Papers
1
Total Citations
15
H-Index
1
About
Jin Qiao is a leading researcher in neurorehabilitation, with a primary focus on brain-computer interface (BCI) systems for stroke recovery. Their work bridges motor imagery and motor attempt paradigms to restore motor function in patients with neurological impairments. In their most cited study, a randomized controlled trial, Qiao demonstrated the efficacy of a multimodal BCI system that integrates both motor imagery and motor attempts, achieving 15 citations since 2025. This research provides critical evidence that combining these neural strategies can enhance neuroplasticity and functional outcomes more effectively than conventional therapies. By systematically evaluating BCI-based rehabilitation, Qiao has advanced the clinical translation of non-invasive neural interfaces, offering scalable solutions for post-stroke motor recovery. Their contributions are shaping next-generation rehabilitation protocols, emphasizing personalized, closed-loop systems that adapt to individual patient needs. With a growing citation impact, Qiao’s work is pivotal for researchers and clinicians seeking evidence-based, technology-driven approaches to restore independence in stroke survivors.
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