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Proprioceptive loss and the perception, control and learning of arm movements in humans: evidence from sensory neuronopathy

机译:人类手臂运动的丧失和感知,控制和学习:来自感官神经病的证据

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It is uncertain how vision and proprioception contribute to adaptation of voluntary arm movements. In normal participants, adaptation to imposed forces is possible with or without vision, suggesting that proprioception is sufficient; in participants with proprioceptive loss (PL), adaptation is possible with visual feedback, suggesting that proprioception is unnecessary. In experiment 1 adaptation to, and retention of, perturbing forces were evaluated in three chronically deafferented participants. They made rapid reaching movements to move a cursor toward a visual target, and a planar robot arm applied orthogonal velocity-dependent forces. Trial-by-trial error correction was observed in all participants. Such adaptation has been characterized with a dual-rate model: a fast process that learns quickly, but retains poorly and a slow process that learns slowly and retains well. Experiment 2 showed that the PL participants had large individual differences in learning and retention rates compared to normal controls. Experiment 3 tested participants' perception of applied forces. With visual feedback, the PL participants could report the perturbation's direction as well as controls; without visual feedback, thresholds were elevated. Experiment 4 showed, in healthy participants, that force direction could be estimated from head motion, at levels close to the no-vision threshold for the PL participants. Our results show that proprioceptive loss influences perception, motor control and adaptation but that proprioception from the moving limb is not essential for adaptation to, or detection of, force fields. The differences in learning and retention seen between the three deafferented participants suggest that they achieve these tasks in idiosyncratic ways after proprioceptive loss, possibly integrating visual and vestibular information with individual cognitive strategies.
机译:尚不确定视觉和预言人如何为自愿手臂运动的改编有助于改编。在正常的参与者中,可以在或没有视觉的情况下适应施加力,表明预防型是足够的;在具有Benrioctionive损失(PL)的参与者中,可以通过视觉反馈进行适应,表明预先应用是不必要的。在实验1中,在三个慢性脱缔·的参与者中评估对扰动力的适应性和保留力。它们使得快速达到移动光标向视觉目标移动,并且平面机器人臂施加正交速度依赖力。在所有参与者中都观察到逐次试验错误校正。这种适应性的特点是双重速率模型:快速学习的快速过程,但保留了较差和缓慢的过程,慢慢学习并保持良好。实验2表明,与正常对照相比,PL参与者的学习和保留率大大差异。实验3测试了参与者对应用力的看法。通过视觉反馈,PL参与者可以报告扰动的方向以及控制;没有视觉反馈,阈值升高。实验4显示在健康的参与者中,可以从头部运动估计力方向,在PL参与者接近无视觉阈值的水平下。我们的研究结果表明,损失影响感知,电动机控制和适应,但是来自移动肢体的原件是对适应或检测力场的适应性的必不可少的。三个脱缔约党参与者之间的学习和保留的差异表明,他们以书籍丧失损失后的特殊方式实现了这些任务,可能与个人认知策略集成了视觉和前庭信息。

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