qEEG作为阿尔茨海默病的生物标志物:研究相对PSD差异和一致性分析
Chanda Simfukwe1, Su-Hyun Han1, Ho Tae Jeong1
1Department of Neurology, Chung-Ang University College of Medicine, Seoul, South Korea.
Neuropsychiatric disease and treatment
|November 15, 2023
概括
定量EEG分析显示,与健康对照人群相比,阿尔茨海默病患者的脑信号模式不同. 眼睛打开和闭眼状态的休息状态EEG差异可以帮助检测AD.
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
- 医疗成像医学成像
背景情况:
- 电脑电图 (EEG) 提供了对大脑皮层电活动的洞察.
- 对EEG信号的定量EEG (qEEG) 分析可以作为阿尔茨海默病 (AD) 的神经心理生物标志物.
- 研究眼睛打开和眼睛关闭状态之间的静止状态EEG (rEEG) 信号差异可能会揭示AD特定的异常.
研究的目的:
- 研究阿尔茨海默病 (AD) 患者的眼睛开放 (EOR) 和眼睛闭合 (ECR) 状态之间的静止状态EEG (rEEG) 信号异常的差异.
- 将这些异常与健康对照群 (HC) 中观察到的异常进行比较.
- 评估qEEG分析在区分AD和HC方面的潜力.
主要方法:
- 利用了来自韩国的534名受试者 (269名HC,265名AD) 的EEG数据.
- 对 EOR 和 ECR 状态进行了 qEEG 分析,测量了相对功率频谱密度 (PSD) 和功能连接的连贯性.
- 在MATLAB R2021a中使用EEGlab和Brainstorm工具箱预处理的数据,通过ANOVA进行统计分析.
主要成果:
- 与HC相比,AD组在EOR/ECR状态中在19个EEG通道中显著增加了三角频带PSD,特别是在前部,顶部和部区域.
- 源级delta功率带在AD增加,在HC减少;阿尔法,β和马频段源活动在AD减少,β频段显著下降.
- 在贝塔频段的对智一致性在ECR状态下在AD组显著增加,并且在减去EOR状态时下降.
结论:
- 对PSD和一致性的EEG分析为区分AD患者和健康个体提供了有希望的方法.
- 这些发现增强了对AD相关大脑信号异常的理解.
- 这项研究突出了rEEG分析在眼睛开放和闭眼状态中的潜力,作为AD的诊断工具.
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