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肌肉调谐功能个体差异的神经解剖学基础:肌肉调谐的神经关联

Neuroanatomical Basis of Individuality in Muscle Tuning Function: Neural Correlates of Muscle Tuning.

作者信息

Kita Kahori, Osu Rieko, Hosoda Chihiro, Honda Manabu, Hanakawa Takashi, Izawa Jun

机构信息

Center for Frontier Medical Engineering, Chiba University, Chiba, Japan.

Integrative Brain Imaging Center, National Center of Neurology and Psychiatry, Tokyo, Japan.

出版信息

Front Behav Neurosci. 2019 Mar 6;13:28. doi: 10.3389/fnbeh.2019.00028. eCollection 2019.

Abstract

In a conventional view of motor control, the human brain might employ an optimization principle that leads a stereotypical motor behavior which we observe as an averaged behavioral data over subjects. In this scenario, the inter-individual motor variability is considered as an observation noise. Here, we challenged this view. We considered a motor control task where the human participants manipulated arm force by coordinating shoulder and elbow torques and investigated the muscle-tuning function that represents how the brain distributed the ideal joint torques to multiple muscles. In the experimental data, we observed large inter-individual variability in the profile of a muscle-tuning function. This contradicts with a well-established optimization theory that is based on minimization of muscle energy consumption and minimization of motor variability. We then hypothesized the inter-subject differences in the structure of the motor cortical areas might be the source of the across-subjects variability of the motor behavior. This was supported by a voxel-based morphometry analysis of magnetic resonance imaging; The inter-individual variability of the muscle tuning profile was correlated with that of the gray matter volume in the premotor cortex which is ipsilateral to the used arm (i.e., right hemisphere for the right arm). This study suggests that motor individuality may originate from inter-individual variation in the cortical structure.

摘要

在传统的运动控制观点中,人类大脑可能采用一种优化原则,这种原则会导致一种刻板的运动行为,我们将其视为受试者的平均行为数据。在这种情况下,个体间的运动变异性被视为观测噪声。在此,我们对这一观点提出了挑战。我们考虑了一项运动控制任务,即人类参与者通过协调肩部和肘部扭矩来操纵手臂力量,并研究了肌肉调谐功能,该功能表示大脑如何将理想的关节扭矩分配给多块肌肉。在实验数据中,我们观察到肌肉调谐功能曲线存在较大的个体间变异性。这与基于肌肉能量消耗最小化和运动变异性最小化的成熟优化理论相矛盾。然后,我们假设运动皮层区域结构的个体间差异可能是运动行为个体间变异性的来源。磁共振成像的基于体素的形态计量学分析支持了这一点;肌肉调谐曲线的个体间变异性与使用手臂同侧(即右臂对应右半球)的运动前皮层灰质体积的个体间变异性相关。这项研究表明,运动个体性可能源于皮层结构的个体间差异。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f901/6421991/89f43a72918d/fnbeh-13-00028-g0001.jpg

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