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帕金森病中的执行功能——随机数生成与反应抑制

Executive processes in Parkinson's disease--random number generation and response suppression.

作者信息

Brown R G, Soliveri P, Jahanshahi M

机构信息

Department of Clinical Neurology, Institute of Neurology, University College, London, UK.

出版信息

Neuropsychologia. 1998 Dec;36(12):1355-62. doi: 10.1016/s0028-3932(98)00015-3.

DOI:10.1016/s0028-3932(98)00015-3
PMID:9863689
Abstract

In producing random numbers, subjects typically deviate systematically from statistical randomness. It is considered that these biases reflect constraints imposed by underlying structures and processes, rather than a deficient concept of randomness. Random number generation (RNG) places considerable demands on executive processes, and provides a possibly useful tool for their investigation. A group of patients with Parkinson's disease (PD) and a group of controls were tested on a RNG task, both alone and with a concurrent attention-demanding task (manual tracking). Both groups showed the biases in RNG described previously, including a strong counting tendency and repetition avoidance. Overall RNG performance did not differ between the groups, although differences were found in the counting biases in the patient and control groups, with the controls showing a bias towards counting in twos, and the patients a bias towards counting in ones. The secondary task reversed the bias shown by controls and exacerbated the bias in the patients. A network modulation model may help explain many of the features of RNG. We suggest that naturally biased output from an associative network must be actively suppressed by an attention-demanding, limited-capacity process. This suppression may be disrupted by the pathophysiology of PD and by concurrent tasks. Convergent evidence from various sources is discussed which supports a role of the dorsolateral prefrontal cortex (DLPFC) in this process.

摘要

在生成随机数时,受试者通常会系统性地偏离统计随机性。人们认为这些偏差反映的是潜在结构和过程所施加的限制,而非随机概念的不足。随机数生成(RNG)对执行过程提出了相当高的要求,并为研究这些过程提供了一个可能有用的工具。一组帕金森病(PD)患者和一组对照组在RNG任务上接受测试,测试分为单独进行和同时进行一项需要注意力的任务(手动跟踪)两种情况。两组都表现出了之前描述过的RNG偏差,包括强烈的计数倾向和避免重复。两组在总体RNG表现上没有差异,尽管在患者组和对照组的计数偏差中发现了差异,对照组表现出以二计数的偏差,而患者表现出以一计数的偏差。第二项任务扭转了对照组表现出的偏差,并加剧了患者的偏差。一种网络调制模型可能有助于解释RNG的许多特征。我们认为,联想网络自然产生的有偏差输出必须通过一个需要注意力、容量有限的过程来积极抑制。这种抑制可能会因PD的病理生理学和同时进行的任务而受到干扰。文中讨论了来自各种来源的趋同证据,这些证据支持背外侧前额叶皮层(DLPFC)在此过程中的作用。

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