Magnetoencephalography with temporal spread imaging to visualize propagation of epileptic activity

Magnetoencephalography with temporal spread imaging to visualize propagation of epileptic activity
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脑磁图与时间扩散成像可视化癫痫活动的传播

DOI:
10.1016/j.clinph.2017.01.010
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发表时间:
2017
期刊:
影响因子:
4.7
通讯作者:
Miyamoto S
Miyamoto S
中科院分区:
医学3区
文献类型:
--
作者:
Shibata S;Matsuhashi M;Kunieda T;Yamao Y;Rika Inano R;Kikuchi T;Imamura H;Takaya S;Matsumoto R;Ikeda A;Takahashi R;Mima T;Fukuyama H;Mikuni N;Miyamoto S

文献摘要

相似文献

我们描述了时间扩散成像(TSI),可以识别癫痫活动的时空模式,使用脑磁图(MEG)。阵列增益最小方差空间滤波器应用于发作间期尖峰以估计源的幅度和幅度在每个体素处超过预定义阈值时的时间(Ta)。此计算在所有尖峰期间执行。每个体素具有平均值Ta()和尖峰数量(Nsp),尖峰数量是源超过阈值的尖峰的数量。然后,使用随机回归方法来确定统计学上可重复的活性模式的Nsp的截止值。最后,所有的体素源超过阈值再现显示在MRI上的色标representing.Results4例顽固性内侧颞叶癫痫(MTLE)进行了分析。在三名患者中,共同的模式之间的重叠的传播和低代谢的氟脱氧葡萄糖-正电子发射断层扫描(FDG-PET)被identified.ConclusionsTSI可以可视化的时间和空间的蔓延癫痫activity.SignificanceTSI可以评估其再现性的时空模式的基础上的统计学意义。
ObjectiveWe describe temporal spread imaging (TSI) that can identify the spatiotemporal pattern of epileptic activity using Magnetoencephalography (MEG).MethodsA three-dimensional grid of voxels covering the brain is created. The array-gain minimum-variance spatial filter is applied to an interictal spike to estimate the magnitude of the source and the time (Ta) when the magnitude exceeds a predefined threshold at each voxel. This calculation is performed through all spikes. Each voxel has the mean Ta () and spike number (Nsp), which is the number of spikes whose source exceeds the threshold. Then, a random resampling method is used to determine the cutoff value of Nspfor the statistically reproducible pattern of the activity. Finally, all the voxels where the source exceeds the threshold reproducibly shown on the MRI with a color scale representing .ResultsFour patients with intractable mesial temporal lobe epilepsy (MTLE) were analyzed. In three patients, the common pattern of the overlap between the propagation and the hypometabolism shown by fluorodeoxyglucose-positron emission tomography (FDG-PET) was identified.ConclusionsTSI can visualize statistically reproducible patterns of the temporal and spatial spread of epileptic activity.SignificanceTSI can assess the statistical significance of the spatiotemporal pattern based on its reproducibility.