Korff Christian M, Nordli Douglas R
Epilepsy Center, Box # 29, Children's Memorial Hospital, 2300 Children's Plaza, Chicago, IL 60614-3394, USA.
Epilepsy Res. 2006 Aug;70 Suppl 1:S116-31. doi: 10.1016/j.eplepsyres.2005.11.016. Epub 2006 Jun 30.
To describe the electro-clinical expression of seizures in infants (1-24 months).
We reviewed the video and EEG files of all infantile seizures recorded at Children's Memorial Hospital, Chicago, IL, from 2000 to 2005. Electrographic and clinical features were entered into separate databases. The electrographic component of the database analyzed the predominant location and pattern at onset, the evolution, the termination and the duration of each seizure. The clinical data sheet included 25 items. Each seizure was assigned to a specific category according to its most prominent clinical feature, according to the opinion of both observers.
Thirteen seizure types were identified. In a significant number of cases, the EEG correlate could not be predicted on the basis of clinical observations only. Generalized seizures were observed, on average, at a later age than focal seizures. Excluding spasms, the mean duration of seizures was short (36 s).
The results of this study are useful in describing the clinical and electrographic repertoire of infantile seizures. The findings show that video-EEG recordings in infants with frequent, recurrent seizures are useful by fully allowing complete recognition of subtle events, and in fully categorizing the true nature of the ictus. Video-EEG findings and accurate seizure classification may add fundamental information with regards to epilepsy syndrome diagnosis and specific treatment options, including surgery.
描述婴儿期(1至24个月)癫痫发作的电临床特征。
我们回顾了2000年至2005年期间在伊利诺伊州芝加哥市儿童纪念医院记录的所有婴儿癫痫发作的视频和脑电图文件。脑电图和临床特征分别录入不同的数据库。数据库的脑电图部分分析了每次癫痫发作开始时的主要部位和模式、演变过程、终止情况及持续时间。临床数据表包含25项内容。根据两位观察者的意见,每次癫痫发作根据其最突出的临床特征被归入特定类别。
共识别出13种癫痫发作类型。在相当多的病例中,仅根据临床观察无法预测脑电图相关表现。全身性癫痫发作的平均发病年龄晚于局灶性癫痫发作。排除痉挛发作,癫痫发作的平均持续时间较短(36秒)。
本研究结果有助于描述婴儿癫痫发作的临床和脑电图特征。研究结果表明,对于频繁发作的婴儿进行视频脑电图记录很有用,因为它能充分识别细微事件,并能完全对发作的真实性质进行分类。视频脑电图结果和准确的癫痫发作分类可能会为癫痫综合征诊断和包括手术在内的特定治疗方案提供重要信息。