The role of dopamine in anterior cingulate prediction errors

多巴胺在前扣带回预测误差中的作用

• 批准号: 8638633
• 负责人: Joni D Wallis
• 金额: $ 24.9万
• 依托单位: UNIVERSITY OF CALIFORNIA BERKELEY
• 依托单位国家: 美国
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-09-15 至 2016-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8638633
• 关键词: Accounting; Addictive Behavior; Affect; Animals; Anterior; Area; Attention; Attenuated; Behavior; Brain; Cerebral hemisphere; Cocaine; Code; Computer Simulation; Coupled; Data; Decision Making; Development; Devices; Disease; Dopamine; Dose; Electrodes; Future; Grant; Infusion procedures; Lateral; Learning; Medial; Nature; Neurons; Outcome; Pattern; Performance; Pharmaceutical Preparations; Play; Prefrontal Cortex; Principal Investigator; Probability; Process; Psychological reinforcement; Relative (related person); Rewards; Role; Short-Term Memory; Signal Transduction; Structure; Surface; System; Systems Theory; Task Performances; Techniques; Technology; Training; Work; addiction; base; cingulate cortex; cost; design; dopamine system; dopaminergic neuron; drug of abuse; frontal lobe; millimeter; neuropsychiatry; novel therapeutics; programs; public health relevance; relating to nervous system; response; theories

Project summary (<=30 lines) Dopamine signals are thought to be critical for learning. They consist of a baseline tonic firing rate on which a phasic pattern of firing is superimposed. The phasic component of the signal encodes a prediction error, which is the difference between what you expected to happen and what actually happened. Prediction errors can be used to reinforce future behavior. If an outcome was better than expected, you should be more likely to repeat that behavior in future. In contrast, if an outcome was worse than anticipated, you should be less likely to repeat that behavior. Delineating the role of dopamine in reinforcement learning could have important implications for addiction. A common feature of drugs of abuse is their ability to activate the dopamine system and theories of addiction suggest that the inappropriate activation of dopamine is what causes the strengthening of addictive behaviors. Recently, we have discovered that neurons in one part of the frontal lobe, the anterior cingulate cortex (ACC), also encode prediction errors. ACC is one of the heaviest recipients of dopaminergic input in the frontal lobe and is thought to play an important role in enabling rewards to guide the selection of actions. Thus, a critical question is to what extent these frontal lobe prediction error signals depend on dopamine. One problem with answering this question is that ACC is relatively inaccessible. It is located several millimeters from the surface of the brain, on the medial wall of the cerebral hemisphere. However, recent advances in electrode technology have led to the development of an injectrode that can infuse pharmacological agents while simultaneously recording the electrical activity of single neurons. This project will use this device to determine the effect of dopamine on ACC encoding. Specifically, we will train two animals to make choices between pictures that vary in terms of their probability of delivering a reward. During the performance of this task, we will simultaneously record the activity of ACC neurons while infusing either vehicle or the D1 antagonist SCH23390. We predict that infusion of the D1 antagonist will attenuate prediction error signals in ACC, thereby demonstrating that ACC prediction error signals depend on dopamine.

项目摘要（<= 30行） 多巴胺信号被认为对学习至关重要。它们由一个基线滋补率组成 发射的阶段模式被叠加。信号的音阶组件编码一个预测误差，该误差 是您期望发生的事情与实际发生的事情之间的区别。预测错误可能是 用于加强未来的行为。如果结果比预期的要好，那么您应该更有可能重复 将来的行为。相反，如果结果比预期的要差，那么您应该不太可能 重复该行为。描述多巴胺在增强学习中的作用可能具有重要的 对成瘾的影响。滥用药物的共同特征是它们激活多巴胺系统的能力 成瘾的理论表明，多巴胺的不适当激活是引起的 加强成瘾行为。 最近，我们发现额叶的一部分的神经元，前扣带回皮层（ACC）， 还编码预测错误。 ACC是额叶中多巴胺能输入的最重的接受者之一 并被认为在使奖励指导行动的选择方面发挥着重要作用。因此，一个批判 问题是这些额叶预测误差信号在多大程度上取决于多巴胺。一个问题 回答这个问题是ACC相对无法访问。它位于距表面几毫米 大脑，在大脑半球的内壁上。但是，电极技术的最新进展 导致了可以注入药理剂同时注入药理剂的注射剂的发展 记录单神经元的电活动。该项目将使用此设备来确定 ACC编码上的多巴胺。具体来说，我们将训练两只动物，在不同的图片之间做出选择 就他们提供奖励的可能性而言。在执行此任务期间，我们将同时 记录ACC神经元的活性，同时注入媒介物或D1拮抗剂SCH23390。我们预测 D1拮抗剂的输注会减弱ACC中的预测错误信号，从而证明 ACC预测误差信号取决于多巴胺。