Amit Shah

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About

Amit Shah is a leading researcher in neurorehabilitation and motor learning, whose work focuses on developing innovative, technology-driven interventions for individuals with severe traumatic brain injury (TBI) and other neurological impairments. His key research areas include attention training, movement variability, and robotic-assisted therapy. Shah's major contributions include the development of "virtually minimal" visuo-haptic training protocols that address attention deficits in severe TBI patients—a population often overlooked in rehabilitation research. This foundational work, cited 58 times, demonstrated that even patients in early recovery stages can benefit from targeted attention training using interactive technology. Shah also pioneered the "limit-push" training technique, which uses enhanced visual feedback and robotic force fields to reshape movement distributions and alter movement variability. His studies on limit-push training (cited 7 and 5 times) have shown that artificially induced unstable environments can help both healthy individuals and neurologically impaired patients avoid high-cost movement patterns, offering a novel approach to motor learning and rehabilitation. Shah's work bridges the gap between basic motor control research and clinical applications, providing scalable, evidence-based tools for improving functional outcomes in neurorehabilitation.