Raynal Elsa, Schipper Kate, Brandner Catherine, Ruggeri Paolo, Barral Jérôme
Brain Electrophysiology Attention Movement Laboratory, Institute of Psychology, University of Lausanne, Lausanne, Switzerland.
Institute of Sport Sciences, University of Lausanne, Lausanne, Switzerland.
NPJ Sci Learn. 2024 Mar 18;9(1):20. doi: 10.1038/s41539-024-00236-8.
Associative learning abilities vary considerably among individuals, with attentional processes suggested to play a role in these variations. However, the relationship between attentional processes and individual differences in associative learning remains unclear, and whether these variations reflect in event-related potentials (ERPs) is unknown. This study aimed to investigate the relationship between attentional processes and associative learning by recording electrocortical activity of 38 young adults (18-32 years) during an associative learning task. Learning performance was assessed using the signal detection index d'. EEG topographic analyses and source localizations were applied to examine the neural correlates of attention and associative learning. Results revealed that better learning scores are associated with (1) topographic differences during early (126-148 ms) processing of the stimulus, coinciding with a P1 ERP component, which corresponded to a participation of the precuneus (BA 7), (2) topographic differences at 573-638 ms, overlapping with an increase of global field power at 530-600 ms, coinciding with a P3b ERP component and localized within the superior frontal gyrus (BA11) and (3) an increase of global field power at 322-507 ms, underlay by a stronger participation of the middle occipital gyrus (BA 19). These insights into the neural mechanisms underlying individual differences in associative learning suggest that better learners engage attentional processes more efficiently than weaker learners, making more resources available and displaying increased functional activity in areas involved in early attentional processes (BA7) and decision-making processes (BA11) during an associative learning task. This highlights the crucial role of attentional mechanisms in individual learning variability.
联想学习能力在个体之间存在很大差异,注意力过程被认为在这些差异中起作用。然而,注意力过程与联想学习中的个体差异之间的关系仍不清楚,这些差异是否反映在事件相关电位(ERP)中也未知。本研究旨在通过记录38名年轻成年人(18 - 32岁)在联想学习任务期间的脑电活动,来研究注意力过程与联想学习之间的关系。使用信号检测指数d'评估学习表现。应用脑电图地形图分析和源定位来检查注意力和联想学习的神经相关性。结果显示,更好的学习成绩与以下因素相关:(1)在刺激早期(126 - 148毫秒)处理过程中的地形图差异,与P1 ERP成分一致,该成分对应于楔前叶(BA 7)的参与;(2)573 - 638毫秒时的地形图差异,与530 - 600毫秒时全局场功率的增加重叠,与P3b ERP成分一致,且定位在额上回(BA11)内;(3)322 - 507毫秒时全局场功率的增加,由枕中回(BA 19)更强的参与作为基础。这些对联想学习中个体差异潜在神经机制的见解表明,与较弱的学习者相比,较好的学习者在联想学习任务中更有效地运用注意力过程,使更多资源可用,并在涉及早期注意力过程(BA7)和决策过程(BA11)的区域显示出增强的功能活动。这突出了注意力机制在个体学习变异性中的关键作用。