Hyunkoo Kang

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About

Hyunkoo Kang is a leading researcher in neurorehabilitation, with a primary focus on the neural mechanisms underlying recovery after stroke. His most-cited work, "Structural and functional improvements due to robot-assisted gait training in the stroke-injured brain" (2016, 32 citations), represents a pivotal contribution to the field. In this study, Kang demonstrated that robot-assisted gait training not only improves motor function but also induces measurable structural and functional plasticity in the stroke-injured brain, providing critical evidence for technology-driven rehabilitation. This work has helped bridge the gap between engineering and clinical neuroscience, offering new hope for personalized recovery protocols. Kang’s research is notable for its integration of advanced neuroimaging with rehabilitation robotics, revealing how targeted training can reshape brain networks. With over 30 citations on this single paper, his findings have influenced both clinical practice and subsequent studies on neuroplasticity. Kang’s dedication to translating mechanistic insights into practical therapies makes him a key figure in modern stroke rehabilitation, inspiring students and researchers to explore the intersection of robotics, brain repair, and patient-centered care.