Brain & Behaviour Research Institute and School of Psychology, University of Wollongong, Wollongong, NSW 2522, Australia.
Brain & Behaviour Research Institute and School of Psychology, University of Wollongong, Wollongong, NSW 2522, Australia.
Clin Neurophysiol. 2020 Jan;131(1):205-212. doi: 10.1016/j.clinph.2019.10.018. Epub 2019 Nov 20.
Global EEG alpha activity is negatively correlated with skin conductance level (SCL), supporting alpha as an inverse marker of arousal. Frequency Principal Components Analysis (f-PCA) of resting EEG amplitude spectra has demonstrated natural components in the alpha band of healthy persons. This is a preliminary exploration of whether such components differ with arousal, possibly underpinning the anomalous ADHD hypoarousal link to reduced alpha.
Twenty-seven right-handed undergraduate students participated in three 2 minute blocks of resting eyes-open/closed EEG and SCL: EO1, EC, EO2. For each condition, mean EEG spectra were submitted to separate f-PCAs.
The inverse alpha/SCL relationship was confirmed for band amplitudes. EO had two alpha components; both correlated negatively with SCL. EC alpha contained four components, but only one had a substantial negative correlation with SCL; two had no relationship, suggesting natural alpha components with different non-arousal functionality in EC.
Some alpha components in both EC and EO reflect arousal, with other non-arousal components in EC. Our f-PCA approach offers insight into previously-noted alpha anomalies in disorders such as ADHD.
This proof of concept demonstration in typical participants may provide the basis for a new research effort in clinical disorders involving atypical arousal patterns.
全球脑电图阿尔法活动与皮肤电导率(SCL)呈负相关,支持阿尔法作为唤醒的反标记。静息脑电图幅度谱的频率主成分分析(f-PCA)已经证明了健康人阿尔法波段中的自然成分。这是对这些成分是否因唤醒而不同的初步探索,可能为 ADHD 异常低唤醒与阿尔法减少之间的联系提供支持。
27 名右利手大学生参与了三次 2 分钟的静息睁眼/闭眼脑电图和 SCL:EO1、EC、EO2。对于每种情况,平均脑电图谱都被提交给单独的 f-PCA。
阿尔法/SCL 关系在频带幅度上得到了证实。EO 有两个阿尔法成分;都与 SCL 呈负相关。EC 的阿尔法包含四个分量,但只有一个与 SCL 有显著的负相关;两个没有关系,这表明在 EC 中存在具有不同非唤醒功能的自然阿尔法分量。
EO 和 EC 中的一些阿尔法分量反映了唤醒,而 EC 中的其他非唤醒分量。我们的 f-PCA 方法为 ADHD 等疾病中先前注意到的阿尔法异常提供了深入了解。
在典型参与者中的这一概念验证演示可能为涉及非典型唤醒模式的临床疾病的新研究努力提供基础。