Increasing muscle co-contraction speeds up internal model acquisition during dynamic motor learning.
Increasing muscle co-contraction speeds up internal model acquisition during dynamic motor learning.
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DOI：
10.1038/s41598-018-34737-5
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发表时间：
2018-11-05
影响因子：
4.6
通讯作者：
Wolpert DM
中科院分区：
文献类型：
--
作者：
Heald JB;Franklin DW;Wolpert DM
在新动力学存在的情况下，在达到运动期间，参与者最初共同收缩他们的肌肉，以减少运动学误差并提高任务性能。随着学习的进行，肌肉共同收缩随着精确的内部模型的发展而减少。最初的共同收缩可以通过几种方式影响内部模型的学习。通过确保肢体保持接近目标状态，共同收缩可以加速学习。相反，通过减少运动学错误（一个关键的训练信号），它可以减缓学习。或者，考虑到肌肉共同收缩对运动学误差的影响是可预测的，并且在评估内部模型误差时可以打折，因此它可能对学习没有影响。使用一系列力脉冲，我们预先训练了两组在动态扰动存在下共同收缩（僵硬组）或放松（放松组）手臂肌肉。第三组（对照组）没有预先训练。所有组进行达到运动中的速度依赖的旋度字段。我们测量适应使用通道试验，并发现更大的适应僵硬组在早期学习。我们还发现了肌肉共同收缩，表面肌电图测量，适应之间的正相关性。这些结果表明，肌肉共同收缩加速了动态运动学习的速度。
During reaching movements in the presence of novel dynamics, participants initially co-contract their muscles to reduce kinematic errors and improve task performance. As learning proceeds, muscle co-contraction decreases as an accurate internal model develops. The initial co-contraction could affect the learning of the internal model in several ways. By ensuring the limb remains close to the target state, co-contraction could speed up learning. Conversely, by reducing kinematic errors, a key training signal, it could slow down learning. Alternatively, given that the effects of muscle co-contraction on kinematic errors are predictable and could be discounted when assessing the internal model error, it could have no effect on learning. Using a sequence of force pulses, we pretrained two groups to either co-contract (stiff group) or relax (relaxed group) their arm muscles in the presence of dynamic perturbations. A third group (control group) was not pretrained. All groups performed reaching movements in a velocity-dependent curl field. We measured adaptation using channel trials and found greater adaptation in the stiff group during early learning. We also found a positive correlation between muscle co-contraction, as measured by surface electromyography, and adaptation. These results show that muscle co-contraction accelerates the rate of dynamic motor learning.
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