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首页> 外文期刊>The Journal of Neuroscience: The Official Journal of the Society for Neuroscience >Dissociable systems for gain- and loss-related value predictions and errors of prediction in the human brain.
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Dissociable systems for gain- and loss-related value predictions and errors of prediction in the human brain.

机译:可分离的系统,用于与增益和损失相关的值预测以及人脑中的预测误差。

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Midbrain dopaminergic neurons projecting to the ventral striatum code for reward magnitude and probability during reward anticipation and then indicate the difference between actual and predicted outcome. It has been questioned whether such a common system for the prediction and evaluation of reward exists in humans. Using functional magnetic resonance imaging and a guessing task in two large cohorts, we are able to confirm ventral striatal responses coding both reward probability and magnitude during anticipation, permitting the local computation of expected value (EV). However, the ventral striatum only represented the gain-related part of EV (EV+). At reward delivery, the same area shows a reward probability and magnitude-dependent prediction error signal, best modeled as the difference between actual outcome and EV+. In contrast, loss-related expected value (EV-) and the associated prediction error was represented in the amygdala. Thus, the ventral striatum and the amygdala distinctively process the value of a prediction and subsequently compute a prediction error for gains and losses, respectively. Therefore, a homeostatic balance of both systems might be important for generating adequate expectations under uncertainty. Prevalence of either part might render expectations more positive or negative, which could contribute to the pathophysiology of mood disorders like major depression.
机译:投射到腹侧纹状体的中脑多巴胺能神经元在奖励预期期间奖励强度和概率,然后指示实际结果与预测结果之间的差异。人们已经质疑人类中是否存在这样的用于奖励的预测和评估的通用系统。通过在两个大型队列中使用功能磁共振成像和猜测任务,我们能够确定在预测过程中编码奖励概率和幅度的腹侧纹状体反应,从而可以对期望值(EV)进行局部计算。但是,腹侧纹状体仅代表EV(EV +)的增益相关部分。在奖励交付时,同一区域会显示奖励概率和幅度相关的预测误差信号,最好将其建模为实际结果与EV +之间的差异。相反,损失相关的期望值(EV-)和相关的预测误差在杏仁核中表示。因此,腹侧纹状体和杏仁核分别处理预测值,然后分别计算增益和损耗的预测误差。因此,两个系统的稳态平衡对于在不确定性下产生足够的期望可能很重要。任何一部分的患病率都可能使期望更加积极或消极,这可能有助于情绪障碍(如重度抑郁)的病理生理。

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