Effect of electrocardiogram interference on cortico-cortical connectivity analysis and a possible solution.
Effect of electrocardiogram interference on cortico-cortical connectivity analysis and a possible solution.
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DOI：
10.1016/j.jneumeth.2016.06.009
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发表时间：
2016-09-01
影响因子：
3
通讯作者：
du Plessis A
中科院分区：
文献类型：
--
作者：
Govindan RB;Kota S;Al-Shargabi T;Massaro AN;Chang T;du Plessis A
脑电图（EEG）信号经常受到心电图（ECG）干扰的污染，影响脑电图的定量表征。我们提出了零相干（null-coherence），一种基于频率的方法，使用同时记录的心电图作为参考信号来衰减脑电图中的心电图干扰。在使用数值模拟数据验证所提出的方法后，我们将该方法应用于六名接受新生儿脑病低温治疗的新生儿记录的脑电图。我们将我们的方法与独立成分分析 (ICA) 进行比较，独立成分分析 (ICA) 是一种先前提出的用于衰减 EEG 信号中 ECG 伪影的方法。将心电图衰减脑电图的功率谱和皮质-皮质连接性与原始脑电图的功率谱和皮质-皮质连接性进行比较。零相干方法减弱了心电图污染，而不会在脑电图中留下任何心电图残留。我们表明，零相干方法在减轻心电图污染而不增强皮质-皮质连接方面比 ICA 表现更好。我们的分析表明，使用 ICA 去除 EEG 中的 ECG 污染会遇到重新分布问题，而零相干方法则不会。我们证明零相干和 ICA 方法都能减弱心电图污染。然而，与使用零相干方法获得的脑电图相比，ICA 清洁后获得的脑电图显示出更高的皮质-皮质连接性。这表明在皮层-皮质连接分析中，零相干性在减弱脑电图中的心电图干扰方面优于 ICA。
Electroencephalogram (EEG) signals are often contaminated by the electrocardiogram (ECG) interference, which affects quantitative characterization of EEG. We propose null-coherence, a frequency-based approach, to attenuate the ECG interference in EEG using simultaneously recorded ECG as a reference signal. After validating the proposed approach using numerically simulated data, we apply this approach to EEG recorded from six newborns receiving therapeutic hypothermia for neonatal encephalopathy. We compare our approach with an independent component analysis (ICA), a previously proposed approach to attenuate ECG artifacts in the EEG signal. The power spectrum and the cortico-cortical connectivity of the ECG attenuated EEG was compared against the power spectrum and the cortico-cortical connectivity of the raw EEG. The null-coherence approach attenuated the ECG contamination without leaving any residual of the ECG in the EEG. We show that the null-coherence approach performs better than ICA in attenuating the ECG contamination without enhancing cortico-cortical connectivity. Our analysis suggests that using ICA to remove ECG contamination from the EEG suffers from redistribution problems, whereas the null-coherence approach does not. We show that both the null-coherence and ICA approaches attenuate the ECG contamination. However, the EEG obtained after ICA cleaning displayed higher cortico-cortical connectivity compared with that obtained using the null-coherence approach. This suggests that null-coherence is superior to ICA in attenuating the ECG interference in EEG for cortico-cortical connectivity analysis.
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