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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.

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概括
此摘要是机器生成的。

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.

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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.