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Exploring the origins of EEG motion artefacts during simultaneous fMRI acquisition: Implications for motion artefact correction

机译:在同时FMRI习得期间探索EEG运动人工制品的起源:运动人工制品的影响

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摘要

Motion artefacts (MAs) are induced within EEG data collected simultaneously with fMRI when the subject's head rotates relative to the magnetic field. The effects of these artefacts have generally been ameliorated by removing periods of data during which large artefact voltages appear in the EEG traces. However, even when combined with other standard post-processing methods, this strategy does not remove smaller MAs which can dominate the neuronal signals of interest. A number of methods are therefore being developed to characterise the MA by measuring reference signals and then using these in artefact correction. These methods generally assume that the head and EEG cap, plus any attached sensors, form a rigid body which can be characterised by a standard set of six motion parameters. Here we investigate the motion of the head/EEG cap system to provide a better understanding of MAs. We focus on the reference layer artefact subtraction (RLAS) approach, as this allows measurement of a separate reference signal for each electrode that is being used to measure brain activity.
机译:当受试者的头相对于磁场旋转时,在与FMRI同时收集的EEG数据中诱导运动伪影(MAS)。通过去除在脑电图迹线中的大量空间电压的数据期间,这些人工制品的效果通常可以改善。然而,即使与其他标准的后处理方法结合使用时,该策略也不会消除较小的MA,其可以占据感兴趣的神经元信号。因此正在开发许多方法来通过测量参考信号来表征MA,然后在人工制品校正中使用这些方法。这些方法通常假设头部和eeg帽加上任何附加的传感器,形成刚体,该刚体可以以标准的六种运动参数为特征。在这里,我们调查了头部/ EEG CAP系统的运动,以更好地了解MAS。我们专注于参考层伪影减法(RLA)方法,因为这允许测量用于测量脑活动的每个电极的单独参考信号。

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