Neuroscience Graduate Program, University of California San Francisco, San Francisco, CA, USA.
Department of Neurology, University of California San Francisco, San Francisco, CA, USA.
Nat Neurosci. 2019 Jul;22(7):1122-1131. doi: 10.1038/s41593-019-0407-2. Epub 2019 May 27.
A remarkable feature of motor control is the ability to coordinate movements across distinct body parts into a consistent, skilled action. To reach and grasp an object, 'gross' arm and 'fine' dexterous movements must be coordinated as a single action. How the nervous system achieves this coordination is currently unknown. One possibility is that, with training, gross and fine movements are co-optimized to produce a coordinated action; alternatively, gross and fine movements may be modularly refined to function together. To address this question, we recorded neural activity in the primary motor cortex and dorsolateral striatum during reach-to-grasp skill learning in rats. During learning, the refinement of fine and gross movements was behaviorally and neurally dissociable. Furthermore, inactivation of the primary motor cortex and dorsolateral striatum had distinct effects on skilled fine and gross movements. Our results indicate that skilled movement coordination is achieved through emergent modular neural control.
运动控制的一个显著特征是能够将不同身体部位的运动协调成一致的、熟练的动作。为了够到并抓住一个物体,“粗”臂和“细”灵巧的动作必须协调成一个单一的动作。神经系统如何实现这种协调目前尚不清楚。一种可能性是,经过训练,粗动作和细动作会被共同优化以产生协调的动作;或者,粗动作和细动作可能是模块化细化的,以共同发挥作用。为了解决这个问题,我们在大鼠进行抓握技能学习的过程中记录了初级运动皮层和背外侧纹状体的神经活动。在学习过程中,精细运动和粗运动的细化在行为和神经上是可分离的。此外,初级运动皮层和背外侧纹状体的失活对熟练的精细运动和粗运动有明显的影响。我们的结果表明,熟练的运动协调是通过新兴的模块化神经控制实现的。