Duration-modulated neural population dynamics in humans during BMI controls.

Area of Science:

• Neuroscience
• Motor Control
• Brain-Computer Interfaces

Background:

• The motor cortex (MC) is traditionally viewed as an autonomous dynamical system for movement.
• Flexible movement generation in such systems relies on reconfiguring initial conditions.
• It remains unclear if these autonomous dynamics apply to MC activity during brain-machine interface (BMI) control.

Purpose of the Study:

• To investigate the dynamics of motor cortex activity during brain-machine interface (BMI) cursor movements.
• To determine if MC activity during BMI control adheres to autonomous dynamical system principles.
• To explore how movement duration affects MC population dynamics.

Main Methods:

• Analysis of motor cortex (MC) activity during brain-machine interface (BMI) cursor movements.
• Examination of movements with varying durations, from milliseconds to seconds.
• Comparison of MC initial conditions and population dynamics across different movement durations.

Main Results:

• Motor cortex (MC) activity during brain-machine interface (BMI) control does not strictly follow autonomous dynamics.
• Long-duration movements exhibit sustained MC activity in a low-velocity steady state.
• Differences in MC population dynamics across movement durations may result from external inputs.

Conclusions:

• The motor cortex (MC) may not be a purely autonomous system during brain-machine interface (BMI) control.
• Sustained external inputs play a significant role in shaping MC activity, particularly for longer movements.
• Understanding these inputs is crucial for advancing BMI control strategies.