Kyeong Joo Song
Papers
1
Total Citations
17
H-Index
1
About
Kyeong Joo Song is a leading researcher in neurorehabilitation, with a primary focus on the application of robotic technologies to restore motor function after neurological injury. Her work sits at the intersection of rehabilitation engineering and clinical neuroscience, specifically investigating how robot-assisted gait training can drive cortical plasticity in stroke survivors. In her landmark 2021 study, Song demonstrated that training with the Morning Walk® robotic exoskeleton significantly alters cortical activation patterns—measured via functional near-infrared spectroscopy (fNIRS)—compared to conventional physiotherapy. This work, which has garnered 17 citations, provided some of the first evidence that robotic gait training not only improves functional walking outcomes but also induces measurable neuroplastic changes in the sensorimotor cortex. Her research is instrumental in moving the field beyond simple biomechanical assessments toward a deeper understanding of the brain’s adaptive response to robotic intervention. By bridging the gap between engineering design and clinical application, Song’s contributions are shaping the next generation of evidence-based neurorehabilitation protocols, offering new hope for functional recovery in patients with severe motor impairments.
Research Focus
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Top Papers
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