临床植入式电极精准定位脑深部肿瘤边界

Core Viewpoint - The successful clinical trial of a brain-machine interface for precise tumor boundary localization during surgery marks a significant breakthrough in China's independently developed clinical brain-machine interface technology [1][2]. Group 1: Technology and Innovation - The clinical trial utilized the NeuroDepth microelectrode developed by the Aerospace Information Innovation Research Institute, which allows for real-time detection of tumor boundary signals [1]. - The AIRCAS-128 device enables high-throughput synchronous detection and analysis of massive neural signals, transforming raw signals into precise "lesion navigation" data for real-time surgical guidance [1]. - This technology overcomes the limitations of traditional neural electrodes, which could only detect signals from the brain's surface and shallow layers, allowing for detection across all brain regions, including deep brain areas [1]. Group 2: Clinical Application - The trial was conducted on a glioma patient who experienced frequent seizures due to tumor pressure, successfully identifying tumor boundaries while protecting functional areas [2]. - The integration of imaging data with real-time feedback from NeuroDepth allowed for the complete removal of the tumor while minimizing damage to critical brain functions [2]. Group 3: Industry Implications - The success of this clinical trial is seen as a crucial step towards the clinical transformation and industrialization of brain-machine interface technology [2].