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首页> 外文期刊>NeuroImage >Multimodal integration of high-resolution EEG and functional magnetic resonance imaging data: a simulation study.
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Multimodal integration of high-resolution EEG and functional magnetic resonance imaging data: a simulation study.

机译:高分辨率脑电图和功能性磁共振成像数据的多峰集成:一项仿真研究。

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摘要

Previous simulation studies have stressed the importance of the use of fMRI priors in the estimation of cortical current density. However, no systematic variations of signal-to-noise ratio (SNR) and number of electrodes were explicitly taken into account in the estimation process. In this simulation study we considered the utility of including information as estimated from fMRI. This was done by using as the dependent variable both the correlation coefficient and the relative error between the imposed and the estimated waveforms at the level of cortical region of interests (ROI). A realistic head and cortical surface model was used. Factors used in the simulations were the different values of SNR of the scalp-generated data, the different inverse operators used to estimated the cortical source activity, the strengths of the fMRI priors in the fMRI-based inverse operators, and the number of scalp electrodes used in the analysis. Analysis of variance results suggested that all the considered factors significantly afflict the correlation and the relative error between the estimated and the simulated cortical activity. For the ROIs analyzed with simulated fMRI hot spots, it was observed that the best estimation of cortical source currents was performed with the inverse operators that used fMRI information. When the ROIs analyzed do not present fMRI hot spots, both standard (i.e., minimum norm) and fMRI-based inverse operators returned statistically equivalent correlation and relative error values.
机译:先前的模拟研究已经强调了使用fMRI先验评估皮层电流密度的重要性。但是,在估计过程中,没有明确考虑信噪比(SNR)和电极数量的系统变化。在此模拟研究中,我们考虑了将功能磁共振成像所估计的信息包括在内的效用。这是通过将相关系数以及在感兴趣的皮质区域(ROI)级别处的施加波形和估计波形之间的相关系数和相对误差两者作为因变量来完成的。使用了逼真的头部和皮质表面模型。模拟中使用的因素是头皮生成的数据的SNR值不同,用于估计皮层源活动的不同逆算子,基于fMRI的逆算子中fMRI先验的强度以及头皮电极的数量用于分析。方差分析结果表明,所有考虑的因素都极大地影响了估计皮层活动与模拟皮层活动之间的相关性和相对误差。对于用模拟fMRI热点分析的ROI,可以观察到,使用fMRI信息的逆算子可以对皮质源电流进行最佳估计。当分析的ROI不显示fMRI热点时,标准(即最小范数)和基于fMRI的逆算子都返回统计上相等的相关性和相对误差值。

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