创造目前三项世界之最 中国侵入式脑机接口进入临床试验阶段

Core Insights - The article highlights the significant progress in brain-machine interface (BMI) technology, particularly focusing on China's first invasive BMI clinical trial, marking a milestone in the medical application of this technology [1][2][11] - The Chinese research team has developed the world's smallest and most flexible neural electrodes, which are now in clinical trials, positioning China as the second country after the United States to enter this phase [1][5] Group 1: Clinical Trial Details - The invasive BMI clinical trial was successfully conducted by a collaboration between the Chinese Academy of Sciences and Fudan University, with the first subject being a male patient who lost his limbs due to an electrical accident [2][11] - The system has shown stable operation since its implantation in March 2025, with no infections or electrode failures reported, allowing the patient to perform tasks like playing chess and racing games within 2 to 3 weeks of training [4][10] Group 2: Technological Advancements - The neural electrodes developed by the Chinese team have a cross-sectional area that is 1/5 to 1/7 of those used by Neuralink, with flexibility exceeding Neuralink's by over 100 times, minimizing damage to brain tissue [5][8] - The implanted BMI system is capable of long-term stable collection of single-neuron spike signals, providing a solid data foundation for applications in neuroprosthetics [5][7] Group 3: Surgical and Operational Innovations - The BMI system features a compact design with a diameter of 26mm and a thickness of less than 6mm, allowing for a minimally invasive surgical procedure that reduces risks and recovery time [7][11] - The surgical procedure utilized advanced imaging techniques to create a detailed 3D model of the patient's brain, ensuring precise electrode placement [11][13] Group 4: Future Applications and Research Directions - The research team aims to expand the functionality of the BMI system to enable patients to control robotic arms and other external devices, enhancing their quality of life [11][12] - Future developments may incorporate machine learning and artificial intelligence to interpret more complex signals, potentially allowing for communication through thought [11][12]