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帕金森病中的行为重编程:多巴胺水平调节对预测误差的反应。

Action reprogramming in Parkinson's disease: response to prediction error is modulated by levels of dopamine.

机构信息

Sobell Department of Motor Neuroscience and Movement Disorders, Institute of Neurology, University College London, London, WC1N 3BG, UK.

出版信息

J Neurosci. 2012 Jan 11;32(2):542-50. doi: 10.1523/JNEUROSCI.3621-11.2012.

Abstract

Humans are able to use knowledge of previous events to estimate the probability of future actions. Consequently, an unexpected event will elicit a prediction error as the prepared action has to be replaced by an unprepared option in a process known as "action reprogramming" (AR). Here we show that people with Parkinson's disease (PD) have a dopamine-sensitive deficit in AR that is proportional to the size of the prediction error. Participants performed a probabilistic reaction time (RT) task in the context of either a predictable or unpredictable environment. For an overall predictable sequence, PD patients, on and off dopamine medication, and healthy controls showed similar improvements in RT. However, in the context of a generally predictable sequence, PD patients off medication were impaired in reacting to unexpected events that elicit large prediction errors and require AR. Critically, this deficit in AR was modulated by the prediction error associated with the upcoming event. The prolongation of RT was not observed during an overall unpredictable sequence, in which relatively unexpected events evoke little prediction error and the requirement for AR should be minimal, given the context. The data are compatible with recent theoretical accounts suggesting that levels of dopamine encode the reliability, i.e., precision, of sensory information. In this scheme, PD patients off medication have low dopamine levels and may therefore be less confident about incoming sensory information and more reliant on top-down predictions. Consequently, when these internal predictions are incorrect, PD patients take longer to respond appropriately to unexpected sensory information.

摘要

人类能够利用先前事件的知识来估计未来行为的概率。因此,一个意外事件会引起预测误差,因为准备好的行动必须被一个未准备好的选项所取代,这个过程被称为“动作重新编程”(AR)。在这里,我们表明,帕金森病(PD)患者的 AR 存在多巴胺敏感缺陷,这种缺陷与预测误差的大小成正比。参与者在可预测或不可预测的环境中执行概率反应时间(RT)任务。对于一个整体可预测的序列,服用多巴胺药物和未服用多巴胺药物的 PD 患者以及健康对照者的 RT 都有相似的改善。然而,在一个普遍可预测的序列中,未服用药物的 PD 患者在反应大预测误差和需要 AR 的意外事件时会受到损害。关键的是,这种 AR 缺陷是由即将发生的事件相关的预测误差来调节的。在整体不可预测的序列中,没有观察到 RT 的延长,在这种情况下,相对意外的事件引起的预测误差较小,并且由于上下文的原因,对 AR 的要求应该最小。这些数据与最近的理论解释一致,即多巴胺水平编码感觉信息的可靠性,即精度。在这种方案中,未服用药物的 PD 患者多巴胺水平较低,因此他们可能对传入的感觉信息不太有信心,并且更依赖于自上而下的预测。因此,当这些内部预测不正确时,PD 患者需要更长的时间来对意外的感觉信息做出适当的反应。

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