Manuel Gomez-Rodriguez

Papers

Total Citations

275

H-Index

About

Manuel Gomez-Rodriguez is a leading researcher at the intersection of computational neuroscience and neurorehabilitation, with a primary focus on brain-computer interfaces (BCIs) and robot-assisted therapy. His work centers on restoring motor function in patients with severe hemiparetic syndromes, particularly those resulting from stroke. A key contribution is his pioneering exploration of the sensorimotor loop, demonstrating how haptic feedback—the sense of touch—can significantly improve the decoding of motor imagery from brain signals. His landmark 2011 paper on this topic, which has garnered 180 citations, established a critical framework for closing the loop between neural commands and physical sensation, thereby enhancing BCI performance. Building on this, his 2011 work on brain-robot interfaces for stroke rehabilitation (67 citations) outlined a promising approach to combine active physical therapy with neural control. Gomez-Rodriguez’s research is notable for its direct clinical applicability, aiming to transform rehabilitation for patients with severe motor impairments by creating more intuitive and effective assistive technologies that leverage the brain’s natural plasticity.