Neurology Department, Faculty of Medicine, University of Medicine and Pharmacy, Iasi, Romania.
Elytis Hospital Hope, Iasi, Romania.
Neurol Neurochir Pol. 2023;57(6):477-483. doi: 10.5603/pjnns.97039. Epub 2023 Nov 13.
Many recent studies have suggested that generalised epilepsy is associated with cortical epileptogenic focus, and therefore distinguishing between focal and generalised often becomes difficult.
We aimed to detect differences between default mode function in patients with idiopathic generalised epilepsy who have discharges on EEG, and healthy persons.
This was a case-control study; we performed EEG analysis with LORETA in 17 patients with a type of generalised epilepsy and a control group represented by 17 healthy age-matched persons. We performed statistical non- -parametric tests for current density electrical distribution for our two groups ('t-statistic on Log transformed data') and we defined regions of interest (ROIs) from the default mode network. In the second part, we compared the average activation for each ROI for each timeframe in the epoch for the group with epilepsy, and for controls (we performed a Wilcoxon rank-sum test for two means).
In the first part, we obtained that in the medial frontal gyrus (BA 9) delta oscillations significantly differed in patients with epilepsy who had electrical discharges on EEG in resting state conditions compared to healthy controls (medial frontal gyrus in this group had a greater number of synchronously oscillating neurons than did the controls). In the second part, we ran statistics on our localised activity from the default mode network (defined ROIs) and we obtained statistically significant differences in the left medial frontal gyrus (the values were higher for the group with epilepsy, p-value = 0.0066).
It may be possible to move from a 'generalised theory' about epilepsy to a 'focused theory' by understanding how various areas of interest are activated within default mode networks. Insights into the pathophysiology of generalised epilepsy may lead to new treatment options.
许多最近的研究表明,全身性癫痫与皮质癫痫灶有关,因此区分局灶性和全身性癫痫往往变得困难。
我们旨在检测脑电图有放电的特发性全身性癫痫患者与健康人之间默认模式功能的差异。
这是一项病例对照研究;我们对 17 例全身性癫痫患者和 17 例年龄匹配的健康对照组进行了脑电图分析,采用 LORETA 方法。我们对两组的电流密度电分布进行了非参数统计检验(对数转换后的数据 t 统计量),并定义了默认模式网络的感兴趣区域(ROI)。在第二部分,我们比较了癫痫组和对照组在每个时间窗口的每个 ROI 的平均激活值(我们对两个平均值进行了 Wilcoxon 秩和检验)。
在第一部分,我们发现,在静息状态下,脑电图有放电的癫痫患者的内侧额回(BA9)的 delta 振荡与健康对照组有显著差异(与对照组相比,该组的同步振荡神经元数量更多)。在第二部分,我们对默认模式网络(定义的 ROI)的局部活动进行了统计学分析,我们在左侧内侧额回(癫痫组的数值更高,p 值=0.0066)中得到了统计学上的显著差异。
通过了解默认模式网络中各个感兴趣区域的激活方式,可能从癫痫的“广义理论”转向“聚焦理论”。对全身性癫痫的病理生理学的深入了解可能会带来新的治疗选择。