Amygdala-cortical collaboration in reward learning and decision making.
Amygdala-cortical collaboration in reward learning and decision making.
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DOI：
10.7554/elife.80926
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发表时间：
2022-09-05
期刊：
影响因子：
7.7
通讯作者：
Wassum, Kate M.
中科院分区：
文献类型：
--
作者：
Wassum, Kate M.
关键词：
适应性奖励相关决策需要对每个选项的具体结果及其当前的可取性进行准确的前瞻性考虑。这些心理模拟是通过存储在环境中存在的联想关系的记忆来进行的。在这篇综述中，我讨论了最近关于基底外侧杏仁核（BLA）和外侧（lOFC）和内侧（mOFC）眶额皮质之间的电路在联想奖励记忆的学习和使用中的功能的研究。我从收集的数据中得出结论，这些数据使用复杂的行为方法来诊断食欲记忆的内容，并结合现代电路解剖工具。我认为，通过它们直接的双向连接，BLA和OFC合作，帮助我们对详细的、结果特定的、状态依赖的奖励记忆进行编码，并利用这些记忆来实现支持适应性决策的预测和推论。lOFC→BLA投射调节结果特异性奖励记忆的编码，而mOFC→BLA投射调节使用这些记忆来通知奖励追求决策的能力。BLA对lOFC和mOFC的投射都有助于使用奖励记忆来指导决策。BLA→lOFC通路介导表征特定预测奖励身份的能力，BLA→mOFC通路促进对预测事件价值的理解。因此，我概述了奖励学习和决策的神经元电路结构，并提供了新的可测试的假设，以及适应性和非适应性决策的含义。
Adaptive reward-related decision making requires accurate prospective consideration of the specific outcome of each option and its current desirability. These mental simulations are informed by stored memories of the associative relationships that exist within an environment. In this review, I discuss recent investigations of the function of circuitry between the basolateral amygdala (BLA) and lateral (lOFC) and medial (mOFC) orbitofrontal cortex in the learning and use of associative reward memories. I draw conclusions from data collected using sophisticated behavioral approaches to diagnose the content of appetitive memory in combination with modern circuit dissection tools. I propose that, via their direct bidirectional connections, the BLA and OFC collaborate to help us encode detailed, outcome-specific, state-dependent reward memories and to use those memories to enable the predictions and inferences that support adaptive decision making. Whereas lOFC→BLA projections mediate the encoding of outcome-specific reward memories, mOFC→BLA projections regulate the ability to use these memories to inform reward pursuit decisions. BLA projections to lOFC and mOFC both contribute to using reward memories to guide decision making. The BLA→lOFC pathway mediates the ability to represent the identity of a specific predicted reward and the BLA→mOFC pathway facilitates understanding of the value of predicted events. Thus, I outline a neuronal circuit architecture for reward learning and decision making and provide new testable hypotheses as well as implications for both adaptive and maladaptive decision making.