Asano Eishi, Muzik Otto, Shah Aashit, Juhász Csaba, Chugani Diane C, Kagawa Kenji, Benedek Krisztina, Sood Sandeep, Gotman Jean, Chugani Harry T
Department of Pediatrics, Children's Hospital of Michigan, Wayne State University, Detroit, MI 48201, USA.
Clin Neurophysiol. 2004 Dec;115(12):2718-27. doi: 10.1016/j.clinph.2004.06.020.
To quantify the ictal subdural electroencephalogram (EEG) changes using spectral analysis, and to delineate the quantitatively defined ictal onset zones on high-resolution 3D MR images in children with intractable neocortical epilepsy.
Fourteen children with intractable neocortical epilepsy (age: 1-16 years) who had subsequent resective surgery were retrospectively studied. The subjects underwent a high-resolution MRI and prolonged subdural EEG recording. Spectral analysis was applied to 3 habitual focal seizures. After fast Fourier transformation of the EEG epoch at ictal onset, an amplitude spectral curve (square root of the power spectral curve) was created for each electrode. The EEG magnitude of ictal rhythmic discharges was defined as the area under the amplitude spectral curve within a preset frequency band including the ictal discharge frequency, and calculated for each electrode. The topography mapping of ictal EEG magnitude was subsequently displayed on a surface-rendered MRI. Finally, receiver operating characteristic (ROC) analysis was performed to evaluate the consistency between quantitatively and visually defined ictal onset zones.
The electrode showing the maximum of the averaged ictal EEG magnitude was part of the visually defined ictal onset zone in all cases. ROC analyses demonstrated that electrodes showing >30% of the maximum of the averaged ictal EEG magnitude had a specificity of 0.90 and a sensitivity of 0.74 for the concordance with visually defined ictal onset zones.
Quantitative ictal subdural EEG analysis using spectral analysis may supplement conventional visual inspection in children with neocortical epilepsy by providing an objective definition of the onset zone and its simple visualization on the patient's MRI.
采用频谱分析量化发作期硬膜下脑电图(EEG)变化,并在高分辨率三维磁共振成像(MRI)上描绘难治性新皮质癫痫患儿发作期的定量定义起始区。
对14例难治性新皮质癫痫患儿(年龄1至16岁)进行回顾性研究,这些患儿随后接受了切除性手术。研究对象接受了高分辨率MRI检查和硬膜下EEG长时间记录。对3次习惯性局灶性发作进行频谱分析。在发作起始时对EEG片段进行快速傅里叶变换后,为每个电极创建一条幅度频谱曲线(功率谱曲线的平方根)。将发作期节律性放电的EEG幅值定义为包括发作期放电频率在内的预设频段内幅度频谱曲线下的面积,并为每个电极计算该面积。随后将发作期EEG幅值的地形图显示在表面渲染的MRI上。最后,进行受试者操作特征(ROC)分析,以评估定量和视觉定义的发作起始区之间的一致性。
在所有病例中,显示平均发作期EEG幅值最大值的电极是视觉定义的发作起始区的一部分。ROC分析表明,显示平均发作期EEG幅值最大值>30%的电极与视觉定义的发作起始区一致性的特异性为0.90,敏感性为0.74。
采用频谱分析进行定量发作期硬膜下EEG分析,可为新皮质癫痫患儿补充传统的视觉检查,通过提供发作起始区的客观定义及其在患者MRI上的简单可视化。