通用型脑机接口系统获突破 广泛用于运动重建、语言重建等多临床场景

Core Viewpoint - A significant research achievement has been made in developing a versatile implantable flexible brain-machine interface (BMI) system, which has demonstrated compatibility with over 20 digital and physical devices, achieving information transmission rates comparable to those of Neuralink [1][4]. Group 1: Technical Innovations - The research team has addressed the longstanding challenge of balancing high performance and safety in brain-machine interface technology by developing a highly flexible, high-density 256-channel μECoG electrode array, which has a density of 64 channels per square centimeter, enhancing the signal acquisition capabilities significantly [2][5]. - The μECoG electrode system has shown excellent long-term stability in a 203-day in vivo experiment, maintaining a signal-to-noise ratio above 20dB, which is essential for real-time decoding [3]. Group 2: Clinical Applications - The system has been clinically validated, allowing a patient to control brain activity and complete tasks such as playing games with high accuracy after only 7 minutes of model training, achieving a decoding accuracy of 90% for a one-dimensional task [4]. - In a clinical trial with a participant who completed 25,412 tasks over 19.87 hours, the participant achieved a peak bit rate of 4.15 bits per second, indicating performance on par with Neuralink subjects, showcasing the system's potential for various applications including smart homes and assistive devices [4][5]. Group 3: Future Implications - This breakthrough in high-throughput flexible brain-machine interfaces not only enhances clinical feasibility but also opens new avenues in neurorehabilitation, potentially providing home-based solutions for patients with motor function impairments [5].