Timing functions of the cerebellum.

Timing functions of the cerebellum.
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DOI:
10.1162/jocn.1989.1.2.136
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发表时间:
1989-01-01
影响因子:
3.2
通讯作者:
Keele, S W
Keele, S W
中科院分区:
医学3区
文献类型:
--
作者:
Ivry, R B;Keele, S W

文献摘要

被引文献

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本研究探讨了不同类型的神经功能缺陷对定时功能的影响。帕金森、小脑、皮层和周围神经病变患者的表现与年龄匹配的对照组进行了两项单独的计时功能测量。第一个任务是制作时间间隔,受试者试图保持一个简单的节奏。第二项任务是测量受试者在两个时间间隔中辨别细微差别的感知能力。小脑在计时功能上的首要地位通过发现这些患者是唯一在计时任务的产生和感知上都表现出缺陷的患者来证明。研究发现,小脑组在进行有节奏的敲击时变异性增加,在对持续时间的微小差异进行感知辨别方面,他们比其他组更不准确。关键的是,这种感知缺陷似乎是特定于时间感知的,因为小脑患者在测量声音感知的控制任务中没有受到影响。有人认为,一个定时机构的操作可以概念化为电机控制系统的一个可隔离的组成部分。此外,研究结果表明,小脑计时过程的领域并不局限于运动系统,当需要进行时间预测计算时,其他感知和认知系统也会使用它。
This study investigated the effects of different types of neurological deficits on timing functions. The performance of Parkinson, cerebellar, cortical, and peripheral neuropathy patients was compared to age-matched control subjects on two separate measures of timing functions. The first task involved the production of timed intervals in which the subjects attempted to maintain a simple rhythm. The second task measured the subjects' perceptual ability to discriminate between small differences in the duration of two intervals. The primacy of the cerebellum in timing functions was demonstrated by the finding that these were the only patients who showed a deficit in both the production and perception of timing tasks. The cerebellar group was found to have increased variability in performing rhythmic tapping and they were less accurate than the other groups in making perceptual discriminations regarding small differences in duration. Critically, this perceptual deficit appears to be specific to the perception of time since the cerebellar patients were unaffected in a control task measuring the perception of loudness. It is argued that the operation of a timing mechanism can be conceptualized as an isolable component of the motor control system. Furthermore, the results suggest that the domain of the cerebellar timing process is not limited to the motor system, but is employed by other perceptual and cognitive systems when temporally predictive computations are needed.