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相关实验视频

Updated: Sep 8, 2025

Brain State-dependent Brain Stimulation with Real-time Electroencephalography-Triggered Transcranial Magnetic Stimulation
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硬件支持的低延迟节奏大脑状态跟踪,用于大脑刺激应用

Milana Makarova1, Nikita Fedosov2, Julia Nekrasova1

  • 1Center for Bioelectric Interfaces, Higher School of Economics, Moscow, Russia.

NeuroImage
|September 5, 2025
PubMed
概括

这是一个新的实时系统来跟踪大脑振荡. 这项技术能够实现精确的,即时的脑电脑交互,为先进的神经科学研究和临床应用铺平道路.

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科学领域:

  • 神经科学
  • 生物医学工程
  • 信号处理

背景情况:

  • 未来的神经科学需要实时,环境依赖的脑机接口.
  • 现有系统经常面临延迟,限制与神经组织的双向相互作用.

研究的目的:

  • 开发一个真正的实时系统来追踪大脑的振荡状态.
  • 为了研究和临床使用, 与活体大脑进行即时的非侵入性交互.

主要方法:

  • HarPULL使用一个状态空间估计框架,用于实时相位和振幅跟踪.
  • 该算法在EEG放大器的计算核心上实现了实时操作系统,以最大限度地减少数据传输延迟.
  • 使用模拟和真实数据验证了系统性能,包括实时状态依赖的跨磁刺激 (TMS).

主要成果:

  • 稳定状态的彩色卡尔曼波器, 占脑噪声的1/f, 提高了相位跟踪的准确性.
  • 根据皮质节律阶段,HarPULL显示TMS触发的时间至少延迟2毫秒.
  • 基于传感动力节奏状态的显著调节的运动唤起潜力 (MEP) 激发的实时TMS.
  • 阶段依赖的肌肉皮质表示 (MCR) 地图是实时生成的,显示激发状态期间肌肉界线的改善.

结论:

  • HarPULL是第一个真正实时的技术, 可以立即跟踪大脑节律活动.
  • 这种系统与大脑建立了近乎瞬间的非侵入性接触.
  • 在临床诊断和科学研究中,HarPULL具有广泛的应用潜力.