A role beyond learning for NMDA receptors in reward-based decision-making-a pharmacological study using d-cycloserine.

A role beyond learning for NMDA receptors in reward-based decision-making-a pharmacological study using d-cycloserine.
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DOI:
10.1038/npp.2014.144
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发表时间:
2014-11
影响因子:
7.6
通讯作者:
Reinecke, Andrea
Reinecke, Andrea
中科院分区:
医学1区
文献类型:
--
作者:
Scholl, Jacqueline;Guenthner, Jan;Kolling, Nils;Favaron, Elisa;Rushworth, Matthew F. S.;Harmer, Catherine J.;Reinecke, Andrea

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已知N-甲基-D-天冬氨酸(NMDA)受体在许多形式的学习和可塑性中发挥重要作用。然而,最近的生物物理模型表明,NMDA受体在决策的证据整合中发挥了额外的作用,超越了它们在学习中的作用。我们设计了一个任务来研究NMDA受体在人类奖励导向学习和决策中的作用。人类参与者被分配接受250 mg部分NMDA激动剂d-环丝氨酸(n=20)或匹配的安慰剂胶囊(n=27)。奖励引导的学习和决策进行了评估,使用的任务中,参与者必须整合学习和明确显示的价值信息,以最大限度地提高他们的货币收益,并尽量减少他们的损失。为了区分NMDA对学习和决策的影响,我们使用了简单的学习模型。在没有直接学习效应的情况下,D-环丝氨酸将决策转向更优化的学习和明确显示的信息整合。总之,我们的研究结果揭示了一个独特的作用,NMDA受体奖励指导决策。我们讨论了这些发现的背景下,NMDA的作用,神经元的超可加性和决策的证据整合的关键。
N-methyl-D-aspartate (NMDA) receptors are known to fulfil crucial functions in many forms of learning and plasticity. More recently, biophysical models however have suggested an additional role of NMDA receptors in evidence integration for decision-making, going beyond their role in learning. We designed a task to study the role of NMDA receptors in human reward-guided learning and decision-making. Human participants were assigned to receive either 250mg of the partial NMDA agonist d-cycloserine (n=20) or matching placebo capsules (n=27). Reward-guided learning and decision-making were assessed using a task in which participants had to integrate learnt and explicitly shown value information to maximize their monetary wins and minimize their losses. To tease apart the effects of NMDA on learning and decision-making we used simple learning models. D-cycloserine shifted decision making towards a more optimal integration of the learnt and the explicitly shown information, in the absence of a direct learning effect. In conclusion, our results reveal a distinct role for NMDA receptors reward-guided decision-making. We discuss these findings in the context of NMDA’s roles in neuronal super-additivity and as crucial for evidence integration for decisions.
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