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Reward Contingencies and the Recalibration of Task Monitoring and Reward Systems: A high-density electrical mapping study

机译:奖励意外情况和任务监控与奖励系统的重新校准:高密度电气映射研究

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摘要

Task execution almost always occurs in the context of reward-seeking or punishment-avoiding behavior. As such, ongoing task monitoring systems are influenced by reward anticipation systems. In turn, when a task has been executed either successfully or unsuccessfully, future iterations of that task will be re-titrated on the basis of the task outcome. Here, we examined the neural underpinnings of the task-monitoring and reward-evaluation systems to better understand how they govern reward seeking behavior. Twenty-three healthy adult participants performed a task where they accrued points that equated to real world value (gift cards) by responding as rapidly as possible within an allotted timeframe, while success rate was titrated online by changing the duration of the timeframe dependent on participant performance. Informative cues initiated each trial, indicating the probability of potential reward or loss (four levels from very low to very high). We manipulated feedback by first informing participants of task success/failure, after which a second feedback signal indicated actual magnitude of reward/loss. High-density EEG recordings allowed for examination of event-related potentials (ERPs) to the informative cues and in turn, to both feedback signals. Distinct ERP components associated with reward cues, task preparatory and task monitoring processes, and reward feedback processes were identified. Unsurprisingly, participants displayed increased ERP amplitudes associated with task preparatory processes following cues that predicted higher chances of reward. They also rapidly updated reward and loss prediction information dependent on task performance after the first feedback signal. Finally, upon reward receipt, initial reward probability was no longer taken into account. Rather, ERP measures suggested that only the magnitude of actual reward or loss was now processed. Reward and task monitoring processes are clearly dissociable, but interact across very fast timescales to update reward predictions as information about task success or failure is accrued. Careful delineation of these processes will be useful in future investigations in clinical groups where such processes are suspected of having gone awry.
机译:任务执行几乎总是在寻求奖励或避免惩罚行为的背景下发生。这样,正在进行的任务监控系统会受到奖励预期系统的影响。反过来,当任务成功或失败执行后,该任务的未来迭代将根据任务结果重新调整。在这里,我们研究了任务监控和奖励评估系统的神经基础,以更好地了解它们如何控制寻求奖励的行为。 23名健康的成年人参加者完成了一项任务,他们通过在指定的时间范围内尽可能迅速地做出响应,从而累积了相当于真实世界价值的积分(礼品卡),而在线成功率则通过更改依赖于参与者的时间范围来在线确定性能。每次试验都会提供信息性提示,表明潜在奖励或损失的可能性(从非常低到非常高的四个级别)。我们通过首先通知参与者任务成功/失败来操纵反馈,此后,第二个反馈信号指示奖励/损失的实际大小。高密度脑电图记录可以检查事件相关电位(ERP)的信息提示,进而检查两个反馈信号。确定了与奖励线索,任务准备和任务监视过程以及奖励反馈过程相关的不同ERP组件。毫不奇怪,参与者根据预测更高奖励机会的线索显示出与任务准备过程相关的ERP振幅增加。他们还根据第一个反馈信号后的任务性能快速更新了奖励和损失预测信息。最后,在收到奖励后,不再考虑初始奖励概率。相反,ERP措施表明,现在仅处理了实际报酬或损失的幅度。奖励和任务监视过程显然是可分离的,但是当累积有关任务成功或失败的信息时,可以跨非常快的时间范围进行交互以更新奖励预测。仔细描述这些过程将对将来怀疑怀疑这些过程出错的临床组的调查很有用。

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