基底神经节:运动控制中预备活动的放大器。

IF 1.6 4区 工程技术 Q3 COMPUTER SCIENCE, CYBERNETICS
Serhat Çağdaş, Neslihan Serap Şengör
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引用次数: 0

摘要

基底神经节通过参与下行运动通路,对运动行为的产生有重要贡献。深入了解运动皮层如何产生运动模式也是理解基底神经节功能的关键。群体动力学方法便于重新评估运动皮层的行为以及运动系统中其他成分的作用。本研究提出,基底节区通过多巴胺阶段性释放的调节作用,增强了运动皮层的预备活动。用计算模型测试了基底神经节对中心外伸任务的影响。结果表明,基底神经节促进了运动的启动,增加了行为的稳健性。这些结果,基于种群动力学的观点,可能会提高我们对基底神经节在运动控制中的作用以及运动控制神经退行性疾病中多巴胺相关疾病症状的理解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Basal ganglia: an amplifier for preparatory activity in motor control.

The basal ganglia make a significant contribution to the generation of motor behavior through their involvement in the descending motor pathways. Gaining insight into how the motor cortex produces motor patterns is also a key to understanding the function of the basal ganglia. The population dynamics approach is convenient for the reevaluation of the behavior of the motor cortex and also the roles of other components in the motor system. Here, it is proposed that the basal ganglia amplify preparatory activity in the motor cortex with the modulatory effect of phasic dopamine release. The influence of the basal ganglia is tested with a computational model on a center-out-reaching task. The results show that the basal ganglia facilitate movement initiation and increase the robustness of the behavior. These results, based on the perspective of population dynamics, may improve our understanding of the role of the basal ganglia in motor control and the symptoms of dopamine-related conditions in neurodegenerative diseases of motor control.

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来源期刊
Biological Cybernetics
Biological Cybernetics 工程技术-计算机:控制论
CiteScore
3.50
自引率
5.30%
发文量
38
审稿时长
6-12 weeks
期刊介绍: Biological Cybernetics is an interdisciplinary medium for theoretical and application-oriented aspects of information processing in organisms, including sensory, motor, cognitive, and ecological phenomena. Topics covered include: mathematical modeling of biological systems; computational, theoretical or engineering studies with relevance for understanding biological information processing; and artificial implementation of biological information processing and self-organizing principles. Under the main aspects of performance and function of systems, emphasis is laid on communication between life sciences and technical/theoretical disciplines.
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