Merlet I, Gotman J
Montreal Neurological Institute, Department of Neurology and Neurosurgery, McGill University, 3801 University Street, Montreal, H3A 2B4, Quebec, Canada.
Clin Neurophysiol. 2001 Mar;112(3):414-30. doi: 10.1016/s1388-2457(01)00458-8.
In order to evaluate the feasibility of modeling seizures and the reliability of dipole models, we compared source localizations of scalp seizures with the distribution of simultaneous intracerebral electroencephalogram (SEEG).
In a first session, only scalp electroencephalogram (EEG) was recorded from 15 patients. We averaged the first detectable ictal activity in two consecutive segments of stable topography and morphology. Spatio-temporal dipole sources were estimated for each segment and projected on 3D-magnetic resonance images. In a second session, SEEG was recorded simultaneously with control scalp electrodes, allowing the identification of ictal patterns similar to those submitted to dipole modeling.
Ictal discharges could be analyzed in only 6 of 15 patients. In the remaining 9, scalp discharges were undetectable or non-reproducible in 6, and solutions were unstable despite an apparently stable discharge in 3. In the 6 patients successfully modeled, dipoles were found in regions where SEEG discharges were present. However, when intracerebral discharges were very focal, there was no corresponding scalp activity. When intracerebral signals were maximal in the mesial temporal regions at the seizure onset, only lateral neocortical dipoles were found. When discharges reached the frontal lobes, we could identify lateral and mesial frontal sources.
In most seizures, it was not possible to obtain satisfactory dipole models, probably a reflection of the high noise level or widespread generators. When modeling was possible, our results suggested that mesial temporal seizure discharges did not contribute to scalp EEG activity. This activity appears to reflect signals synchronized and distributed over the lateral temporal or frontal neocortex, as well as signals generated in mesial frontal areas.
为了评估癫痫发作建模的可行性和偶极子模型的可靠性,我们将头皮癫痫发作的源定位与同步脑内脑电图(SEEG)的分布进行了比较。
在第一阶段,仅记录了15例患者的头皮脑电图(EEG)。我们对两个连续的具有稳定地形和形态的节段中首次可检测到的发作期活动进行了平均。对每个节段估计时空偶极子源,并将其投影到三维磁共振图像上。在第二阶段,SEEG与对照头皮电极同时记录,从而能够识别与提交给偶极子建模的那些类似的发作模式。
15例患者中只有6例的发作期放电能够进行分析。在其余9例中,6例的头皮放电无法检测到或不可重现,3例尽管放电明显稳定但解不稳定。在成功建模的6例患者中,在存在SEEG放电的区域发现了偶极子。然而,当脑内放电非常局限时,没有相应的头皮活动。当癫痫发作开始时脑内信号在颞叶内侧区域最大时,仅发现外侧新皮质偶极子。当放电到达额叶时,我们能够识别外侧和内侧额叶源。
在大多数癫痫发作中,无法获得令人满意的偶极子模型,这可能反映了高噪声水平或广泛的发生器。当建模可行时,我们的结果表明颞叶内侧癫痫发作放电对头皮EEG活动没有贡献。这种活动似乎反映了在外侧颞叶或额叶新皮质同步和分布的信号,以及在内侧额叶区域产生的信号。