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Distinct roles of dopamine and subthalamic nucleus in learning and probabilistic decision making

机译:多巴胺和丘脑底核在学习和概率决策中的不同作用

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摘要

Even simple behaviour requires us to make decisions based on combining multiple pieces of learned and new information. Making such decisions requires both learning the optimal response to each given stimulus as well as combining probabilistic information from multiple stimuli before selecting a response. Computational theories of decision making predict that learning individual stimulus–response associations and rapid combination of information from multiple stimuli are dependent on different components of basal ganglia circuitry. In particular, learning and retention of memory, required for optimal response choice, are significantly reliant on dopamine, whereas integrating information probabilistically is critically dependent upon functioning of the glutamatergic subthalamic nucleus (computing the ‘normalization term’ in Bayes’ theorem). Here, we test these theories by investigating 22 patients with Parkinson’s disease either treated with deep brain stimulation to the subthalamic nucleus and dopaminergic therapy or managed with dopaminergic therapy alone. We use computerized tasks that probe three cognitive functions—information acquisition (learning), memory over a delay and information integration when multiple pieces of sequentially presented information have to be combined. Patients performed the tasks ON or OFF deep brain stimulation and/or ON or OFF dopaminergic therapy. Consistent with the computational theories, we show that stopping dopaminergic therapy impairs memory for probabilistic information over a delay, whereas deep brain stimulation to the region of the subthalamic nucleus disrupts decision making when multiple pieces of acquired information must be combined. Furthermore, we found that when participants needed to update their decision on the basis of the last piece of information presented in the decision-making task, patients with deep brain stimulation of the subthalamic nucleus region did not slow down appropriately to revise their plan, a pattern of behaviour that mirrors the impulsivity described clinically in some patients with subthalamic nucleus deep brain stimulation. Thus, we demonstrate distinct mechanisms for two important facets of human decision making: first, a role for dopamine in memory consolidation, and second, the critical importance of the subthalamic nucleus in successful decision making when multiple pieces of information must be combined.
机译:即使是简单的行为,也需要我们根据多个已获知的信息和新信息进行决策。做出这样的决定既需要学习对每个给定刺激​​的最佳响应,也需要在选择响应之前组合来自多个刺激的概率信息。决策的计算理论预测,学习个体的刺激-反应关联以及来自多种刺激的信息的快速组合取决于基底神经节回路的不同组成部分。特别是,最佳反应选择所需要的学习和记忆力很大程度上依赖于多巴胺,而概率整合信息则主要取决于谷氨酸能的丘脑丘脑底核的功能(计算贝叶斯定理中的“归一化项”)。在这里,我们通过调查22名帕金森氏病患者来检验这些理论,这些患者要么接受了对丘脑下丘脑核的深部脑刺激并接受了多巴胺能治疗,要么仅接受了多巴胺能治疗。我们使用计算机化的任务来探究三种认知功能-信息获取(学习),延迟存储和必须整合多个顺序呈现的信息时的信息集成。患者执行开或关深脑刺激和/或开或关多巴胺能疗法的任务。与计算理论一致,我们表明停止多巴胺能疗法会延迟延迟概率信息的记忆,而当必须合并多个获取的信息时,深丘脑对丘脑底核区域的刺激会破坏决策。此外,我们发现,当参与者需要根据决策任务中提供的最后一条信息更新他们的决策时,对丘脑底核区域进行深层脑刺激的患者并没有适当放慢速度来修改其计划,这种行为模式反映了某些丘脑底核深部脑刺激患者临床上所描述的冲动。因此,我们展示了人类决策的两个重要方面的独特机制:首先,多巴胺在记忆整合中的作用,其次,当必须合并多个信息时,丘脑底核在成功决策中至关重要。

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