脑网络动态在单位和多个域的amnestic轻度认知障碍患者
Tiantian Liu1, Mingjun Wang2, Jian Zhang1
1School of Medical Technology, Beijing Institute of Technology, Beijing, China.
Alzheimer's & dementia : the journal of the Alzheimer's Association
|September 2, 2024
概括
大脑网络动态在单域 (SD-aMCI) 和多域 (MD-aMCI) 之间有所不同. 高阶认知网络 (HOCN) 和初级感知网络 (PSN) 在aMCI亚型和发展为阿尔茨海默病 (AD) 中显著参与.
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:
- 轻度认知障碍 (aMCI) 影响大脑网络动态.
- 区分单域 (SD-aMCI) 和多域 (MD-aMCI) aMCI至关重要,但仍然不清楚.
- 以前的研究已经探索了aMCI中的大脑网络动态,但没有特别区分亚型.
研究的目的:
- 描述SD-aMCI和MD-aMCI之间大脑网络动态的时空差异.
- 调查aMCI亚型中初级感官网络 (PSN) 和高阶认知网络 (HOCN) 的不同作用.
- 了解从aMCI亚型到阿尔茨海默病 (AD) 的进展情况.
主要方法:
- 使用了多中心数据集,包括正常对照 (NC),SD-aMCI,MD-aMCI和AD患者.
- 基于单个HOCN和初级感官网络 (PSN) 分片的构建协同激活模式 (CAP).
- 分析了空间时空CAP特征与神经心理评分之间的相关性.
主要成果:
- 与NC相比,SD-aMCI在HOCN占主导地位的CAP中表现出时间变化.
- 与NC相比,MD-aMCI显示了PSN占主导地位的CAP的变化.
- 从SD-aMCI到AD的进展涉及PSN,而MD-aMCI到AD涉及PSN和HOCN. 在不同的人群中,研究结果一致.
结论:
- 高级认知网络 (HOCN) 和初级感知网络 (PSN) 在aMCI亚型中发挥着不同的作用.
- 独特的网络参与凸显了在阿尔茨海默病研究中分类aMCI亚型的必要性.
- 了解这些网络差异有助于描述aMCI亚型及其向AD的进展.
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