Psychology and Movement Science, Department of Sport and Health, Paderborn University, Germany.
Psychology and Movement Science, Department of Sport and Health, Paderborn University, Germany.
Neuroscience. 2022 Mar 15;486:20-36. doi: 10.1016/j.neuroscience.2021.04.018. Epub 2021 May 1.
To examine the neural processing of valence-dependent augmented feedback, 38 students learned a sequential arm movement task with 192 trials in each of five practice sessions. The degree of motor automatization was tested under dual-task-conditions. Electroencephalogram (EEG) was recorded in the first and last practice session. This study is an additional analysis of the data from Margraf et al. [Margraf, L., Krause, D., & Weigelt, M. (this issue). Valence-dependent neural correlates of augmented feedback processing in extensive motor sequence learning - Part I: Practice-related changes of feedback processing.]. While Part I focused on changes in neural feedback processing after extensive motor practice, Part II examines coherences between neural feedback processing and short-term behavioral adaptations, as well as different dimensions of long-term learning (i.e., accuracy, consistency, and automaticity). It was found that more negative amplitudes of the feedback-related-negativity (FRN) after negative feedback were predictive for goal-independent changes of behavior in the early practice phase, whereas more positive amplitudes of the late fronto-central positivity (LFCP) after negative feedback were predictive for goal-directed behavioral adaptations (error reduction), independent from the practice phase. Unexpectedly, more positive amplitudes of the P300 after positive feedback were also predictive for goal-directed behavioral adaptations. Concerning long-term learning and motor automatization, a positive correlation was found for the reduction of dual-task costs (DTC) and LFCP-amplitudes after positive feedback in the early practice.
为了研究价值依赖增强反馈的神经处理,38 名学生在五个练习阶段的每个阶段学习了 192 次顺序手臂运动任务。在双重任务条件下测试了运动自动化程度。在第一次和最后一次练习中记录了脑电图(EEG)。这项研究是对 Margraf 等人的数据的额外分析。[Margraf,L.,Krause,D.,&Weigelt,M.(本期)。在广泛的运动序列学习中增强反馈处理的价值相关神经相关性 - 第一部分:练习相关的反馈处理变化。]虽然第 I 部分侧重于广泛运动练习后神经反馈处理的变化,但第 II 部分检查了神经反馈处理与短期行为适应之间的相干性,以及长期学习的不同维度(即准确性、一致性和自动化)。结果发现,负反馈后的反馈相关负波(FRN)的负振幅越大,在早期练习阶段对行为的无目标变化的预测性越强,而负反馈后的晚期额中央正波(LFCP)的正振幅越大,对无目标的行为适应(减少错误)的预测性越强,与练习阶段无关。出乎意料的是,正反馈后的 P300 的正振幅也能预测目标导向的行为适应。关于长期学习和运动自动化,在早期练习中,正向反馈后的双任务成本(DTC)和 LFCP 振幅减少与正相关。