Department of Biomedical Engineering, University of Minnesota, Minneapolis, MN, USA.
Neuroimage. 2011 Jun 15;56(4):1908-17. doi: 10.1016/j.neuroimage.2011.03.043. Epub 2011 Mar 29.
Scalp electroencephalography (EEG) has been established as a major component of the pre-surgical evaluation for epilepsy surgery. However, its ability to localize seizure onset zones (SOZ) has been significantly restricted by its low spatial resolution and indirect correlation with underlying brain activities. Here we report a novel non-invasive dynamic seizure imaging (DSI) approach based upon high-density EEG recordings. This novel approach was particularly designed to image the dynamic changes of ictal rhythmic discharges that evolve through time, space and frequency. This method was evaluated in a group of 8 epilepsy patients and results were rigorously validated using intracranial EEG (iEEG) (n=3) and surgical outcome (n=7). The DSI localized the ictal activity in concordance with surgically resected zones and ictal iEEG recordings in the cohort of patients. The present promising results support the ability to precisely and accurately image dynamic seizure activity from non-invasive measurements. The successful establishment of such a non-invasive seizure imaging modality for surgical evaluation will have a significant impact in the management of medically intractable epilepsy.
头皮脑电图 (EEG) 已被确立为癫痫手术术前评估的主要组成部分。然而，由于其空间分辨率低且与大脑活动的间接相关性，其定位发作起始区 (SOZ) 的能力受到了很大限制。在这里，我们报告了一种基于高密度 EEG 记录的新型非侵入性动态发作成像 (DSI) 方法。这种新方法是专门设计用来对通过时间、空间和频率演变的发作性节律性放电的动态变化进行成像的。该方法在 8 例癫痫患者中进行了评估，并使用颅内 EEG (iEEG) (n=3) 和手术结果 (n=7) 进行了严格验证。DSI 与患者组中手术切除区域和发作性 iEEG 记录一致地定位了发作活动。目前有希望的结果支持从非侵入性测量中精确和准确地成像动态发作活动的能力。成功建立这种用于手术评估的非侵入性癫痫成像模式将对药物难治性癫痫的治疗产生重大影响。
