Arbel Yael, Wu Hao
Department of Communication Sciences and Disorders, Massachusetts General Hospital Institute of Health Professions, Boston, MA, USA.
Psychology Department, Boston College, Chestnut Hill, MA, USA.
Neuropsychologia. 2016 Dec;93(Pt A):13-20. doi: 10.1016/j.neuropsychologia.2016.10.001. Epub 2016 Oct 4.
The efficiency with which one processes external feedback contributes to the speed and quality of one's learning. Previous findings that the feedback related negativity (FRN) event related potential (ERP) is modulated by learning outcomes suggested that this ERP reflects the extent to which feedback is used by the learner to improve performance. To further test this suggestion, we measured whether the FRN and the fronto-central positivity (FCP) that follows it are modulated by learning slopes, and as a function of individual differences in learning outcomes. Participants were tasked with learning names (non-words) of 42 novel objects in a two-choice feedback-based visual learning task. The items were divided into three sets of 14 items, each presented in five learning blocks and a sixth test block. Individual learning slopes based on performance on the task, as well as FRN and FCP slopes based on positive and negative feedback related activation in each block were created for 53 participants. Our data pointed to an interaction between slopes of the FRN elicited by negative feedback and learning slopes, such that a sharper decrease in the amplitude of the FRN to negative feedback was associated with sharper learning slopes. We further examined the predictive power of the FRN and FCP elicited in the training blocks on the learning outcomes as measured by performance on the test blocks. We found that small FRN to negative feedback, large FRN to positive feedback, and large FCP to negative feedback in the first training block predicted better learning outcomes. These results add to the growing evidence that the processes giving rise to the FRN and FCP are sensitive to individual differences in the extent to which feedback is used for learning.
个体处理外部反馈的效率会影响其学习的速度和质量。先前的研究发现,反馈相关负波(FRN)这一事件相关电位(ERP)会受到学习结果的调节,这表明该ERP反映了学习者利用反馈来提高表现的程度。为了进一步验证这一观点,我们测量了FRN及其后的额中央正波(FCP)是否会受到学习斜率的调节,以及是否会因学习结果的个体差异而有所不同。参与者的任务是在基于二选一反馈的视觉学习任务中学习42个新物体的名称(非单词)。这些项目被分成三组,每组14个项目,每组在五个学习块和一个第六测试块中呈现。为53名参与者创建了基于任务表现的个体学习斜率,以及基于每个块中正负反馈相关激活的FRN和FCP斜率。我们的数据表明,由负反馈引发的FRN斜率与学习斜率之间存在相互作用,即FRN对负反馈的幅度下降越明显,学习斜率就越陡。我们进一步研究了训练块中引发的FRN和FCP对学习结果的预测能力,学习结果通过测试块中的表现来衡量。我们发现,在第一个训练块中,对负反馈的FRN较小、对正反馈的FRN较大以及对负反馈的FCP较大,预示着更好的学习结果。这些结果进一步证明,产生FRN和FCP的过程对反馈用于学习的程度的个体差异很敏感。