Caili Ren
Papers
1
Total Citations
8
H-Index
1
About
Caili Ren is a leading researcher in neurorehabilitation, specializing in brain-computer interfaces (BCIs), soft robotics, and functional near-infrared spectroscopy (fNIRS). Ren’s most-cited work, a 2025 randomized controlled fNIRS study, investigates the effects and neural mechanisms of a BCI-controlled soft robotic glove on upper limb function in patients with subacute stroke. This landmark contribution demonstrates how BCI-driven soft robotics can enhance motor recovery, with 8 citations already reflecting its growing influence in the field. By combining advanced neuroimaging with innovative rehabilitation technology, Ren elucidates the cortical reorganization underlying functional improvements, offering a mechanistic understanding of BCI-based therapies. Ren’s research bridges engineering and clinical neuroscience, providing evidence-based protocols that could transform stroke rehabilitation. With a focus on translating neural signals into tangible motor gains, Ren’s work is pivotal for developing accessible, personalized interventions. This study not only advances the science of neuroplasticity but also sets a benchmark for future BCI-soft robotic systems, making Ren a key figure in the quest to restore independence for stroke survivors.
Research Focus
Key Achievements
Top Papers
- 1