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Carbon-wire loop based artifact correction outperforms post-processing EEG/fMRI corrections-A validation of a real-time simultaneous EEG/fMRI correction method

机译:基于碳线回路的伪影校正优于后处理的EEG / fMRI校正-实时同步EEG / fMRI校正方法的验证

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摘要

Simultaneous EEG-fMRI combines two powerful neuroimaging techniques, but the EEG signal suffers from severe artifacts in the MRI environment that are difficult to remove. These are the MR scanning artifact and the blood-pulsation artifact - strategies to remove them are a topic of ongoing research. Additionally large, unsystematic artifacts are produced across the full frequency spectrum by the magnet's helium pump (and ventilator) systems which are notoriously hard to remove. As a consequence, experimenters routinely deactivate the helium pump during simultaneous EEG-fMRI acquisitions which potentially risks damaging the MRI system and necessitates more frequent and expensive helium refills.We present a novel correction method addressing both helium pump and ballisto-cardiac (BCG) artifacts, consisting of carbon-wire loops (CWL) as additional sensors to accurately track unpredictable artifacts related to subtle movements in the scanner, and an EEGLAB plugin to perform artifact correction. We compare signal-to-noise metrics of EEG data, corrected with CWL and three conventional correction methods, for helium pump off and on measurements. Because the CWL setup records signals in real-time, it fits requirements of applications where immediate correction is necessary, such as neuro-feedback applications or stimulation time-locked to specific sleep oscillations. The comparison metrics in this paper relate to: (1) the EEG signal itself, (2) the "eyes open vs. eyes closed" effect, and (3) an assessment of how the artifact corrections impacts the ability to perform meaningful correlations between EEG alpha power and the BOLD signal.Results show that the CWL correction corrects for He pump artifact and also produces EEG data more comparable to EEG obtained outside the magnet than conventional post-processing methods.
机译:同时进行的EEG-fMRI结合了两种强大的神经影像技术,但是EEG信号在MRI环境中遭受严重的伪影,难以消除。这些是MR扫描伪影和血液脉动伪影-去除它们的策略是正在进行的研究的主题。另外,磁铁的氦泵(和通风机)系统会在整个频谱上产生很大的非系统性伪影,这是众所周知很难去除的。因此,实验人员在同时进行EEG-fMRI采集期间会常规停用氦泵,这有可能损坏MRI系统并需要更频繁,更昂贵的氦补充。 ,由碳线环(CWL)作为附加传感器组成,以精确跟踪与扫描仪中的细微运动有关的不可预测的伪影,以及一个EEGLAB插件以执行伪影校正。我们比较了用CWL和三种常规校正方法校正的EEG数据的信噪比指标,以进行氦气的抽出和开启测量。因为CWL设置实时记录信号,所以它适合需要立即校正的应用程序的要求,例如神经反馈应用程序或锁定在特定睡眠振荡时间的刺激。本文中的比较指标涉及:(1)EEG信号本身,(2)“睁眼与闭眼”效应,以及(3)评估伪影校正如何影响在两眼之间进行有意义的关联的能力脑电图alpha功率和BOLD信号。结果表明,与传统的后处理方法相比,CWL校正可以校正He泵伪影,并且还可以产生比在磁体外部获得的脑电图更可比的脑电图数据。

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