Suppr超能文献

全身性癫痫样活动的特征

Characteristics of generalised epileptiform activity.

作者信息

Aurlien H, Gjerde I O, Eide G E, Brøgger J C, Gilhus N E

机构信息

Section of Clinical Neurophysiology, Department of Neurology, Haukeland University Hospital, Jonas Liesvei 65, N-5021 Bergen, Norway.

出版信息

Clin Neurophysiol. 2009 Jan;120(1):3-10. doi: 10.1016/j.clinph.2008.10.149. Epub 2008 Dec 5.

Abstract

OBJECTIVE

To study the age-related occurrence of specific features of generalised epileptiform activity (GEA), their correlation with EEG background activity (BA), and their internal correlation.

METHODS

17,723 consecutive routine EEGs from 12,511 patients were annotated and categorised into a database. The first EEG containing GEA from all 325 patients with such activity were selected and categorised for GEA features. The BA was studied in multivariable fractional polynomial regression models including intervening variables. The GEA features were studied in similar models for age-dependency and internal correlation.

RESULTS

High GEA-amplitude and low GEA-frequency correlated with BA slowing. The occurrence of 'irregular spike/sharp slow wave' pattern increased with age (p=0.003). Hyperventilation sensitivity was not age-related. There was no correlation between hyperventilation sensitivity and photoparoxysmal response. The age-related probability for specific GEA-types was established.

CONCLUSIONS

High GEA-amplitude and low GEA-frequency correlate with BA slowing, indicating cerebral cortical dysfunction. Hyperventilation sensitivity and photoparoxysmal response independently increase the yield of EEG. There is no age-dependency for hyperventilation sensitivity showing that an upper age threshold for hyperventilation provocation is inappropriate.

SIGNIFICANCE

The results extend our understanding of GEA and help the electroencephalographer in weighing the various GEA components.

摘要

目的

研究全身性癫痫样活动(GEA)特定特征的年龄相关性、它们与脑电图背景活动(BA)的相关性以及它们之间的内在相关性。

方法

对来自12511例患者的17723份连续常规脑电图进行注释并分类到一个数据库中。从所有325例有此类活动的患者中选取首次出现GEA的脑电图,并对GEA特征进行分类。在包含干预变量的多变量分数多项式回归模型中研究BA。在类似模型中研究GEA特征的年龄依赖性和内在相关性。

结果

高GEA振幅和低GEA频率与BA减慢相关。“不规则棘波/尖慢波”模式的发生率随年龄增加(p = 0.003)。过度换气敏感性与年龄无关。过度换气敏感性与光阵发性反应之间无相关性。确定了特定GEA类型的年龄相关概率。

结论

高GEA振幅和低GEA频率与BA减慢相关,表明大脑皮质功能障碍。过度换气敏感性和光阵发性反应独立增加脑电图的阳性率。过度换气敏感性不存在年龄依赖性,表明过度换气激发的年龄上限不合适。

意义

这些结果扩展了我们对GEA的理解,并有助于脑电图检查人员权衡各种GEA成分。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验