Yanni Zhang
Papers
1
Total Citations
11
H-Index
1
About
Yanni Zhang is a leading researcher at the intersection of neurorehabilitation and soft robotics, with a primary focus on understanding and enhancing brain plasticity for motor recovery. Her key contributions center on the synergistic effects of mirror visual feedback (MVF) combined with soft robotic hand rehabilitation systems. In her highly cited 2022 study, Zhang employed functional near-infrared spectroscopy (fNIRS) to demonstrate that this combined approach elicits immediate, synergistic cortical activation in healthy subjects—a critical step toward optimizing therapy for stroke survivors. This work, which has garnered 11 citations, provides mechanistic insights into how MVF amplifies the neural benefits of robotic assistance, offering a pathway to more effective, non-invasive rehabilitation protocols. By bridging robotics and neuroscience, Zhang’s research has significant implications for designing patient-specific therapies that leverage multimodal sensory feedback. Her findings not only advance the theoretical understanding of cortical reorganization but also inform the development of next-generation wearable devices for hand function recovery. Zhang’s work is essential reading for students and researchers in biomedical engineering, rehabilitation science, and human-machine interaction.
Research Focus
Key Achievements
Top Papers
- 1