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网络动力学参与健康受试者运动行为的调节。

Network dynamics engaged in the modulation of motor behavior in healthy subjects.

机构信息

Neuromodulation & Neurorehabilitation, Max Planck Institute for Neurological Research, 50931 Cologne, Germany.

出版信息

Neuroimage. 2013 Nov 15;82:68-76. doi: 10.1016/j.neuroimage.2013.05.123. Epub 2013 Jun 6.

DOI:10.1016/j.neuroimage.2013.05.123
PMID:23747288
Abstract

Motor skills are mediated by a dynamic and finely regulated interplay of the primary motor cortex (M1) with various cortical and subcortical regions engaged in movement preparation and execution. To date, data elucidating the dynamics in the motor network that enable movements at different levels of behavioral performance remain scarce. We here used functional magnetic resonance imaging (fMRI) and dynamic causal modeling (DCM) to investigate effective connectivity of key motor areas at different movement frequencies performed by right-handed subjects (n=36) with the left or right hand. The network of interest consisted of motor regions in both hemispheres including M1, supplementary motor area (SMA), ventral premotor cortex (PMv), motor putamen, and motor cerebellum. The connectivity analysis showed that performing hand movements at higher frequencies was associated with a linear increase in neural coupling strength from premotor areas (SMA, PMv) contralateral to the moving hand and ipsilateral cerebellum towards contralateral, active M1. In addition, we found hemispheric differences in the amount by which the coupling of premotor areas and M1 was modulated, depending on which hand was moved. Other connections were not modulated by changes in motor performance. The results suggest that a stronger coupling, especially between contralateral premotor areas and M1, enables increased motor performance of simple unilateral hand movements.

摘要

运动技能是由初级运动皮层(M1)与参与运动准备和执行的各种皮层和皮层下区域之间的动态和精细调节相互作用介导的。迄今为止,阐明使不同行为表现水平的运动得以实现的运动网络中的动态的数据仍然很少。我们在这里使用功能磁共振成像(fMRI)和动态因果建模(DCM)来研究由右利手受试者(n=36)用左手或右手执行的不同运动频率下关键运动区域的有效连接。感兴趣的网络包括双侧半球中的运动区域,包括 M1、辅助运动区(SMA)、腹侧前运动皮层(PMv)、运动纹状体和运动小脑。连接分析表明,以更高的频率进行手部运动与从与运动手相对侧和同侧小脑向对侧、活跃的 M1 的运动前区域(SMA、PMv)的神经耦合强度呈线性增加有关。此外,我们发现,取决于移动的手,运动前区域和 M1 的耦合被调制的程度存在半球差异。其他连接不受运动表现变化的调节。结果表明,更强的耦合,特别是对侧运动前区域和 M1 之间的耦合,能够增强简单单侧手部运动的运动表现。

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Network dynamics engaged in the modulation of motor behavior in healthy subjects.网络动力学参与健康受试者运动行为的调节。
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