Linguo Zhang
Papers
1
Total Citations
28
H-Index
1
About
Linguo Zhang is a leading researcher in neurorehabilitation, with a primary focus on brain–computer interfaces (BCIs) and their application to motor recovery after stroke. Their most cited work, a 2022 functional near-infrared spectroscopy study, demonstrates that BCI-robot training significantly enhances upper extremity performance in chronic stroke patients with moderate to severe paresis. This research not only provides a novel therapeutic approach but also reveals critical neuroplastic changes in the primary motor cortex (M1), offering mechanistic insights into how BCI-driven physiotherapy can rewire the damaged brain. With 28 citations, this study has already shaped discussions in clinical neuroscience and rehabilitation engineering. Zhang’s contributions bridge the gap between cutting-edge neurotechnology and practical rehabilitation, making their work highly relevant for students and researchers interested in neural interfaces, stroke recovery, and cortical plasticity. Their findings underscore the potential of BCI systems to augment traditional therapies, paving the way for more personalized and effective interventions in neurorehabilitation.
Research Focus
Key Achievements
Top Papers
- 1