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Combined EEG/MEG Can Outperform Single Modality EEG or MEG Source Reconstruction in Presurgical Epilepsy Diagnosis

机译:联合的EEG / MEG在术前癫痫诊断中可以胜过单一模式的EEG或MEG来源重建

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摘要

We investigated two important means for improving source reconstruction in presurgical epilepsy diagnosis. The first investigation is about the optimal choice of the number of epileptic spikes in averaging to (1) sufficiently reduce the noise bias for an accurate determination of the center of gravity of the epileptic activity and (2) still get an estimation of the extent of the irritative zone. The second study focuses on the differences in single modality EEG (80-electrodes) or MEG (275-gradiometers) and especially on the benefits of combined EEG/MEG (EMEG) source analysis. Both investigations were validated with simultaneous stereo-EEG (sEEG) (167-contacts) and low-density EEG (ldEEG) (21-electrodes). To account for the different sensitivity profiles of EEG and MEG, we constructed a six-compartment finite element head model with anisotropic white matter conductivity, and calibrated the skull conductivity via somatosensory evoked responses. Our results show that, unlike single modality EEG or MEG, combined EMEG uses the complementary information of both modalities and thereby allows accurate source reconstructions also at early instants in time (epileptic spike onset), i.e., time points with low SNR, which are not yet subject to propagation and thus supposed to be closer to the origin of the epileptic activity. EMEG is furthermore able to reveal the propagation pathway at later time points in agreement with sEEG, while EEG or MEG alone reconstructed only parts of it. Subaveraging provides important and accurate information about both the center of gravity and the extent of the epileptogenic tissue that neither single nor grand-averaged spike localizations can supply.
机译:我们调查了两种重要的手段,以改善术前癫痫诊断中的来源重建。第一项研究是关于平均选择癫痫尖峰数目的最佳选择,以平均(1)充分降低噪声偏差以准确确定癫痫活动的重心,以及(2)仍可估计出癫痫发作程度的估计值。刺激性区域。第二项研究着眼于单模态EEG(80电极)或MEG(275梯度仪)的差异,尤其是结合EEG / MEG(EMEG)源分析的好处。两项研究均通过同步立体脑电图(sEEG)(167触点)和低密度脑电图(ldEEG)(21电极)进行了验证。考虑到脑电图和脑电图的不同灵敏度分布,我们构建了具有各向异性白质电导率的六格有限元头部模型,并通过体感诱发反应对颅骨电导率进行了校准。我们的结果表明,与单模态EEG或MEG不同,组合式EMEG使用两种模态的互补信息,因此也可以在时间的早期(癫痫发作开始)(即具有低SNR的时间点)进行准确的源重构。但容易传播,因此应该更接近癫痫活动的起源。此外,EMEG能够与sEEG一致地在以后的时间点揭示传播途径,而单独的EEG或MEG只能重建其中的一部分。次平均可提供有关重心和致癫痫组织范围的重要且准确的信息,单个或全局平均的尖峰定位都无法提供。

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