Quantitative interictal subdural EEG analyses in children with neocortical epilepsy
Quantitative interictal subdural EEG analyses in children with neocortical epilepsy
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DOI：
10.1046/j.1528-1157.2003.38902.x
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发表时间：
2003-03-01
期刊：
影响因子：
5.6
通讯作者：
Chugani, HT
中科院分区：
文献类型：
--
作者：
Asano, E;Muzik, O;Chugani, HT
目的：我们研究了定量发作间期硬膜下脑电图数据和视觉定义的发作硬膜下脑电图结果在儿童顽固性新皮质癫痫之间的关系，并确定是否发作间期脑电图数据预测发作脑电图onset zones.Methods：13名儿童（年龄1.2-15.4岁）进行了长期的颅内脑电图记录，使用48- 120通道硬膜下电极。三个不同的10分钟的连续发作间期脑电图记录的片段被选择为每个患者，并通过使用自动尖峰检测程序确定每个通道的尖峰频率。随后，将每个电极的平均尖峰频率与发作评估（发作、扩散和无早期发作累及）进行比较。此外，50个不同的发作间期尖峰平均为每个病人，和振幅和潜伏期后，领先的尖峰（平均尖峰显示最早的峰值）进行了测量，为每个电极和分析相对于发作EEG findings.Results：再现的尖峰频率模式来自三个10-inin段是高的（肯德尔的W，0.85 +/- 0.08）。显示最高峰频率、最高峰幅度和前导峰的电极分别被发现是13/13、12/13和10/13例癫痫发作的一部分。发作评估与峰电位频率和峰电位幅度之间存在显著相关性。接收器操作特性分析表明，在14%的最大尖峰频率的截止阈值导致在0.90的特异性和0.77的灵敏度检测的癫痫发作electrodeles.Conclusions：定量发作间期硬膜下脑电图可以预测癫痫发作区的儿童顽固性新皮层癫痫。
Purpose: We studied the relation between quantitative interictal subdural EEG data and visually defined ictal subdural EEG findings in children with intractable neocortical epilepsy, and determined whether interictal EEG data are predictive of ictal EEG onset zones.Methods: Thirteen children (aged 1.2-15.4 years) underwent prolonged intracranial EEG recording, using 48- to 120-channel subdural electrodes. Three distinct 10-min segments of the continuous interictal EEG recording were selected for each patient, and the spike frequency for each channel was determined by using an automatic spike-detection program. Subsequently the average spike frequency of each electrode was compared with ictal assessment (onset, spread, and no early ictal involvement). In addition, 50 distinct interictal spikes were averaged for each patient, and the amplitude and latency after the leading spike (averaged spike showing the earliest peak) were measured for each electrode and analyzed with respect to ictal EEG findings.Results: Reproducibility of the spike-frequency pattern derived from three 10-inin segments was high (Kendall's W, 0.85 +/- 0.08). Electrodes showing the highest spike frequency, the highest spike amplitude, and the leading spike were found to be a part of the seizure onset in 13 of 13, 12 of 13, and 10 of 13 cases, respectively. There was significant correlation between ictal assessment and spike frequency as well as spike amplitude. A receiver operating characteristics analysis showed that a cutoff threshold at 14% of the maximal spike frequency resulted in a specificity of 0.90 and a sensitivity of 0.77 for the detection of seizure-onset electrodes.Conclusions: Quantitative interictal subdural EEG may predict ictal-onset zones in children with intractable neocortical epilepsy.