生物标志物 生物标志物
Giordano Cecchetti1, Giulia Rugarli2,3, Luca Zanchi1
1IRCCS San Raffaele Scientific Institute, Milan, MI, Italy.
Alzheimer's & dementia : the journal of the Alzheimer's Association
|December 26, 2025
概括
静止状态EEG和α功率与阿尔茨海默病 (AD) 血生物标志物相关. 在生物标志物组中出现了不同的EEG模式,突出了EEG在非侵入性AD诊断和监测方面的潜力.
科学领域:
- 神经科学是一个神经科学.
- 生物标志物 生物标志物
- 电脑电图 (电脑电图) 是一种脑电图.
背景情况:
- 阿尔茨海默病 (AD) 是一种神经退行性疾病,导致认知能力下降.
- 休息状态脑电图 (EEG) 提供了关于AD相关神经生理变化的见解.
- 这项研究探讨了记忆诊所患者的32通道静止状态EEG和AD血生物标志物之间的联系.
研究的目的:
- 调查32通道静止状态EEG参数和AD的血生物标志物之间的关联.
- 通过AD生物标志物水平分层的患者中识别不同的EEG模式.
主要方法:
- 一项对193名患有认知障碍的患者进行的横截面研究.
- 收集了32通道静止状态EEG和光脉冲等离子体生物标志物 (pTau217,pTau181,NfL,Ab42/40比率).
- 患者根据pTau217截止值分为三组;线性回归和ANCOVA用于分析关联.
主要成果:
- 在AD血生物标志物 (pTau217,pTau181,pTau217/Ab42比率) 和/三角形功率之间发现了积极的关联.
- 观察到这些生物标志物与α振幅/功率和β功率之间存在负相关性.
- 通过pTau217的分层揭示了不同的EEG模式,在中间/高生物标志物组中,theta功率更高,alpha功率更低.
结论:
- 静止状态EEG参数,特别是和α功率,与AD血生物标志物密切相关.
- 脑电图可以捕捉疾病特有的神经生理学变化,支持AD诊断.
- 脑电图 (EEG) 提供了一个可扩展的,非侵入性的AD诊断和监测方法.
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