Sho Nakagome
Papers
1
Total Citations
111
H-Index
1
About
Sho Nakagome is a leading researcher at the intersection of neural engineering, human locomotion, and brain-computer interfaces (BCIs). His work focuses on decoding the neural control of bipedal movement to advance rehabilitation technologies for individuals with motor impairments. Nakagome’s most cited study, “Gait adaptation to visual kinematic perturbations using a real-time closed-loop brain–computer interface to a virtual reality avatar” (2016, 111 citations), pioneered a novel framework for investigating how the brain adapts gait in response to visual perturbations. By integrating real-time BCI with immersive virtual reality, he demonstrated that users could volitionally modulate their neural activity to control a virtual avatar’s leg movements, revealing key insights into cortical plasticity during walking. This work laid the groundwork for closed-loop systems that combine neural decoding with sensory feedback, directly informing the design of next-generation lower-limb exoskeletons and prosthetics. Nakagome’s research has been instrumental in bridging basic neuroscience with clinical applications, earning recognition for its translational impact. His contributions continue to shape the future of neurorehabilitation, offering hope for restoring mobility through intelligent, brain-driven assistive devices.
Research Focus
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Top Papers
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