Xuefeng Fu
Papers
1
Total Citations
36
H-Index
1
About
Xuefeng Fu is a leading researcher in neurorehabilitation, with a primary focus on the neural mechanisms underlying motor recovery after stroke. Their most cited work, a 2023 functional near-infrared spectroscopy (fNIRS) study, demonstrates that upper limb intelligent feedback robot training significantly activates the cerebral cortex and enhances functional connectivity in stroke patients. This research, garnering 36 citations, provides critical evidence for the neurophysiological basis of robot-assisted therapy, moving beyond behavioral outcomes to reveal how such interventions reshape brain activity. By employing fNIRS to track oxygenated hemoglobin changes, Fu has pioneered a non-invasive method to evaluate treatment efficacy, bridging the gap between rehabilitation engineering and clinical neuroscience. Their contributions are particularly notable for elucidating the cortical reorganization that underpins functional gains, offering a mechanistic understanding that can guide personalized therapy protocols. This work positions Fu at the forefront of translational neurorehabilitation, where advanced robotics and brain imaging converge to improve patient outcomes. Their findings hold significant promise for optimizing stroke recovery protocols and advancing the field of intelligent rehabilitation systems.
Research Focus
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Top Papers
- 1