Comparison of Brain Networks During Interictal Oscillations and Spikes on Magnetoencephalography and Intracerebral EEG
Comparison of Brain Networks During Interictal Oscillations and Spikes on Magnetoencephalography and Intracerebral EEG
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DOI：
10.1007/s10548-016-0501-7
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发表时间：
2016-09-01
期刊：
影响因子：
2.7
通讯作者：
Benar, Christian-G.
中科院分区：
文献类型：
--
作者：
Jmail, Nawel;Gavaret, Martine;Benar, Christian-G.
脑电图（EEG）和脑磁图（MEG）中的电磁源定位可以找到瞬态癫痫样间歇放电（“间歇尖峰”）的产生者。在脑内脑电图（iEEG）中，振荡活动（高于30hz）也被证明是神经元功能障碍的标志。然而，参与瞬态活动和振荡活动的神经网络之间的区别在很大程度上仍然未知。因此，我们的目标是提取和比较与间歇振荡和尖峰有关的网络，并将非侵入性结果与直接在大脑中获得的结果进行比较。在5名同时有脑磁图和脑电图记录的患者中，我们计算了各区域的相关图，(1)间歇峰和(2)30hz左右的癫痫振荡。我们发现相应的网络可以涉及广泛的区域集（平均每个患者10个），只有部分重叠（MEG中占区域总数的38%，iEEG中占50%）。无创结果与脑内记录一致（79%为尖峰，50%为振荡）。我们将我们的间隔结果与脑电图的间隔数据进行比较。标记为癫痫发作区（SOZ）的区域在很大比例的病例中属于间隔网络：75% （p < 0.05）。58%为峰值，58%为峰值。33%)为脑电图振荡（p < 0.05）。梅格)。SOZ区域的一个子集被一种类型的放电检测到，而不是另一种（25%的峰值和8%的振荡）。我们的研究表明，尖峰和振荡活动涉及重叠但不同的网络，并且在术前绘图中是互补的。
Electromagnetic source localization in electroencephalography (EEG) and magnetoencephalography (MEG) allows finding the generators of transient interictal epileptiform discharges ('interictal spikes'). In intracerebral EEG (iEEG), oscillatory activity (above 30 Hz) has also been shown to be a marker of neuronal dysfunction. Still, the difference between networks involved in transient and oscillatory activities remains largely unknown. Our goal was thus to extract and compare the networks involved in interictal oscillations and spikes, and to compare the non-invasive results to those obtained directly within the brain. In five patients with both MEG and iEEG recordings, we computed correlation graphs across regions, for (1) interictal spikes and (2) epileptic oscillations around 30 Hz. We show that the corresponding networks can involve a widespread set of regions (average of 10 per patient), with only partial overlap (38 % of the total number of regions in MEG, 50 % in iEEG). The non-invasive results were concordant with intracerebral recordings (79 % for the spikes and 50 % for the oscillations). We compared our interictal results to iEEG ictal data. The regions labeled as seizure onset zone (SOZ) belonged to interictal networks in a large proportion of cases: 75 % (resp. 58 %) for spikes and 58 % (resp. 33 %) for oscillations in iEEG (resp. MEG). A subset of SOZ regions were detected by one type of discharges but not the other (25 % for spikes and 8 % for oscillations). Our study suggests that spike and oscillatory activities involve overlapping but distinct networks, and are complementary for presurgical mapping.