Shahabeddin Vahdat
McGill University, Institut Universitaire de Gériatrie de Montréal, University of Florida
Papers
6
Total Citations
137
H-Index
4
About
Shahabeddin Vahdat is a neuroscientist and rehabilitation researcher whose work bridges motor learning, sensorimotor plasticity, and neuroimaging to advance our understanding of how the brain adapts during movement and recovers after injury. His research spans three interconnected domains: perceptual-motor learning, speech motor adaptation, and robot-assisted stroke rehabilitation. In his highly cited 2013 work on perceptual learning in sensorimotor adaptation (60 citations), Vahdat demonstrated that motor skill acquisition in poorly defined sensory environments requires the co-development of perceptual and motor representations — a finding with broad implications for understanding how humans learn complex skills. His 2018 stroke rehabilitation study (50 citations) provided compelling evidence that a single session of robot-controlled proprioceptive training can meaningfully alter functional brain connectivity and improve reaching accuracy in chronic stroke survivors, opening new avenues for neuroplasticity-based therapies. Complementing this, his work on speech motor learning identified the distinct neural networks underlying somatosensory contributions to vocal adaptation. Across his body of research, Vahdat employs resting-state fMRI, robotics, and electromyography to map how training reshapes sensorimotor networks — making his work essential reading for students interested in neurorehabilitation and motor neuroscience.
Research Focus
Key Achievements
Top Papers
- 1Perceptual learning in sensorimotor adaptation60 citations · 2013
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- 3Neural Basis of Sensorimotor Plasticity in Speech Motor Adaptation16 citations · 2018
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