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A new technological framework for uncovering the neural systems important for recovery after spinal cord injury.

victoria

Abstract: Interventions that increase plasticity and regeneration after spinal cord injury (SCI) are improving, but little is known about the neural systems that would be most effective to target such interventions. Our work both identifies the neural cell types and synaptic mechanisms that would be most effective to target such interventions and establishes an artificial intelligence (AI)-based platform for fast, reliable and unbiased quantification of motor recovery. Our experimental scrutiny at both the neural and behavioral levels establishes a critical foundation for developing a prominent research program studying the spinal cord circuits important for sensorimotor function and recovery following SCI.

 

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