Papers
1
Total Citations
37
H-Index
1
About
Dr. Li-jing Gu has made significant contributions to neurorehabilitation, with a primary focus on developing and evaluating brain-machine interface (BMI) technologies for stroke recovery. Her most cited work, a 2022 meta-analysis of randomized controlled trials, systematically demonstrated that BMI-based training can effectively improve upper extremity function in stroke patients—a critical finding given that arm impairment severely impacts quality of life. By synthesizing evidence from multiple studies, this paper has garnered 37 citations, establishing Dr. Gu as a key voice in translating neural engineering into clinical practice. Her research addresses the urgent need for innovative rehabilitation methods that bypass damaged neural pathways by extracting brain signals and providing real-time feedback, thereby promoting neuroplasticity. Dr. Gu’s work bridges the gap between cutting-edge BMI technology and practical, patient-centered outcomes, offering hope for millions suffering from post-stroke motor deficits. Her meta-analysis not only validates the efficacy of this approach but also guides future clinical trials and therapeutic protocols, solidifying her reputation as a leading researcher in restorative neurology and human-machine interaction.
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