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别急:丘脑底核在决策中具有动态计算作用。

Hold your horses: a dynamic computational role for the subthalamic nucleus in decision making.

作者信息

Frank Michael J

机构信息

Department of Psychology, Program in Neuroscience, University of Arizona, Tucson, AZ 85721, USA.

出版信息

Neural Netw. 2006 Oct;19(8):1120-36. doi: 10.1016/j.neunet.2006.03.006. Epub 2006 Sep 1.

Abstract

The basal ganglia (BG) coordinate decision making processes by facilitating adaptive frontal motor commands while suppressing others. In previous work, neural network simulations accounted for response selection deficits associated with BG dopamine depletion in Parkinson's disease. Novel predictions from this model have been subsequently confirmed in Parkinson patients and in healthy participants under pharmacological challenge. Nevertheless, one clear limitation of that model is in its omission of the subthalamic nucleus (STN), a key BG structure that participates in both motor and cognitive processes. The present model incorporates the STN and shows that by modulating when a response is executed, the STN reduces premature responding and therefore has substantial effects on which response is ultimately selected, particularly when there are multiple competing responses. Increased cortical response conflict leads to dynamic adjustments in response thresholds via cortico-subthalamic-pallidal pathways. The model accurately captures the dynamics of activity in various BG areas during response selection. Simulated dopamine depletion results in emergent oscillatory activity in BG structures, which has been linked with Parkinson's tremor. Finally, the model accounts for the beneficial effects of STN lesions on these oscillations, but suggests that this benefit may come at the expense of impaired decision making.

摘要

基底神经节(BG)通过促进适应性额叶运动指令同时抑制其他指令来协调决策过程。在先前的研究中,神经网络模拟解释了帕金森病中与BG多巴胺耗竭相关的反应选择缺陷。该模型的新预测随后在帕金森病患者和接受药物激发的健康参与者中得到了证实。然而,该模型一个明显的局限性在于其遗漏了底丘脑核(STN),这是一个参与运动和认知过程的关键BG结构。当前模型纳入了STN,并表明通过调节反应的执行时间,STN减少了过早反应,因此对最终选择的反应有重大影响,特别是当存在多个相互竞争的反应时。皮质反应冲突的增加会通过皮质-底丘脑-苍白球通路导致反应阈值的动态调整。该模型准确地捕捉了反应选择过程中各个BG区域的活动动态。模拟的多巴胺耗竭导致BG结构中出现振荡活动,这与帕金森病震颤有关。最后,该模型解释了STN损伤对这些振荡的有益影响,但表明这种益处可能是以决策受损为代价的。

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