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About

Marialuisa Gandolfi is a prominent neurorehabilitation researcher whose work sits at the intersection of robotic therapy, neurophysiology, and clinical practice. Her research focuses primarily on robot-assisted rehabilitation for neurological conditions including stroke, multiple sclerosis, and Parkinson's disease, with a particular emphasis on upper limb recovery and gait training. Gandolfi has made significant contributions to understanding how the brain adapts during robotic interventions, employing EEG and event-related desynchronization analyses to illuminate the neural correlates of motor recovery — work that has garnered over 120 citations. Her randomized controlled trials have rigorously compared robotic approaches against conventional therapies, offering clinicians evidence-based guidance on when and how to deploy these technologies. Notably, she has investigated innovative combinations of robot-assisted gait training with virtual reality to simultaneously target motor and cognitive deficits in multiple sclerosis patients. Her systematic reviews and scoping reviews — collectively cited nearly 200 times — have shaped outcome measurement standards and clinical guidelines for robotic rehabilitation. Gandolfi's broader body of work has profoundly influenced how robotic devices are integrated into neurorehabilitation practice worldwide, bridging the gap between emerging technology and patient-centered clinical application.