Juras Luka, Vranic Andrea, Hromatko Ivana
Department of Psychology, Faculty of Humanities and Social Sciences, University of Zagreb, 10000 Zagreb, Croatia.
Brain Sci. 2024 Dec 29;15(1):22. doi: 10.3390/brainsci15010022.
BACKGROUND/OBJECTIVES: Cognitive training paradigms rely on the idea that consistent practice can drive neural plasticity, improving not only connectivity within critical brain networks, but also ultimately result in overall enhancement of trained cognitive functions, irrespective of the specific task. Here we opted to investigate the temporal dynamics of neural activity and cognitive performance during a structured cognitive training program.
A group of 20 middle-aged participants completed 20 training sessions over 10 weeks. Quantitative EEG (qEEG) parameters, including alpha and theta power, alpha/theta ratio, and fronto-parietal coherence, were analyzed at four time points to assess changes in neural activity.
Results revealed significant overall improvements in the trained task (n-back) performance, without an effect on the untrained task (OSPAN). qEEG analyses showed increased change in posterior (and a less robust in frontal) alpha power, particularly during mid-training, suggesting an improved neural efficiency in regions associated with attentional allocation and task engagement. Theta power remained stable across sessions, indicating a limited influence on neural processes underlying working memory and attentional control. The parietal alpha/theta ratio showed weak increases during mid-training, reflecting subtle shifts in the neural efficacy and cognitive engagement. There were no significant changes in functional connectivity between frontal and parietal locations.
Our findings suggest that cognitive training primarily influences localized neural activity, rather than network-level connectivity. This lack of a longer-range network-level effect might also explain the failure of cognitive training paradigms to induce performance enhancements on the untrained tasks.
背景/目的:认知训练范式基于这样一种观点,即持续练习可以驱动神经可塑性,不仅能改善关键脑网络内的连通性,而且最终能全面提升训练后的认知功能,而与具体任务无关。在此,我们选择研究结构化认知训练项目期间神经活动和认知表现的时间动态变化。
一组20名中年参与者在10周内完成了20次训练课程。在四个时间点分析了定量脑电图(qEEG)参数,包括α和θ功率、α/θ比值以及额顶叶相干性,以评估神经活动的变化。
结果显示,训练任务(n-back)的表现有显著的整体改善,而对未训练任务(OSPAN)没有影响。qEEG分析表明,后部(前部的变化较弱)α功率的变化增加,特别是在训练中期,这表明与注意力分配和任务参与相关区域的神经效率有所提高。θ功率在各次训练中保持稳定,表明对工作记忆和注意力控制背后的神经过程影响有限。顶叶α/θ比值在训练中期略有增加,反映了神经效能和认知参与的细微变化。额顶叶位置之间的功能连接没有显著变化。
我们的研究结果表明,认知训练主要影响局部神经活动,而非网络层面的连通性。这种缺乏远距离网络层面效应的情况也可能解释了认知训练范式未能在未训练任务上提高表现的原因。