Impaired Incentive Learning in Treated Parkinson’s Disease

Author:

Charbonneau D.,Riopelle R.J.,Beninger R.J.

Abstract

AbstractObjective: To quantify the performance of patients with Parkinson’s disease (PD) in incentive learning, or learning to respond to stimuli that signal the imminent presentation of a reinforcer, and in paired-associate learning, or learning of word associations. Methods: The performance of 32 patients with idiopathic PD was compared to that of 25 healthy control subjects, and 32 subjects suffering from arthritis, matched for age and education. The PD and arthritic groups were comparable on a self-report measure of physical disability. All subjects were physically capable of satisfying the contingencies of the incentive learning task. The avoidance task that quantified incentive learning used money loss as an aversive stimulus. The word paired-associate learning task was presented on a computer and feedback was not given on performance. Results: The normal and arthritic groups performed equally well on the avoidance task, whereas the PD group was impaired despite dopaminergic replacement therapy. The groups did not differ significantly in paired-associate learning. Conclusions: These findings are among the first to suggest that the nigrostriatal dopamine dysfunction associated with PD may play a role in incentive learning but not in paired-associate learning and are consistent with a role for dopamine in certain forms of learning and memory. The findings may highlight differences between tonic and modulated function in the nigrostriatal system.

Publisher

Cambridge University Press (CUP)

Subject

Neurology (clinical),Neurology,General Medicine

Reference43 articles.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3