ICA-based procedures for removing ballistocardiogram artifacts from EEG data acquired in the MRI scanner
ICA-based procedures for removing ballistocardiogram artifacts from EEG data acquired in the MRI scanner
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DOI：
10.1016/j.neuroimage.2004.09.041
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发表时间：
2005-01-01
期刊：
影响因子：
5.7
通讯作者：
Menon, V
中科院分区：
文献类型：
--
作者：
Srivastava, G;Crottaz-Herbette, S;Menon, V
在MRI扫描仪中采集的脑电图（EEG）数据包含显著的伪影，其中最突出的伪影之一是心冲击图（BCG）伪影。BCG伪影是由于与心动周期相关的血流脉动变化导致EEG电极在磁场内移动而产生的。独立分量分析（伊卡）是一种统计算法，可用于去除与感兴趣信号线性和独立混合的伪影。在这里，我们证明和验证伊卡在去除BCG伪影的MRI扫描仪中获得的EEG数据的有用性。根据我们的假设，BCG伪影在生理上独立于EEG，它被发现，伊卡始终导致五到六个独立的组件代表BCG伪影。去除这些成分后，观察到与BCG伪影相关的频率处的频谱功率显著降低。我们还表明，我们的ICA为基础的程序执行显着优于噪声消除方法，依赖于估计和减法的平均伪影波形从记录的EEG。此外，所提出的基于ICA的方法具有的优点是，它在ECG参考信号被破坏或不可用的情况下是有用的。(C)2004爱思唯尔公司All rights reserved.
Electroencephalogram (EEG) data acquired in the MRI scanner contains significant artifacts, one of the most prominent of which is ballistocardiogram (BCG) artifact. BCG artifacts are generated by movement of EEG electrodes inside the magnetic field due to pulsatile changes in blood flow tied to the cardiac cycle. Independent Component Analysis (ICA) is a statistical algorithm that is useful for removing artifacts that are linearly and independently mixed with signals of interest. Here, we demonstrate and validate the usefulness of ICA in removing BCG artifacts from EEG data acquired in the MRI scanner. In accordance with our hypothesis that BCG artifacts are physiologically independent from EEG, it was found that ICA consistently resulted in five to six independent components representing the BCG artifact. Following removal of these components, a significant reduction in spectral power at frequencies associated with the BCG artifact was observed. We also show that our ICA-based procedures perform significantly better than noise-cancellation methods that rely on estimation and subtraction of averaged artifact waveforms from the recorded EEG. Additionally, the proposed ICA-based method has the advantage that it is useful in situations where ECG reference signals are corrupted or not available. (C) 2004 Elsevier Inc. All rights reserved.