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Noninvasive electromagnetic source imaging of spatiotemporally distributed epileptogenic brain sources

机译:不良电磁源成像现代分布的癫痫脑源

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Brain networks are spatiotemporal phenomena that dynamically vary over time. Functional imaging approaches strive to noninvasively estimate these underlying processes. Here, we propose a novel source imaging approach that uses high-density EEG recordings to map brain networks. This approach objectively addresses the long-standing limitations of conventional source imaging techniques, namely, difficulty in objectively estimating the spatial extent, as well as the temporal evolution of underlying brain sources. We validate our approach by directly comparing source imaging results with the intracranial EEG (iEEG) findings and surgical resection outcomes in a cohort of 36 patients with focal epilepsy. To this end, we analyzed a total of 1,027 spikes and 86 seizures. We demonstrate the capability of our approach in imaging both the location and spatial extent of brain networks from noninvasive electrophysiological measurements, specifically for ictal and interictal brain networks. Our approach is a powerful tool for noninvasively investigating large-scale dynamic brain networks.
机译:大脑网络的时空现象动态随时间而变化。功能成像方法力争非侵入性地估计这些基本过程。在这里,我们提出了一种源成像方法,使用高密度的脑电图记录到大脑网络映射。该方法客观地解决了常规源的成像技术的长期的限制,即,难以客观地估计空间范围,以及脑来源潜在的时间演变。我们通过对36例局灶性癫痫队列与颅内脑电图(即例如)的调查结果和手术切除结果直接比较源成像结果验证了我们的做法。为此,我们一共有1027个尖峰和86个癫痫发作分析。我们证明了我们在这两个成像的位置,并从非侵入性的电生理学测量大脑网络的空间范围的方法的能力,专门为发作和发作的脑网络。我们的做法是用于非侵入性研究的大规模动态大脑网络的有力工具。

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