Papers
29
Total Citations
1,483
H-Index
21
About
Alireza Gharabaghi is a pioneering neuroscientist and biomedical engineer whose work sits at the intersection of brain-computer interfaces (BCIs), neuroprosthetics, and neurorehabilitation. His research has fundamentally advanced our understanding of how neural signals can be harnessed to restore motor function in stroke patients and individuals with severe neurological impairments. Gharabaghi's most significant contributions involve closing the sensorimotor loop — integrating BCI technology with robotic exoskeletons and neuromuscular stimulation to create adaptive, brain-state-dependent rehabilitation systems. His landmark 2011 paper on haptic feedback in BCIs (180 citations) demonstrated that sensory feedback dramatically improves motor imagery decoding, while subsequent work explored how cortical stimulation coupled with brain-machine interfaces can actively reshape motor cortex excitability (130 citations). His investigations into cortico-muscular coherence revealed neuroplasticity mechanisms in severely impaired stroke patients previously considered beyond meaningful recovery (91 citations). Across more than a decade of research, Gharabaghi has consistently bridged neuroscience and engineering, developing hybrid neuroprosthetic systems that translate brain signals into purposeful movement. With a body of work accumulating nearly 1,000 citations, his contributions have materially shaped modern stroke rehabilitation paradigms and continue to inspire translational neurotechnology research worldwide.
Research Focus
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- 10Towards brain-robot interfaces in stroke rehabilitation67 citations · 2011