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Best Current Practice for Obtaining High Quality EEG Data During Simultaneous fMRI
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估计传感器空间EEG连接:在模拟数据中确定功能连接的最佳性能方法.

Aleksandra Miljevic1, Oscar W Murphy2, Paul B Fitzgerald3

  • 1Department of Psychiatry, Central Clinical School, Monash University, Melbourne, VIC, Australia.

Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology
|April 13, 2025
PubMed
概括

标准化脑电图 (EEG) 预处理改善了功能性大脑连接 (FC) 估计. 使用40个以上的6s+时代和特定的重新引用技术可以提高EEG-FC的准确性.

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科学领域:

  • 神经科学是一个神经科学.
  • 信号处理 信号处理

背景情况:

  • 使用脑电图 (EEG) 估计功能性大脑连接 (FC) 对于理解大脑功能至关重要.
  • 脑电图预处理方法的变化使得跨研究的FC发现的比较和整合变得复杂.
  • 为了可靠的FC测量和报告,需要对EEG预处理进行标准化.

研究的目的:

  • 评估不同预处理步骤对EEG-FC估计的影响.
  • 通过模拟数据验证用于EEG-FC评估的可靠方法管道.
  • 确定最佳的预处理选择,以便进行可靠的EEG-FC分析.

主要方法:

  • 使用模拟的EEG-FC数据与已知的地面真相连接.
  • 在各种FC测量和预处理变化中对FC估计进行了比较.
  • 关键的预处理步骤包括重新引用和时代化.

主要成果:

  • 将数据划分为40个以上的时代 (6s+长度) 产生了最准确的FC估计.
  • 参考电极标准化技术 (REST) 和普通平均重新引用的最佳表现是虚构连贯性和加权相滞后指数 (wPLI).
  • 大小平方连贯性在无参考技术的电流源密度 (CSD) 中表现最佳.

结论:

  • 预处理选择显著影响EEG-FC测量,包括引用,时代和FC指标.
  • 这项研究提供了基于证据的建议,以进行可靠的EEG-FC评估.
  • 这些发现支持开发用于FC分析的标准化EEG预处理管道.