Kaili Shi

Papers

1

Total Citations

4

H-Index

1

About

Dr. Kaili Shi is a pioneering researcher at the intersection of neural engineering and pediatric rehabilitation, with a primary focus on motor imagery-brain-computer interfaces (MI-BCI) and cortical excitability in neurodevelopmental disorders. Her most cited work, "Exploring cortical excitability in children with cerebral palsy through lower limb robot training based on MI-BCI" (2025, 4 citations), represents a landmark contribution to the field. In this study, Dr. Shi employed cutting-edge EEG microstate and functional connectivity analysis to compare brain activity patterns across MI-BCI, motor imagery, and resting paradigms, providing the first rigorous theoretical framework for integrating MI-BCI with robotic rehabilitation in children with cerebral palsy. Her research directly addresses a critical gap in pediatric neurorehabilitation—understanding how brain-computer interfaces can modulate cortical plasticity in developing brains. By demonstrating distinct neural signatures during MI-BCI tasks, Dr. Shi’s work lays the foundation for personalized, non-invasive interventions that could transform motor recovery outcomes. Her findings have immediate implications for designing more effective, child-friendly rehabilitation protocols, positioning her as a rising leader in translational neural engineering.

Research Focus

Key Achievements

1
H-Index
1
Papers
4
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Exploring cortical excitability in children with cerebral palsy through lower limb robot training based on MI-BCI
4 citations · 2025
📈 Most Prolific Year: 2025 (1 Papers)
🤝 Key Collaborators: 10

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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