Motor imagery (MI) holds significant relevance in neurorehabilitation as it offers the potential to simulate movement without physical execution. However, MI often elicits weaker cortical activation compared to actual movement execution. To address this challenge, our research focuses on developing a guidance system for MI enhancement, utilizing the rubber/virtual hand illusion based on multi-sensory integration. Furthermore, we are actively exploring the extension of this concept to other body parts, including the lower extremities and the entire body.

  Neurofeedback is a cutting-edge therapeutic technique that harnesses real-time brain activity monitoring to help individuals regulate their neural functions. At our lab, we are dedicated to enhancing patients' motor imagery ability through this innovative approach. We have introduced a novel robotic-feedback system designed to reduce false feedback, and our ongoing research involves the development of a real-time neurofeedback training system integrated with a virtual environment, with the goal of inducing brain plasticity more accurately.

  In the realm of neurorehabilitation, the ultimate objective is to induce brain plasticity accurately. We are actively working towards proposing a novel neurorehabilitation system and validating its performance by examining brain activation through advanced techniques such as electroencephalogram (EEG) and functional near-infrared spectroscopy (fNIRS). Our research in brain mapping aims to provide valuable insights into the optimization of neurorehabilitation protocols.