A plethora of behavioral evidence indicates that the spinal cord, when isolated from brain inputs by a complete lesion, can still learn to adapt a motor behavior upon training. This project aimed to explore the extent to which the spinal cord can learn to adapt motor skills without involving the brain, and to understand the neuronal mechanisms involved.
Our initial objective was to demonstrate whether and how mice with spinal cord injuries can learn to perform repetitive motor tasks and find out the optimal conditions such learning. We did this by tracking their movements in detail using a motion capture system while they performed that tasks in with different set conditions.
In order to understand how neuronal circuits in the spinal cord allows mice to learn to perform motor tasks without the brain, we aimed to identify which specific types of neurons are involved in this motor learning, and what are their activity during learning, and during execution of the learned task. To do this, we used a combination of genetic techniques and virus-based methods to silence specific neurons and see their role. Finally, we analyzed the electrical activity of all the spinal neurons, and more specifically the ones that we identified as essential to perform the task. Through this approach, we aimed to understand through which mechanisms they contribute to learning.
Our findings reveal that the spinal cord has a remarkable ability to learn how to perform specific motor tasks without the brain, and this through the specific interaction of a newly identified circuit for learning and retention. Such discovery could eventually lead to new avenues of treatments for people with severe spinal cord injuries which according to the World Health Organization, impact between 250,000 and 500,000 people globally each year.