EEG参考的选择已被广泛研究。然而,对于脑电图数据的最合适重新参考的选择仍然存在争议。此外,脑电图参考在估计功能性脑心相互作用(BHI)中的作用,结合不同的多元建模策略,尚未调查。
这项研究确定了结合适当的EEG电参考和信号处理方法的最佳方法,以进行有效的功能BHI评估。脑电图参考在普通平均值之间的影响,平均乳突,拉普拉斯参考,Cz参考,在不同的BHI方法中探索了参比电极标准化技术(REST),包括合成数据生成(SDG)模型,心跳诱发电位,心跳诱发的振荡,和最大信息系数。
SDG模型在EEG参考之间表现出很高的鲁棒性,而最大信息系数法表现出很高的灵敏度。EEG的常见平均值和REST参考在方法间比较中显示出良好的一致性。拉普拉斯,和Cz参考显著偏置BHI测量。
使用基于共同平均值的EEG参考优于使用其他参考以用于估计有向功能BHI的一致性。我们不建议使用基于分析推导的EEG参考,因为实验条件可能不符合其最佳估计的要求。特别是在临床环境中。
使用EEG电参考的共同平均值被认为是定量的最合适的选择,功能BHI评估。
The choice of EEG reference has been widely studied. However, the choice of the most appropriate re-referencing for EEG data is still debated. Moreover, the role of EEG reference in the estimation of functional Brain-Heart Interplay (BHI), together with different multivariate modelling strategies, has not been investigated yet.
This study identifies the best methodology combining a proper EEG electrical reference and signal processing methods for an effective functional BHI assessment. The effects of the EEG reference among common average, mastoids average, Laplacian reference, Cz reference, and the reference electrode standardization technique (REST) were explored throughout different BHI methods including synthetic data generation (SDG) model, heartbeat-evoked potentials, heartbeat-evoked oscillations, and maximal information coefficient.
The SDG model exhibited high robustness between EEG references, whereas the maximal information coefficient method exhibited a high sensitivity. The common average and REST references for EEG showed a good consistency in the between-method comparisons. Laplacian, and Cz references significantly bias a BHI measurement.
The use of EEG reference based on a common average outperforms on the use of other references for consistency in estimating directed functional BHI. We do not recommend the use of EEG references based on analytical derivations as the experimental conditions may not meet the requirements of their optimal estimation, particularly in clinical settings.
The use of a common average for EEG electrical reference is concluded to be the most appropriate choice for a quantitative, functional BHI assessment.