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Versatile robotic interface to evaluate, enable and train locomotion and balance after neuromotor disorders

Central nervous system (CNS) disorders distinctly impair locomotor pattern
generation and balance, but technical limitations prevent independent assessment
and rehabilitation of these subfunctions. Here we introduce a versatile robotic
interface to evaluate, enable and train pattern generation and balance
independently during natural walking behaviors in rats. In evaluation mode, the
robotic interface affords detailed assessments of pattern generation and dynamic
equilibrium after spinal cord injury (SCI) and stroke. In enabling mode,the robot
acts as a propulsive or postural neuroprosthesis that instantly promotes
unexpected locomotor capacities including overground walking after complete SCI,
stair climbing following partial SCI and precise paw placement shortly after
stroke. In training mode, robot-enabled rehabilitation, epidural electrical
stimulation and monoamine agonists reestablish weight-supported locomotion,
coordinated steering and balance in rats with a paralyzing SCI. This new robotic
technology and associated concepts have broad implications for both assessing and
restoring motor functions after CNS disorders, both in animals and in humans.

Langue : ANGLAIS

Tiré à part : OUI

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