ERP studies commonly utilize gambling-based reinforcement tasks to elicit feedback negativity (FN) responses. This study used a pattern learning task in order to limit gambling-related fallacious reasoning and possible affective responses to gambling, while investigating relationships between the FN components between high and low reward expectation conditions. Eighteen undergraduates completed measures of reinforcement sensitivity, trait and state affect, and psychophysiological recording. The pattern learning task elicited a FN component for both high and low win expectancy conditions, which was found to be independent of reward expectation and showed little relationship with task and personality variables. We also observed a P3 component, which showed sensitivity to outcome expectancy variation and relationships to measures of anxiety, appetitive motivation, and cortical asymmetry, although these varied by electrode location and expectancy condition. Findings suggest that the FN reflected a binary reward-related signal, with little relationship to reward expectation found in previous studies, in the absence of positive affective responses.

中文翻译：

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这不是您所期望的：在非概率性任务中，反馈否定与奖励期望和情感响应无关。

ERP研究通常利用基于赌博的强化任务来引起反馈负反馈（FN）响应。这项研究使用了一种模式学习任务，以限制与赌博相关的谬误推理和对赌博可能的情感反应，同时调查了高和低奖励期望条件之间的FN成分之间的关​​系。18名大学生完成了增强敏感性，特质和状态影响以及心理生理学记录的测量。模式学习任务在高和低获胜期望条件下都引发了FN分量，这被发现与奖励期望无关，并且与任务和个性变量几乎没有关系。我们还观察到了P3成分，该成分显示出对预期结果变化的敏感性以及与焦虑量度的关系，食欲动机和皮质不对称性，尽管这些因电极位置和预期条件而异。研究结果表明，在没有积极的情感反应的情况下，FN反映了一个与二元奖励相关的信号，与先前研究中发现的奖励期望几乎没有关系。