精确神经科学第7层微电皮质谱接口的初始经验,用于实时的手术内神经解码.
Kurt R Lehner1, Shiyu Luo2, Becca Greene2
11Department of Neurosurgery, Johns Hopkins Hospital, Baltimore.
Neurosurgical focus
|February 1, 2026
概括
高密度微电皮质图 (μECoG) 能够在手术期间实时控制语音和光标. 这项技术显示出未来大脑与计算机接口 (BCI) 在运动和沟通缺陷的患者中具有前景.
科学领域:
- 神经科学是一个神经科学.
- 生物医学工程 生物医学工程
- 医疗技术 医疗技术 医学技术
背景情况:
- 大脑-计算机接口 (BCI) 为严重运动和沟通障碍的人提供了潜在的解决方案.
- 高密度微电皮质谱 (μECoG) 阵列正在开发中,用于先进的神经记录.
- 新型μECoG器件用于实时BCI应用的手术内可行性需要评估.
研究的目的:
- 评估Layer 7皮层接口的可行性,一个高密度的μECoG阵列,用于手术内神经记录.
- 评估其实时脑计算机接口 (BCI) 应用中的实用性,特别是语音解码和光标控制.
- 为了确定设备的安全性和有效性,在瘤切除的清醒骨切除过程中.
主要方法:
- 四名接受瘤切除的醒着骨切除术的患者被纳入.
- 层7μECoG装置 (1024通道) 放置在运动皮层上.
- 术内任务包括操纵杆控制的运动和听觉诱导的语音重复,以及实时解码器训练.
主要成果:
- 七层设备耐受性很好,没有与设备相关的不良事件.
- 在整个瘤切除过程中实现了稳定,高分辨率的皮质记录.
- 准确的实时语音分类 (77.5%) 和光标控制 (78%-84%) 在手术内得到证明.
结论:
- 七层皮质接口可提供高分辨率,非透的手术内皮质记录.
- 它支持实时语音分类和光标控制在手术时间框架内.
- 高密度的μECoG对手术内功能映射和未来的慢性BCI系统具有重大潜力.
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