是否有助于视听一体化和AD的认知缺陷.
- 探索大脑网络动态在AD病理生理学的作用.
主要方法:
- 来自79名参与者的静止状态fMRI数据 (41名AD,38名对照) 使用多层模块化算法进行了分析.
- 在视听任务中评估了动态功能网络连接.
- 调解分析被用来检查网络动态,视听整合和认知分数之间的关系.
主要成果:
- 阿尔茨海默病患者的反应较慢,视听整合益处减少.
- 在阿尔茨海默病患者的初级感官和高阶网络中观察到动态切换率的增加.
- 发现默认模式网络 (DMN) 和视觉网络 (VN) 之间的过度动态集成可以调解视听集成缺陷和认知障碍之间的关联.
结论:
- 在AD中视听整合障碍可能会破坏DMN-VN的动态连接,导致认知能力下降.
- 了解这些神经机制可能有助于早期阿尔茨海默病诊断和干预.
- 动态功能网络的改变代表了AD的潜在治疗目标.
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