OBJECTIVE 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. METHOD 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. RESULTS 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. CONCLUSION 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. SIGNIFICANCE This proof of concept demonstration in typical participants may provide the basis for a new research effort in clinical disorders involving atypical arousal patterns.

中文翻译：

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静息 EEG 中的自然 alpha 频率成分及其与觉醒的关系

目标全球脑电图 alpha 活动与皮肤电导水平 (SCL) 呈负相关，支持 alpha 作为唤醒的反向标记。静息 EEG 振幅谱的频率主成分分析 (f-PCA) 已经证明了健康人的 alpha 波段中的自然成分。这是对这些成分是否与觉醒不同的初步探索，可能是异常多动症低觉醒与阿尔法减少的关联的基础。方法 27 名惯用右手的本科生参加了三个 2 分钟的静息睁眼/闭眼 EEG 和 SCL：EO1、EC、EO2。对于每种情况，将平均 EEG 谱提交给单独的 f-PCA。结果 带振幅的逆 alpha/SCL 关系得到证实。EO 有两个 alpha 分量；两者都与 SCL 呈负相关。EC alpha 包含四个组成部分，但只有一个与 SCL 显着负相关；两者没有关系，表明 EC 中具有不同非唤醒功能的天然 alpha 成分。结论 EC 和 EO 中的一些 alpha 成分反映了唤醒，而 EC 中的其他非唤醒成分。我们的 f-PCA 方法可以深入了解先前注意到的 ADHD 等疾病中的 alpha 异常。意义 在典型参与者中进行的这种概念验证可能为涉及非典型唤醒模式的临床疾病的新研究工作提供基础。我们的 f-PCA 方法可以深入了解先前注意到的 ADHD 等疾病中的 alpha 异常。意义 在典型参与者中进行的这种概念验证可能为涉及非典型唤醒模式的临床疾病的新研究工作提供基础。我们的 f-PCA 方法可以深入了解先前注意到的 ADHD 等疾病中的 alpha 异常。意义 在典型参与者中进行的这种概念验证可能为涉及非典型唤醒模式的临床疾病的新研究工作提供基础。