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阿尔茨海默氏症成像联盟
Norman Scheel1,2, Jonathan M Reader2, Arijit K Bhaumik2
1Michigan State University, East Lansing, MI, USA.
欧米茄 (Ω) 衡量大脑活动的复杂性. 默认模式网络 (DMN) 中较低的 Ω 和边缘系统中较高的 Ω 与老年人更好的认知表现相关.
科学领域:
- 神经成像是一种神经成像.
- 认知神经科学 认知神经科学
- 大脑复杂性分析
背景情况:
- 休息状态功能性MRI (rs-fMRI) 复杂性难以解释.
- 从Eigenvalue (EV) 频谱分析中得出的Omega Entropy (Ω) 量化了rs-fMRI大脑活动的复杂性.
- 较低的 Ω 表示大脑活动的连贯性更大;较高的 Ω 表示连贯性更小.
研究的目的:
- 为了研究Omega Entropy (Ω) 与老化队列中的认知表现之间的关联.
- 探索大脑活动复杂性如何与老年人的认知功能有关.
主要方法:
- 利用了来自密歇根阿尔茨海默病研究中心的132名参与者的rs-fMRI数据 (认知正常到阿尔茨海默病).
- 进行认知测试,包括蒙特利尔认知评估 (MoCA) 和霍普金斯口语学习测试 (HVLT).
- 使用皮尔森相关性和邦费罗尼校正,与大脑网络的 Ω 测量相关联的认知得分.
主要成果:
- HVLT总学习分数与默认模式网络 (DMN) Ω负相关,与边缘系统 Ω正相关.
- 在HVLT的延迟召回得分显示,与DMN Ω有负相关性.
- 摩卡分数与DMN Ω 有负相关性.
结论:
- 较高的认知性能 (MoCA,HVLT) 与较低的DMN Ω有关,表明连贯性增加.
- 更好的HVLT总回忆与更高的边缘系统 Ω有关,表明连贯性较低.
- Ω显示了作为衰老认知状态的生物标志物的潜力,特别是边缘系统的作用.
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