美敦力出手，与脑机接口初创企业达成合作

Core Viewpoint - The collaboration between Precision Neuroscience and Medtronic aims to integrate brain-machine interface technology with surgical navigation systems to enhance clinical applications in neurosurgery, focusing on real-time visualization of brain structure and function during operations [2][4][14]. Group 1: Collaboration Framework - The partnership centers on the integration of Precision Neuroscience's Layer 7 brain-machine interface (BCI) and Medtronic's StealthStation surgical navigation system [4]. - Layer 7 is a flexible cortical electrode array with a thickness of one-fifth of a human hair, featuring 1024 electrodes for high spatial resolution and designed for minimally invasive implantation [6]. - StealthStation provides real-time 3D imaging for precise anatomical localization during cranial and spinal surgeries, becoming essential in complex brain procedures [8]. Group 2: Clinical Application Expansion - The clinical application of brain-machine interface technology is shifting from chronic control to intraoperative assistance, with Layer 7 initially designed for paralyzed patients now being adapted for rapid functional area identification during surgeries [9][10]. - The integration allows for simultaneous visualization of functional and structural data, aiding in high-risk surgical decisions such as tumor removal while preserving critical brain functions [10]. Group 3: Future Trends in Surgical Data Ecosystem - The collaboration indicates a trend towards a closed-loop surgical data ecosystem, connecting functional signals with real-time surgical systems [11][12]. - This integration could lead to the development of personalized brain function models, potentially creating digital brain maps that track functional status before, during, and after surgery [12]. Group 4: Industry Trends and Implications - The partnership reflects a shift from speculative brain-machine interface concepts to practical clinical applications, emphasizing a step-by-step approach to functional mapping in surgery [13][14]. - The collaboration highlights the importance of integrating high-frequency signal processing and AI analysis to enhance predictive capabilities and decision-making in surgical environments [16].