A contribution of cognitive decision models to clinical assessment: Decomposing performance on the bechara gambling task

被引:353
作者
Busemeyer, JR [1 ]
Stout, JC [1 ]
机构
[1] Indiana Univ, Dept Psychol, Bloomington, IN 47405 USA
关键词
D O I
10.1037//1040-3590.14.3.253
中图分类号
B849 [应用心理学];
学科分类号
040203 ;
摘要
The Bechara simulated gambling task is a popular method of examining decision-making deficits exhibited by people with brain damage, psychopathology, antisocial personality, or drug abuse problems. However, performance on this task is confounded by complex interdependencies between cognitive, motivational, and response processes, making it difficult to sort out and identify the specific processes responsible for the observed behavioral deficits. The authors compare 3 competing cognitive decision models of the Bechara task in terms of their ability to explain the performance deficits observed in Huntington's disease patients as compared with healthy populations and people with Parkinson's disease. The parameters of the best fitting model are used to decompose the observed performance deficit of the Huntington patients into cognitive, motivational, and response sources.
引用
收藏
页码:253 / 262
页数:10
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