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首页> 外文期刊>International journal of psychophysiology: official journal of the International Organization of Psychophysiology >Transient and sustained ERP activity related to feedback processing in the probabilistic selection task
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Transient and sustained ERP activity related to feedback processing in the probabilistic selection task

机译:暂行和持续的ERP活动与概率选择任务中的反馈处理相关

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摘要

Feedback processing represents a fundamental component of adaptive decision-making. Extensive research using event-related brain potentials (ERPs) has explored the medial frontal feedback negativity (FN), P3a, and P3b, components in the context of feedback processing. Additionally, recent studies examining the neural correlates of feedback processing in a gambling task revealed transient and sustained ERP activity over the lateral frontal and posterior regions of the scalp. Consistent with the neuroimaging literature, source analysis has localized this ERP activity to the lateral and medial frontal cortex, as well as the temporal-occipital and medial occipital cortices. The current experiments examine whether the pattern of transient medial frontal and sustained lateral frontal and posterior ERP activity extend to a reinforcement learning task, and may thereby represent a general property of feedback processing. Consistent with a large literature, the ERP data revealed the FN-P3a and P3b. In addition, these data revealed sustained ERP activity over the lateral frontal and posterior regions. These findings contribute to our understanding of the temporal dynamics of feedback processing across broadly distributed cortical and subcortical networks that are sensitive to the valence and probability of positive and negative outcomes.
机译:反馈处理代表自适应决策的基本组成部分。使用事件相关的大脑潜力(ERP)的广泛研究已经探索了反馈处理的上下文中的内侧前反馈消极性(FN),P3A和P3B,组件。此外,最近的研究检查了赌博任务中反馈处理的神经相关性揭示了在头皮的横向正面和后部区域上的瞬态和持续的ERP活动。与神经影像学文献一致,源分析已经将该ERP活性局限于横向和内侧前皮层,以及颞枕和内侧枕部皮质。目前的实验检查瞬态内侧正面和持续的横向前部和后ERP活动的模式是否延伸到加强学习任务,从而可以代表反馈处理的一般特性。与大文献一致,ERP数据显示FN-P3A和P3B。此外,这些数据在横向前部和后部区域上显示了持续的ERP活动。这些调查结果有助于我们了解跨广泛分布的皮质和皮质标准的反馈处理的时间动态,这些网络对阳性和负面结果的价值和概率敏感。

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