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Refinement of learned skilled movement representation in motor cortex deep output layer
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Refinement of learned skilled movement representation in motor cortex deep output layer
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Refinement of learned skilled movement representation in motor cortex deep output layer
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Journal Article
Refinement of learned skilled movement representation in motor cortex deep output layer
2017
Overview
The mechanisms underlying the emergence of learned motor skill representation in primary motor cortex (M1) are not well understood. Specifically, how motor representation in the deep output layer 5b (L5b) is shaped by motor learning remains virtually unknown. In rats undergoing motor skill training, we detect a subpopulation of task-recruited L5b neurons that not only become more movement-encoding, but their activities are also more structured and temporally aligned to motor execution with a timescale of refinement in tens-of-milliseconds. Field potentials evoked at L5b
in vivo
exhibit persistent long-term potentiation (LTP) that parallels motor performance. Intracortical dopamine denervation impairs motor learning, and disrupts the LTP profile as well as the emergent neurodynamical properties of task-recruited L5b neurons. Thus, dopamine-dependent recruitment of L5b neuronal ensembles via synaptic reorganization may allow the motor cortex to generate more temporally structured, movement-encoding output signal from M1 to downstream circuitry that drives increased uniformity and precision of movement during motor learning.
Motor learning induces structural and functional reorganization in upper layers of motor cortex. Here the authors show that neuronal ensembles in the output layer 5b exhibit temporal dynamics during skilled learning that progressively becomes well-aligned to movement in a dopamine dependent manner.
