Papers
4
Total Citations
49
H-Index
3
About
Shishi Chen is an emerging clinical researcher specializing in neurorehabilitation, with a particular focus on robotic-assisted therapy and brain stimulation techniques for stroke recovery. Chen's work sits at the intersection of technology and neuroscience, investigating how cutting-edge interventions can restore motor function in stroke survivors who struggle with both upper and lower limb impairments. Chen's most impactful contribution to date is a systematic review and meta-analysis examining robot-assisted gait training (RAGT), which has already garnered 29 citations since its 2024 publication — a remarkable achievement reflecting its immediate relevance to the rehabilitation community. Complementing this, Chen has pioneered investigations into how combining robotic training with non-invasive brain stimulation techniques — including intermittent theta burst stimulation (iTBS) and transcranial direct current stimulation (tDCS) — can enhance cortical activation and accelerate motor recovery, employing sophisticated neuroimaging tools such as functional near-infrared spectroscopy to illuminate underlying mechanisms. With a growing body of work including network meta-analyses synthesizing evidence across multiple neuromodulation strategies, Chen is rapidly establishing a reputation for rigorous, evidence-based research that bridges laboratory neuroscience and clinical practice, offering meaningful hope to the millions of stroke survivors worldwide seeking improved rehabilitation outcomes.
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