Interictal Networks in Magnetoencephalography
Interictal Networks in Magnetoencephalography
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DOI：
10.1002/hbm.22367
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发表时间：
2014-06-01
影响因子：
4.8
通讯作者：
Benar, Christian-George
中科院分区：
文献类型：
--
作者：
Malinowska, Urszula;Badier, Jean-Michel;Benar, Christian-George
癫痫网络涉及几个大脑区域之间的复杂关系。这种网络已经在脑内脑电图（立体定位脑电图，SEEG）上显示出来，这是一种侵入性技术。脑磁图（MEG）是一种非侵入性的工具，最近被证明是有效的定位癫痫样放电的发生器。然而，尽管非侵入性网络方面的特点在部分癫痫的重要性，只有少数研究试图检索精细的时空动态发作间期放电与脑磁图。我们的目标是评估脑磁图的相关性，检测和表征癫痫发作间期癫痫放电涉及的大脑网络。我们在这里提出了一个半自动的方法，基于独立分量分析（伊卡）和跨组件的事件共现。通过将其结果与SEEG中确定的网络进行比较，在一系列7例患者中对该方法进行了评估。在MEG和SEEG上，我们发现发作间期放电可以涉及同步作用的远程区域。在SEEG中确定的区域（总共38个）比在MEG中确定的区域（20个）多。当电极存在于附近时，通过SEEG确认所有MEG区域。在所有患者中，根据我们的标准，至少有一个区域可以被确定为领先。大多数（71%）MEG领导人由SEEG确认。因此，我们已经表明，MEG测量可以提取SEEG中可见的网络的显着比例。这表明，MEG可以是一个有用的工具，用于定义非侵入性发作间期癫痫网络，在区域和模式的连接，在寻找一个主要的刺激区。《脑地图》35：2789-2805，2014年。(c)2013 Wiley Periodicals，Inc.
Epileptic networks involve complex relationships across several brain areas. Such networks have been shown on intracerebral EEG (stereotaxic EEG, SEEG), an invasive technique. Magnetoencephalography (MEG) is a noninvasive tool, which was recently proven to be efficient for localizing the generators of epileptiform discharges. However, despite the importance of characterizing non-invasively network aspects in partial epilepsies, only few studies have attempted to retrieve fine spatiotemporal dynamics of interictal discharges with MEG. Our goal was to assess the relevance of magnetoencephalography for detecting and characterizing the brain networks involved in interictal epileptic discharges. We propose here a semi-automatic method based on independent component analysis (ICA) and on co-occurrence of events across components. The method was evaluated in a series of seven patients by comparing its results with networks identified in SEEG. On both MEG and SEEG, we found that interictal discharges can involve remote regions which are acting in synchrony. More regions were identified in SEEG (38 in total) than in MEG (20). All MEG regions were confirmed by SEEG when an electrode was present in the vicinity. In all patients, at least one region could be identified as leading according to our criteria. A majority (71%) of MEG leaders were confirmed by SEEG. We have therefore shown that MEG measurements can extract a significant proportion of the networks visible in SEEG. This suggests that MEG can be a useful tool for defining noninvasively interictal epileptic networks, in terms of regions and patterns of connectivity, in search for a primary irritative zone. Hum Brain Mapp 35:2789-2805, 2014. (c) 2013 Wiley Periodicals, Inc.