Juras Luka, Hromatko Ivana, Vranic Andrea
Department of Psychology, Faculty of Humanities and Social Sciences, University of Zagreb, Zagreb, Croatia.
Front Aging Neurosci. 2025 Mar 13;17:1530147. doi: 10.3389/fnagi.2025.1530147. eCollection 2025.
Research on executive functions training shows inconsistent outcomes, with factors like age, baseline cognitive abilities, and personality traits implicated as predictive of training gains, while limited attention has been given to neurophysiological markers. Theta and alpha band power are linked to cognitive performance, suggesting a potential area for further study. This study aimed to determine whether relative theta and alpha power and their ratio could predict gains in updating and inhibition training beyond the practice effects (the order of training session). Forty healthy middle-aged adults (aged 49-65) were randomly assigned to either the cognitive training group ( = 20), or the communication skills (control) group ( = 20). Both groups completed the self-administered training sessions twice a week for 10 weeks, totaling to 20 sessions. Resting-state EEG data were recorded before the first session. Mixed-effects model analyses revealed that higher relative parietal alpha power positively predicted training performance, while theta power negatively predicted performance. Additionally, higher parietal alpha/theta ratio was associated with better training outcomes, while the frontal alpha/theta ratio did not demonstrate significant predictive value. Other EEG measures did not show additional predictive power beyond what was accounted for by the session effects. The findings imply that individuals with specific EEG pattern may change with cognitive training, making resting-state EEG a useful tool in tailoring interventions.
执行功能训练的研究结果并不一致,年龄、基线认知能力和人格特质等因素被认为是训练效果的预测指标,而对神经生理标志物的关注有限。θ波和α波频段功率与认知表现相关,这表明这是一个有待进一步研究的潜在领域。本研究旨在确定相对θ波和α波功率及其比率是否能够在排除练习效应(训练课程的顺序)的情况下预测更新和抑制训练的效果。40名健康的中年成年人(年龄在49 - 65岁之间)被随机分配到认知训练组(n = 20)或沟通技巧(对照组)组(n = 20)。两组均每周进行两次自我管理的训练课程,共持续10周,总计20节课程。在第一次课程之前记录静息态脑电图数据。混合效应模型分析显示,较高的顶叶相对α波功率对训练表现有正向预测作用,而θ波功率则对表现有负向预测作用。此外,较高的顶叶α/θ比率与更好的训练结果相关,而额叶α/θ比率则未显示出显著的预测价值。其他脑电图测量指标在排除课程效应的影响后,未显示出额外的预测能力。研究结果表明,具有特定脑电图模式的个体可能会随着认知训练而发生变化,这使得静息态脑电图成为定制干预措施的有用工具。