Developmental timecourse of aptitude for motor skill learning in mouse

Abstract

Learning motor skills requires plasticity in the primary motor cortex (M1). But the capacity for cortical circuit plasticity varies over developmental age in sensory cortex. This study assesses the normal developmental trajectory of motor learning to assess how aptitude might vary with age. We trained mice of both sexes to run on a custom accelerating rotarod at ages from postnatal day (P) 20 to P120, tracking paw position and quantifying time to fall and changes in gait pattern. While animals of all ages were able to perform better after five training sessions, performance improved most rapidly on the first training day for mice between ages P30-60, suggesting an age with heightened plasticity. Learning this task required M1, because pharmacological inactivation of M1 prevented improvement in task performance. Paw position and gait patterns changed with learning, though differently between age groups. Successful mice learned to shift their gait from hopping to walking. Notably, this shift in gait happened earlier in the trial for forelimbs in comparison to hindlimbs. Thus, motor plasticity might more readily occur in forelimbs. Changes in gait and other kinematic parameters are an additional learning metric beyond time to fall, offering insight into how mice improve performance. Overall, these results suggest mouse motor learning has a developmental trajectory. SignificancePlasticity in sensory cortex is restricted to a limited developmental window. Learning motor skills requires motor cortex plasticity, but it is unknown whether learning aptitude changes over development. Here, we define the developmental trajectory of motor learning aptitude for the accelerating rotarod task in mice, demonstrating a sensitive period for motor learning. Learning peaks at P30-P60, with mice learning to shift from hopping to walking gait to stay on the rotarod longer. Learning this task depends on M1. Further, the gait shift in forelimbs precedes hindlimbs. Knowing the peak in motor plasticity identifies the time window at which we should seek to understand the circuit basis of motor learning plasticity in cortex.