Distinct dynamics of neuronal activity during concurrent motor planning and execution

Area of Science:

• Neuroscience
• Motor Control
• Computational Neuroscience

Background:

• Smooth movement necessitates concurrent motor planning and execution.
• Understanding how motor plans adapt during ongoing movements without disruption is challenging.
• Prior research often separated planning and execution temporally using sensory cues.

Purpose of the Study:

• To investigate the neural dynamics of motor planning and execution in continuous, self-paced movements.
• To develop a method for statistically separating concurrent motor planning and execution processes.
• To elucidate how movement plans are modified without interfering with ongoing motor activity.

Main Methods:

• Statistically separating continuous self-paced motor planning from motor execution by minimizing movement repetitiveness.
• Analyzing neuronal activity in the rat sensorimotor cortex.
• Employing high-pass filtering to capture distinct neural dynamics.
• Validating findings using optogenetic stimulations.

Main Results:

• Neuronal motor planning processes in the rat sensorimotor cortex exhibit slower dynamics compared to movement-related responses.
• Fast-evolving neuronal activity preceding skilled forelimb movements is nested within slower dynamic processes.
• High-pass filtering effectively captured these distinct temporal dynamics.

Conclusions:

• Concurrent motor planning and execution can be separated using statistical methods that account for differing neural dynamics.
• Adaptation-based high-pass filtering offers a principle for distinguishing simultaneous planning and execution.
• This approach provides insights into the neural mechanisms underlying flexible motor control.