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MEAM Seminar: “Robot-assisted Imaging of Neuromuscular Function: New Insights on the Neural Substrates of Motor Control”

February 17, 2022 at 10:00 AM - 11:30 AM
Details
Date: February 17, 2022
Time: 10:00 AM - 11:30 AM
Event Category: Seminar
  • Event Tags:, , ,
  • Organizer
    Mechanical Engineering and Applied Mechanics
    Phone: 215-746-1818
    Venue
    Glandt Forum, Singh Center for Nanotechnology 3205 Walnut Street
    Philadelphia
    PA 19104
    Google Map

    Can we use robots to help humans learn a new motor skill, or to improve performance of a motor task? What are the neural substrates that support motor learning under physical interaction with external agents such as robots? How does repeated exposure to motor training induce plasticity in brain networks? These are fundamental neuroscience questions which have special relevance in multiple domains, such as neuromodulation, surgical training, and motor recovery after stroke, spinal cord injury, or traumatic brain injury. In this talk, I present methods that address these questions, combining MRI-compatible robotics with functional neuroimaging and advanced biosignal processing. I demonstrate two applications of these methods to understand the function of multiple brain areas associated with motor control and motor learning.

    Over the past few years, my lab has developed a family of MRI-compatible robots for use with functional Magnetic Resonance Imaging to study the neural control of movements. In this talk, I present two systems, the MR-SoftWrist, a wrist exoskeleton capable of force feedback designed to study neural substrates involved in the control of wrist movements during externally imposed forces, and the MR-StretchWrist, a wrist robot designed to elicit stretch reflexes and study their neural correlates using fMRI. These MRI-compatible robots quantify function in the cortico-thalamic-cerebellar pathway involved in learning new motor tasks and quantify function in secondary motor pathways such as the reticulospinal tract involved in fast feedback responses. I detail how MRI-compatible robots and fMRI were combined to measure neural function associated with long-latency responses and to map the somatotopic organization of these responses of flexor and extensor muscles in the brainstem. Together, these tools demonstrate how robotics, functional imaging and neuroscience can be joined across disciplines to understand and perhaps eventually guide both normal function and the nervous system’s response to injury, disease, devices and rehabilitation.