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相关实验视频

Updated: Jan 7, 2026

Neuroimaging-Guided TMS–EEG for Real-Time Cortical Network Mapping
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为同步TMS-iEEG提供一个实际的预处理管道:关键步骤和方法考虑

Zhuoran Li1, Xianqing Liu1, Joshua Tatz2

  • 1University of Iowa Stead Family Department of Pediatrics, Iowa City, IA, USA.

NeuroImage
|December 25, 2025
PubMed
概括

这项研究引入了一种预处理管道,用于与内EEG (TMS-iEEG) 数据相结合的跨磁刺激. 该管道有效地减少了TMS诱导的文物,改善了对大脑活动和TMS机制的分析.

关键词:
同时使用的TMS-iEEG.通过TMS唤起的潜力.艺术品的移除 移除 移除让人惊的是,这是一件令人惊的事情.过过器可以过.通过重新引用重新引用.信号预处理 信号预处理

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科学领域:

  • 神经科学是一个神经科学.
  • 大脑与计算机的接口
  • 信号处理 信号处理

背景情况:

  • 跨磁刺激与内EEG (TMS-iEEG) 结合,对于理解大脑组织和动态至关重要.
  • 在iEEG数据中的TMS诱导的人工物对准确的神经反应分析提出了重大挑战.

研究的目的:

  • 开发和验证用于单脉冲TMS-iEEG数据的实际预处理管道.
  • 系统地评估预处理步骤对人工物减少的影响,并随后分析TMS唤起的潜力 (iTEPs).

主要方法:

  • 开发了一个预处理管道,包括重新引用,过,文物插值和损害.
  • 使用真实和模拟的TMS-iEEG数据评估了管道的有效性.
  • 系统地比较了管道中的方法选择.

主要成果:

  • 拟议的管道有效地减弱了TMS诱导的工件和噪声,从而导致更清洁的iEEG信号.
  • 特定的预处理选择,特别是引用策略,显著影响了内TMS唤起潜力的形态和幅度 (iTEPs).
  • 建议采用基于细分的过方法,不包括文物窗口,以尽量减少信号扭曲.

结论:

  • 开发的预处理管道为处理TMS-iEEG数据中的工件提供了实用解决方案.
  • 针对特定数据特征量身定制预处理方法,特别是引用,对于准确的iTEP分析至关重要.
  • 这项工作有助于建立TMS-iEEG研究的标准化框架,推进对大脑功能和TMS影响的理解.