Electroencephalography source localization analysis in epileptic children during a visual working‐memory task,International Journal for Numerical Methods in Biomedical Engineering

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Electroencephalography source localization analysis in epileptic children during a visual working‐memory task
International Journal for Numerical Methods in Biomedical Engineering ( IF 2.2 ) Pub Date : 2020-10-08 , DOI: 10.1002/cnm.3404
Evangelos Galaris ₁ , Ioannis Gallos ₂ , Ivan Myatchin ₃ , Lieven Lagae ₄ , Constantinos Siettos ₁

Affiliation

We localize the sources of brain activity of children with epilepsy based on electroencephalograph (EEG) recordings acquired during a visual discrimination working memory task. For the numerical solution of the inverse problem, with the aid of age‐specific MRI scans processed from a publicly available database, we use and compare three regularization numerical methods, namely the standardized low resolution brain electromagnetic tomography (sLORETA), the weighted minimum norm estimation (wMNE) and the dynamic statistical parametric mapping (dSPM). We show that all three methods provide the same spatio‐temporal patterns of differences between the groups of epileptic and control children. In particular, our analysis reveals statistically significant differences between the two groups in regions of the parietal cortex indicating that these may serve as “biomarkers” for diagnostic purposes and ultimately localized treatment.

中文翻译：

癫痫儿童视觉工作记忆任务中的脑电图源定位分析

我们根据在视觉辨别工作记忆任务中获得的脑电图 (EEG) 记录来定位癫痫儿童的大脑活动来源。对于逆问题的数值解，借助从公开可用数据库处理的特定年龄 MRI 扫描，我们使用并比较了三种正则化数值方法，即标准化低分辨率脑电磁断层扫描 (sLORETA)、加权最小范数估计（wMNE）和动态统计参数映射（dSPM）。我们表明，所有三种方法都提供了癫痫儿童组和对照组儿童之间相同的时空差异模式。特别是，

更新日期：2020-12-10

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