Jeremy D. Thorne

Carl von Ossietzky Universität Oldenburg

Papers

Total Citations

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About

Jeremy D. Thorne is a leading researcher in neurorehabilitation, specializing in the intersection of brain-computer interfaces, motor imagery, and embodied feedback for post-stroke recovery. His work centers on developing innovative neurofeedback-guided motor imagery training (NF-MIT) therapies that leverage anthropomorphic robotic systems to enhance neural plasticity and motor function in stroke survivors. Thorne’s major contribution lies in demonstrating that the type of sensory feedback—particularly embodied, self-paced feedback from robotic hands—significantly improves the efficacy of NF-MIT compared to traditional signal-processing-focused approaches. His most cited paper, “Embodied neurofeedback with an anthropomorphic robotic hand” (2016, 49 citations), pioneered this concept, showing how real-time, visually embodied feedback can strengthen motor cortex engagement during imagined movements. His subsequent work, “Exploring Self-Paced Embodiable Neurofeedback for Post-stroke Motor Rehabilitation” (2020, 18 citations), further refined these protocols, emphasizing patient-driven pacing to boost engagement and clinical outcomes. Thorne’s research has been instrumental in shifting NF-MIT from a purely technical optimization problem to a patient-centered, embodied intervention, earning recognition for its translational potential in restoring upper limb function. His studies continue to inform the design of more intuitive, effective rehabilitation technologies, making him a key figure in advancing neurofeedback-based stroke therapy.