Reconfiguring Motor Circuits for a Joint Manual and BCI Task

Area of Science:

• Neuroscience
• Biomedical Engineering
• Rehabilitation Technology

Background:

• Brain-computer interfaces (BCIs) are crucial for restoring motor function after neurological injury.
• Effective BCI use requires understanding neural activity during simultaneous BCI and natural motor control.
• Dissociating neural activity for BCI control from natural limb control is essential for BCI application.

Purpose of the Study:

• Investigate how the primary motor cortex manages simultaneous BCI and motor control.
• Examine neural activity changes during a dual-control task requiring both BCI and motor output from the same brain region.

Main Methods:

• Recorded single-unit activity from intracortical multi-electrode arrays in a non-human primate.
• Utilized a dual-control task explicitly requiring simultaneous BCI and motor control.
• Analyzed neural tuning to wrist torque and effective connectivity between units.

Main Results:

• Both BCI control units and non-control units significantly altered their tuning to wrist torque compared to natural motor control.
• Control units demonstrated decreased effective connectivity.
• Intrinsic variability in control units significantly impacted task proficiency.

Conclusions:

• Motor cortical activity is adaptable, enabling novel BCI tasks that require decoupling natural motor associations.
• Neural activity in the primary motor cortex can be flexibly re-purposed for dual-control BCI applications.
• Understanding neural flexibility is key to designing effective BCIs for motor function restoration.