Papers
1
Total Citations
26
H-Index
1
About
Mengxue Fan’s research lies at the intersection of rehabilitation robotics and neurorehabilitation, with a focus on understanding how robotic training modes influence brain activity. Her most cited work, a 2021 study using functional near-infrared spectroscopy (fNIRS), systematically compared cortical activation patterns during passive and active upper-limb rehabilitation robot training at varying speeds. This study, which has garnered 26 citations, provided critical insights into how different robotic assistance modes engage motor and sensory cortical regions, offering evidence-based guidance for designing more effective neurorehabilitation protocols. By demonstrating that active training elicits stronger and more distributed cortical responses than passive training, Fan’s work has helped shape the development of patient-centered robotic therapies that optimize neural recovery after stroke or injury. Her contributions are particularly valuable for researchers and clinicians seeking to tailor rehabilitation intensity and mode to individual patient needs. With a growing citation impact, Fan continues to advance the field of robot-assisted neurorehabilitation, bridging engineering and neuroscience to improve motor recovery outcomes.
Research Focus
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Top Papers
- 1