Spinal Cord Injury-Induced Changes in Encoding and Decoding of Bipedal Walking by Motor Cortical Ensembles
Dingyin Hu1,2, Shirong Wang2, Bo Li1
1School of Mechatronical Engineering, Beijing Institute of Technology, Beijing 100081, China.
Brain Sciences
|September 28, 2021
Summary
Spinal cord injury recovery is task-specific. After injury, the brain spontaneously reorganizes, with the motor cortex improving control of bilateral limb movements for better motor function.
Area of Science:
- Neuroscience
- Motor Control
- Spinal Cord Injury Research
Background:
- Motor recovery after spinal cord injury (SCI) is task-specific.
- Previous research predominantly used quadrupedal locomotion models.
- Bipedal locomotion offers a more human-relevant paradigm for studying SCI recovery.
Purpose of the Study:
- To investigate spontaneous motor recovery after SCI using a bipedal walking task in non-human primates.
- To analyze neural activity in the primary motor cortex (M1) and its role in motor control post-SCI.
- To explore the potential of M1 in regaining bilateral coordination and enhancing brain-machine interfaces.
Main Methods:
- Two monkeys trained on a bipedal walking task before and after T8 spinal cord hemisection.
- Analysis of single-cell activity in the left primary motor cortex (M1) using information theory.
- Assessment of spontaneous neural and motor recovery without pharmacological intervention.
Main Results:
- Locomotor impairment was more severe on the ipsilateral side compared to the contralateral side.
- Neuronal populations in unilateral M1 increasingly encoded bilateral hindlimb muscle activity during bipedal walking post-SCI.
- Expanded neural information in M1 correlated with more accurate muscle activity control and improved motor recovery.
Conclusions:
- The unilateral primary motor cortex can spontaneously regain control of bilateral coordination after SCI.
- Enhanced neural information processing in M1 contributes to motor recovery and functional improvement.
- These findings suggest potential for improved brain-machine interfaces for SCI rehabilitation.
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