Suzuki Shinsuke, Cross Logan, O'Doherty John P
Division of the Humanities and Social Sciences, California Institute of Technology, Pasadena, CA, USA.
Frontier Research Institute for Interdisciplinary Sciences, Tohoku University, Sendai, Japan.
Nat Neurosci. 2017 Dec;20(12):1780-1786. doi: 10.1038/s41593-017-0008-x. Epub 2017 Oct 23.
The valuation of food is a fundamental component of our decision-making. Yet little is known about how value signals for food and other rewards are constructed by the brain. Using a food-based decision task in human participants, we found that subjective values can be predicted from beliefs about constituent nutritive attributes of food: protein, fat, carbohydrates and vitamin content. Multivariate analyses of functional MRI data demonstrated that, while food value is represented in patterns of neural activity in both medial and lateral parts of the orbitofrontal cortex (OFC), only the lateral OFC represents the elemental nutritive attributes. Effective connectivity analyses further indicate that information about the nutritive attributes represented in the lateral OFC is integrated within the medial OFC to compute an overall value. These findings provide a mechanistic account for the construction of food value from its constituent nutrients.
食物的估值是我们决策的一个基本组成部分。然而,关于大脑如何构建食物和其他奖励的价值信号,我们却知之甚少。通过在人类参与者中使用基于食物的决策任务,我们发现主观价值可以从对食物组成营养属性(蛋白质、脂肪、碳水化合物和维生素含量)的信念中预测出来。对功能磁共振成像数据的多变量分析表明,虽然食物价值在眶额皮质(OFC)内侧和外侧的神经活动模式中都有体现,但只有外侧OFC代表了基本的营养属性。有效连接性分析进一步表明,外侧OFC中所代表的营养属性信息在内侧OFC中进行整合,以计算出一个总体价值。这些发现为从食物的组成营养素构建食物价值提供了一个机制性解释。