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基底神经节在类别学习中的作用:帕金森病患者如何学习?

Role of the basal ganglia in category learning: how do patients with Parkinson's disease learn?

作者信息

Shohamy D, Myers C E, Onlaor S, Gluck M A

机构信息

Center for Molecular and Behavioral Neuroscience, Rutgers, the State University of New Jersey, NJ, USA.

出版信息

Behav Neurosci. 2004 Aug;118(4):676-86. doi: 10.1037/0735-7044.118.4.676.

Abstract

The purpose of the present study was to gain a deeper understanding of the role of the basal ganglia in learning and memory by examining learning strategies among patients with basal ganglia dysfunction. Using a probabilistic category learning task (the "weather prediction" task) previously shown to be sensitive to basal ganglia function, the authors examined patterns of performance during learning and used mathematical models to capture different learning strategies. Results showed that patients with Parkinson's disease exhibit different patterns of strategy use. Specifically, most controls initially used a simple, but suboptimal, strategy that focused on single-cue-outcome associations; eventually, however, most controls adopted a more complex, optimal learning strategy, integrating single-cue associations to predict outcomes for multiple-cue stimuli. In contrast, the majority of individuals with Parkinson's disease continued to rely on simple single-cue learning strategies throughout the experiment.

摘要

本研究的目的是通过检查基底神经节功能障碍患者的学习策略,更深入地了解基底神经节在学习和记忆中的作用。作者使用先前已证明对基底神经节功能敏感的概率类别学习任务(“天气预报”任务),检查了学习过程中的表现模式,并使用数学模型来捕捉不同的学习策略。结果表明,帕金森病患者表现出不同的策略使用模式。具体而言,大多数对照组最初使用一种简单但次优的策略,该策略侧重于单线索-结果关联;然而,最终大多数对照组采用了更复杂、最优的学习策略,整合单线索关联以预测多线索刺激的结果。相比之下,大多数帕金森病患者在整个实验过程中继续依赖简单的单线索学习策略。

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