Alterations to electroencephalography (EEG) power have been reported for psychiatric conditions such as depression and anxiety, but not for mental wellbeing in a healthy population. This study examined the resting EEG profiles associated with mental wellbeing, and how genetics and environment contribute to these associations using twin modelling. Mental wellbeing was assessed using the COMPAS-W Wellbeing Scale which measures both subjective and psychological wellbeing. In 422 healthy adult monozygotic and dizygotic twins aged 18–61 years, we examined the association between mental wellbeing and EEG power (alpha, beta, theta, delta) using linear mixed models. This was followed by univariate and multivariate twin modelling to assess the heritability of wellbeing and EEG power, and whether the association was driven by shared genetics or environment. A significant association between wellbeing and an interaction of alpha, beta, and delta (ABD) power was found (β = −0.33, p < 0.001) whereby a profile of high alpha and delta and low beta was associated with higher wellbeing, independent of depression and anxiety symptoms. This finding was supported by a five-fold cross-validation analysis. A significant genetic correlation (rG = −0.43) was found to account for 94% of the association between wellbeing and the EEG power interaction. Together, this study has identified a novel EEG profile with a common genetic component may be a potential biomarker of mental wellbeing. Future studies need to clarify the causal direction of this association.

据报道，脑电图（EEG）功率的改变会导致抑郁和焦虑等精神疾病，但不会影响健康人群的心理健康。这项研究使用双胞胎模型检查了与心理健康相关的静息脑电图，以及遗传和环境如何影响这些关联。使用 COMPAS-W 健康量表评估心理健康，该量表同时衡量主观健康和心理健康。在 422 名年龄为 18-61 岁的健康成年同卵双胞胎和异卵双胞胎中，我们使用线性混合模型研究了心理健康与脑电图功率（α、β、θ、δ）之间的关联。接下来是单变量和多变量双胞胎模型，以评估健康和脑电图功率的遗传性，以及这种关联是否是由共同的遗传或环境驱动的。研究发现，幸福感与 α、β 和 δ (ABD) 力量的相互作用之间存在显着关联（β = -0.33， p < 0.001），其中高 α 和 δ 以及低 β 的分布与较高的幸福感相关，独立抑郁和焦虑症状。这一发现得到了五重交叉验证分析的支持。研究发现，显着的遗传相关性 ( r G = -0.43) 解释了幸福感与 EEG 能量相互作用之间 94% 的关联。总之，这项研究发现了一种具有共同遗传成分的新型脑电图谱，可能是心理健康的潜在生物标志物。未来的研究需要阐明这种关联的因果方向。