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Simultaneous Scalp Electroencephalography (EEG), Electromyography (EMG), and Whole-body Segmental Inertial Recording for Multi-modal Neural Decoding

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Decoding hindlimb movement for a brain machine interface after a complete spinal transection.

Anitha Manohar¹, Robert D Flint, Eric Knudsen

¹School of Biomedical Engineering Science and Health Systems, Drexel University, Philadelphia, PA, USA.

|January 10, 2013

Summary

This summary is machine-generated.

Brain-machine interfaces (BMIs) enable rats to regain conscious control of hindlimb movement after spinal cord injury. Neural control, a motor cortex feature, can be relearned even with reduced neuronal activity post-injury.

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Area of Science:

Neuroscience
Motor Control
Spinal Cord Injury Research

Background:

Stereotypical movements occur post-spinal transection, but functional gait needs brain modulation.
Restoring independent limb control is crucial for functional recovery.

Purpose of the Study:

To investigate if brain-machine interfaces (BMIs) can restore conscious hindlimb control after spinal injury.
To assess the encoding of hindlimb movement by sensorimotor cortex neurons.

Main Methods:

Rats were trained to use a BMI to control hindlimb movement for reward.
Neural population activity from the hindlimb sensorimotor cortex was decoded in real-time.
Decoding performance was evaluated before and after spinal transection.

Main Results:

Animals learned a novel motor program using neural control for reward.
Spinal transection reduced neuronal information transfer by over 40%.
Despite reduced firing rates, the BMI representation was relearned post-transection.

Conclusions:

Neural control is a general motor cortex function applicable to hindlimb movements.
Conscious control over hindlimb movement can be regained after spinal injury using BMIs.
BMIs offer a potential therapeutic strategy for motor function recovery post-spinal cord injury.