Filoteo J Vincent, Maddox W Todd, Salmon David P, Song David D
Department of Psychiatry, University of California, San Diego, CA, USA.
Neuropsychology. 2005 Mar;19(2):212-22. doi: 10.1037/0894-4105.19.2.212.
Information-integration category learning was examined in patients with Parkinson's disease (PD) and in healthy control participants in 2 different conditions. In the linear condition, optimal categorization required a nonverbalizable linear integration of information from the 2 stimulus dimensions, whereas in the nonlinear condition, a nonlinear integration of information was required. Each participant completed 600 trials in each condition and was given corrective feedback following each trial. Results indicated that PD patients were not impaired in the linear condition across all trials, whereas the same patients were impaired in the nonlinear condition, but only later in training. The authors conducted model-based analyses to identify participants who used an information-integration approach, and a comparison of the accuracy rates of those individuals further revealed a specific deficit in information-integration category learning in patients with PD. These findings suggest that the striatum may be particularly involved in information-integration category learning when the rule is highly complex.
在两种不同条件下，对帕金森病（PD）患者和健康对照参与者进行了信息整合类别学习研究。在线性条件下，最佳分类需要对来自两个刺激维度的信息进行不可言传的线性整合，而非线性条件下，则需要对信息进行非线性整合。每位参与者在每种条件下完成600次试验，每次试验后都会得到纠正反馈。结果表明，PD患者在线性条件下的所有试验中均未受损，而同样这些患者在非线性条件下受损，但仅在训练后期。作者进行了基于模型的分析，以识别采用信息整合方法的参与者，对这些个体的准确率进行比较进一步揭示了PD患者在信息整合类别学习方面存在特定缺陷。这些发现表明，当规则高度复杂时，纹状体可能特别参与信息整合类别学习。
