生物标志物 生物标志物
Vangelis P Oikonomou1, Ioulietta Lazarou1, Kostas Geordiadis1
1Centre for Research & Technology Hellas, Thessaloniki, Greece.
Alzheimer's & dementia : the journal of the Alzheimer's Association
|December 26, 2025
概括
休息EEG功能连接性,特别是α频段的中间中心性,在阿尔茨海默病 (AD) 谱中呈现逐渐下降,从健康对照到轻度认知障碍和AD. 这种EEG生物标志物可能有助于检测早期AD网络中断.
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
- 神经退行性疾病 神经退行性疾病
背景情况:
- 阿尔茨海默病 (AD) 涉及渐进的神经元功能障碍和认知能力下降.
- 早期发现AD谱状况对于及时干预至关重要.
- 休息电脑图 (EEG) 提供了一种非侵入性方法来评估大脑功能.
研究的目的:
- 研究休息EEG功能连接在区分健康对照 (HC) 与AD频谱临床前阶段的实用性.
- 通过使用EEG衍生的指标,检查整个AD频谱的网络变化.
- 评估betweenness中心性的潜力,作为AD进展的生物标志物.
主要方法:
- 使用了CAUEEG数据集,包括来自1155名参与者的EEG记录.
- 应用功能连接分析,专注于互联中心性作为网络指标.
- 在HC,主观认知衰退 (SCD),轻度认知障碍 (MCI) 和使用ANCOVA和后期测试的AD组中,在α频段中比较中心性.
主要成果:
- 观察到诊断对α频段的中间中心性的显著主要影响 (p < .01).
- 后期分析显示,从HC到SCD,MCI和AD的α频段之间的中心性逐渐下降.
- 这些发现表明,在AD频谱中大脑网络连接的显著改变.
结论:
- 基于EEG的功能连接,特别是α频段之间的中心性,可以识别AD频谱中的显著网络变化.
- 这种方法对检测临床前阿尔茨海默病和监测疾病进展具有前景.
- 进一步的研究可以利用这些发现来开发阿尔茨海默病的新型诊断和预后工具.
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