Yumie Ono

Meiji University

Papers

4

Total Citations

88

H-Index

4

About

Yumie Ono is a leading researcher in neurorehabilitation, specializing in brain-machine interfaces (BMIs) and motor-imagery training for stroke recovery. Her work centers on restoring motor function in paralyzed patients by leveraging event-related desynchronization (ERD) and proprioceptive neurofeedback to enhance neuroplasticity. Ono’s most influential paper, “Enhancement of motor-imagery ability via combined action observation and motor-imagery training with proprioceptive neurofeedback” (2018, 61 citations), demonstrates a novel method to improve motor-imagery skills—a critical component of BMI-based therapy. She also developed the Digital Mirror Box (DMB), a BMI system providing physiologically congruent neurofeedback for hand motor rehabilitation (2018, 6 citations), and pioneered a closed-loop brain stimulation approach combined with robot gait training for post-stroke gait disturbance (2023, 7 citations). Her 2019 study on a BMI system for stroke rehabilitation (14 citations) highlights proprioceptive feedback triggered by successful ERD, targeting mu band activity. With a cumulative impact of nearly 100 citations, Ono’s innovations bridge neuroscience and engineering, offering scalable, patient-centered solutions for motor impairment. Her work not only advances clinical rehabilitation but also deepens understanding of cortical plasticity, making her a key figure in translational neuroengineering.

Research Focus

Key Achievements

4
H-Index
4
Papers
88
Total Citations
22
Avg Citations/Paper
🏆 Most Cited Paper
Enhancement of motor-imagery ability via combined action observation and motor-imagery training with proprioceptive neurofeedback
61 citations · 2018
📈 Most Prolific Year: 2018 (2 Papers)
🤝 Key Collaborators: 19
🏛 Institutions: Meiji University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 16 days ago