“硬币”和“头发丝” 意念赛车照进现实

Core Insights - China's invasive brain-machine interface (BMI) technology has entered the clinical trial phase, making it the second country globally to do so after the United States [2][3] - The technology involves a flexible electrode that is 1% the thickness of a human hair, designed to integrate seamlessly with brain tissue [3][4] - The successful implantation and operation of the system mark a significant advancement in the field, with the potential for widespread clinical applications [10][12] Group 1: Technology and Innovation - The electrode developed by the research team is five to seven times smaller in cross-sectional area than those used by Neuralink, showcasing a significant advancement in flexibility and integration with neural tissue [3][4] - The implantation procedure requires only a 5mm puncture in the skull, reducing surgical risks and recovery time compared to traditional methods [3][4] - The system processes neural signals in milliseconds, utilizing an online learning framework to enhance real-time decoding capabilities [3][4] Group 2: Clinical Applications and Future Prospects - The project aims to extend its applications to patients with complete spinal cord injuries, amputations, and conditions like amyotrophic lateral sclerosis, potentially restoring lost functions [12] - The Shanghai Brain-Machine Interface Clinical Trial and Transformation Key Laboratory has been established to facilitate the transition from research to clinical application [4][10] - The system is designed for long-term use, with plans for future upgrades to ensure patients can access the latest technology without frequent replacements [12] Group 3: Collaboration and Research - The collaboration between Fudan University and the Chinese Academy of Sciences exemplifies a synergistic approach to advancing brain-machine interface technology [8][10] - The research team has conducted over 20 simulation implantations prior to the actual procedure, ensuring precision and safety during the operation [8][10] - The system's design includes privacy protection mechanisms to safeguard the neural data collected from patients [11]