Junichi Ushiba
Papers
16
Total Citations
393
H-Index
9
About
Junichi Ushiba is a pioneering neuroscientist and rehabilitation engineer whose research sits at the intersection of brain-computer interface (BCI) technology, neurorehabilitation, and motor control. Based at Keio University, Ushiba has dedicated his career to restoring motor function in individuals with post-stroke hemiplegia, particularly targeting upper limb paralysis — one of the most clinically challenging consequences of stroke. His most influential contributions include developing EEG-based classification systems for imaginary motor movements (116 citations) and advancing BMI-driven neurorehabilitation frameworks that harness the brain's neuroplastic potential to promote functional recovery, rather than relying solely on compensatory strategies. His work on sensorimotor connectivity following neurofeedback-based motor exercise (49 citations) has deepened scientific understanding of how BCI training restructures neural pathways in chronic stroke survivors. Ushiba has also championed objective, quantitative assessment tools, validating robotic measures of reaching movement (79 citations) and proprioceptive testing protocols alongside clinical standards. More recently, his team developed Rapid-IAF, a Bayesian algorithm for individualized EEG calibration, improving BCI accessibility. Collectively, his research has reshaped how clinicians and engineers approach stroke rehabilitation, bridging fundamental neuroscience with real-world therapeutic application.
Research Focus
Key Achievements
Top Papers
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- 8Brain-Computer Interface Research: A State-of-the-Art Summary 511 citations · 2017
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