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相关实验视频

Updated: Sep 9, 2025

Neuroimaging-Guided TMS–EEG for Real-Time Cortical Network Mapping
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一个实用的预处理管道用于并发的TMS-iEEG: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.

bioRxiv : the preprint server for biology
|September 2, 2025
PubMed
概括

这项研究引入了与内EEG (TMS-iEEG) 数据相结合的跨磁刺激的预处理管道. 这种管道有效地减少了TMS人工物,改善了大脑活动和TMS机制的分析.

关键词:
同时使用的TMS-iEEG由TMS唤起的潜力艺术品的移除这样会让人失望.过方式重新引用信号预处理

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科学领域:

  • 神经科学
  • 计算神经科学
  • 生物医学工程

背景情况:

  • 对于理解大脑功能而言,跨磁刺激与内EEG (TMS-iEEG) 相结合至关重要.
  • 在TMS-iEEG数据中,TMS诱导的人工物使神经反应的分析复杂化.

研究的目的:

  • 开发和评估单脉冲TMS-iEEG数据的实际预处理管道.
  • 评估不同预处理步骤对人工物减少和信号质量的影响.
  • 为优化TMS-iEEG数据分析提供指导方针.

主要方法:

  • 开发了一个预处理管道,包括重新引用,过,文物插入和损害.
  • 使用真实和模拟的TMS-iEEG数据进行系统评估.
  • 在管道中比较了其他方法选择.

主要成果:

  • 拟议的管道有效地减少了TMS引起的文物和噪音.
  • 获得更清洁的内TMS唤起潜力 (iTEPs) 进行后续分析.
  • 方法选择,特别是引用,显著影响了iTEP的结果.

结论:

  • 开发的管道提高了TMS-iEEG数据分析的可靠性.
  • 定制引用策略对于准确的iTEP解释至关重要.
  • 推基于细分的过以减轻文物扭曲.
  • 建立了一个框架,以推进同时进行的TMS-iEEG研究和对大脑组织的理解.