Sequential learning models for the Wisconsin card sort task: Assessing processes in substance dependent individuals
Sequential learning models for the Wisconsin card sort task: Assessing processes in substance dependent individuals
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DOI：
10.1016/j.jmp.2008.10.002
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发表时间：
2010-02-01
影响因子：
1.8
通讯作者：
Busemeyer, Jerome R.
中科院分区：
文献类型：
--
作者：
Bishara, Anthony J.;Kruschke, John K.;Busemeyer, Jerome R.
威斯康星卡片分类任务（WCST）是一种常用的执行或额叶功能的神经心理学测试。传统的行为测量（例如，持续性错误）将健康对照者与临床人群区分开来，但这种测量方法很难解释。为了补充传统的测量方法，我们开发并测试了一系列顺序学习模型，这些模型允许在WCST中对单个主题级别的过程进行估计。通过对物质依赖个体和健康对照组的测试，模型参数显著地预测了群体成员，即使在控制任务的传统行为测量时也是如此。物质依赖与(a)惩罚试验后注意力转移较慢和(b)决策一致性降低有关。结果表明，模型参数可能同时提供增量内容效度和增量预测效度。(C) 2008爱思唯尔公司版权所有。
The Wisconsin card sort task (WCST) is a commonly used neuropsychological test of executive or frontal lobe functioning. Traditional behavioral measures from the task (e.g., perseverative errors) distinguish healthy controls from clinical populations, but such measures can be difficult to interpret. In an attempt to supplement traditional measures, we developed and tested a family of sequential learning models that allowed for estimation of processes at the individual subject level in the WCST. Testing the model with substance dependent individuals and healthy controls, the model parameters significantly predicted group membership, even when controlling for traditional behavioral measures from the task. Substance dependence was associated with (a) slower attention shifting following punished trials and (b) reduced decision consistency. Results suggest that model parameters may offer both incremental content validity and incremental predictive validity. (C) 2008 Elsevier Inc. All rights reserved.