Neuroscience Graduate Program, University of Michigan, Ann Arbor, MI 48109.
Department of Neurology, University of Michigan, Ann Arbor, MI 48109.
eNeuro. 2021 Oct 27;8(5). doi: 10.1523/ENEURO.0153-21.2021. Print 2021 Sep-Oct.
The ability to learn dexterous motor skills is a fundamental aspect of human behavior. However, the underlying neural circuit mechanisms for dexterous skill learning are unclear. Advancing our understanding of motor skill learning requires the integration of modern neuroscientific techniques with a rigorously characterized dexterous task. The development of automated rodent skilled reaching with paw tracking allows detailed analysis of how reach-to-grasp kinematics evolve during learning. We assessed how both "gross" forelimb and "fine" digit kinematics changed as rats learned skilled reaching. Rats whose success rates increased (learners) consistently reduced the variability in their reach trajectories. Refinement of fine digit control generally continued after consistency in gross hand transport to the pellet plateaued. Interestingly, most rats whose success rates did not increase (non-learners) also converged on consistent reach kinematics. Some non-learners, however, maintained substantial variability in hand and digit trajectories throughout training. These results suggest that gross and fine motor components of dexterous skill are, on average, learned over different timescales. Nonetheless, there is significant intersubject variability in learning rates as assessed by both reaching success and consistency of reach kinematics.
学习灵巧运动技能的能力是人类行为的一个基本方面。然而,灵巧技能学习的潜在神经回路机制尚不清楚。要深入了解运动技能学习,就需要将现代神经科学技术与经过严格特征描述的灵巧任务相结合。自动化啮齿动物熟练抓握的爪子追踪技术的发展,允许对抓握运动学在学习过程中的演变进行详细分析。我们评估了大鼠在学习熟练抓握时,“粗”前肢和“细”指运动学是如何变化的。成功率增加的大鼠(学习者)持续降低其抓握轨迹的可变性。在粗手向颗粒平板的输送达到稳定后,精细手指控制的细化通常会继续。有趣的是,大多数成功率没有增加的大鼠(非学习者)也收敛到一致的抓握运动学。然而,一些非学习者在整个训练过程中仍然保持着手和手指轨迹的大量可变性。这些结果表明,灵巧技能的粗运动和细运动组件通常是在不同的时间尺度上学习的。尽管如此,在抓握成功率和抓握运动学的一致性方面,学习速度仍存在显著的个体间变异性。