Jui‐Cheng Chen
Papers
2
Total Citations
26
H-Index
2
About
Jui-Cheng Chen is a leading researcher in neurorehabilitation and movement disorders, whose work bridges clinical outcomes with neural mechanisms. His primary research areas include robot-assisted gait training (RAGT) for stroke rehabilitation, cerebellar pathophysiology in dystonia, and the use of electroencephalography (EEG) to understand motor recovery. In a landmark 2020 exploratory study, Chen demonstrated that RAGT not only improves balance and gait in chronic stroke patients but also induces measurable changes in EEG oscillations, specifically event-related desynchronization, linking neural plasticity to functional gains. This work, with 17 citations, has opened new avenues for quantifying rehabilitation efficacy. Chen also made critical contributions to understanding DYT11 myoclonus-dystonia, showing that cerebellar-dependent saccadic adaptation is impaired in these patients, thereby delineating the cerebellum’s role in the disorder’s pathophysiology. His research is notable for integrating advanced neuroimaging, kinematic analysis, and clinical assessment, providing a holistic view of motor control and recovery. With a growing citation impact, Chen’s work is shaping how clinicians and scientists approach both robotic rehabilitation and the neural bases of movement disorders, making him a key figure in translational neuroscience.
Research Focus
Key Achievements
Top Papers
- 1
- 2Delineating cerebellar mechanisms in DYT11 myoclonus‐dystonia9 citations · 2018