Predictive neural coding of reward preference involves dissociable responses in human ventral midbrain and ventral striatum
Predictive neural coding of reward preference involves dissociable responses in human ventral midbrain and ventral striatum
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DOI：
10.1016/j.neuron.2005.11.014
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发表时间：
2006-01-05
期刊：
影响因子：
16.2
通讯作者：
Dolan, RJ
中科院分区：
文献类型：
--
作者：
O'Doherty, JP;Buchanan, TW;Dolan, RJ
食物偏好是通过经验获得的，可以对选择行为产生强烈的影响。为了选择食用哪种食物，有必要保持对相关食物刺激的主观价值的预测性表示。在这里，我们探索神经机制，通过经典的条件反射学习这种预测性表征。人类受试者在学习任意视觉刺激和随后提供的五种不同食物味道之一之间的联系时，使用功能磁共振成像进行扫描。使用时差算法来模拟学习，我们在腹侧中脑和腹侧纹状体(腹侧壳核)的一部分中发现了与受试者实际行为偏好直接相关的预测性反应。这些脑结构表现出不同的反应轮廓，腹侧中脑呈现出具有偏好的线性反应轮廓，而腹侧纹状体呈现二价反应。这些结果为人类偏好行为背后的神经机制提供了洞察力。
Food preferences are acquired through experience and can exert strong influence on choice behavior. In order to choose which food to consume, it is necessary to maintain a predictive representation of the subjective value of the associated food stimulus. Here, we explore the neural mechanisms by which such predictive representations are learned through classical conditioning. Human subjects were scanned using fMRI while learning associations between arbitrary visual stimuli and subsequent delivery of one of five different food flavors. Using a temporal difference algorithm to model learning, we found predictive responses in the ventral midbrain and a part of ventral striatum (ventral putamen) that were related directly to subjects' actual behavioral preferences. These brain structures demonstrated divergent response profiles, with the ventral midbrain showing a linear response profile with preference, and the ventral striatum a bivalent response. These results provide insight into the neural mechanisms underlying human preference behavior.