Suppr超能文献

颞叶癫痫患者睡眠状态及与深度棘波活动相关的癫痫病灶

Sleep state and seizure foci related to depth spike activity in patients with temporal lobe epilepsy.

作者信息

Lieb J P, Joseph J P, Engel J, Walker J, Crandall P H

出版信息

Electroencephalogr Clin Neurophysiol. 1980 Sep;49(5-6):538-57. doi: 10.1016/0013-4694(80)90396-x.

Abstract

Depth spike activity was evaluated from medial temporal lobe sites using computer spike recognition techniques in all-night sleep records derived from 10 patients with medically refractory complex partial seizures. Sleep stages were classified into 1 of 4 groups: wakefulness, REM sleep, light sleep and deep sleep. Some disturbance in the periodicity of the sleep cycle was noted in most patients, but the relative proportions of REM sleep, light sleep and deep sleep were close to that reported for normals. Depth spike activity was observed to be most frequent in a majority of sites during deep sleep in 6 patients and during light sleep in 3 patients. In 1 patient equal numbers of sites showed maximal activation during light sleep and deep sleep. In 4 patients, certain sites in the more epileptogenic lobe demonstrated a maximal rate during waking or REM sleep. All patients reported in this study were considered to be suitable for temporal lobectomy. In contrast to the results obtained from a previous study, the side with the site demonstrating maximal mean spike rate did not necessarily correspond to the side chosen for lobectomy. Significant correspondence across patients between the more epileptogenic lobe and maximal spike rate was not found during waking and was further reduced during light sleep and deep sleep. The correspondence was, however, significant during REM sleep and for the side containing the site demonstrating the smallest activation in mean spike rate during light sleep or deep sleep relative to waking. These results indicate that an analysis of sleep induced changes in depth spike activity can be useful in improving predictions concerning epileptogenicity. Quantification of other aspects of the interictal EEG, such as background activity, may further improve such predictions.

摘要

在10例药物难治性复杂部分性癫痫患者的全夜睡眠记录中,使用计算机尖峰识别技术从内侧颞叶部位评估深度尖峰活动。睡眠阶段分为4组中的1组:清醒、快速眼动睡眠、浅睡眠和深睡眠。大多数患者的睡眠周期周期性存在一些紊乱,但快速眼动睡眠、浅睡眠和深睡眠的相对比例与正常报道的接近。6例患者在深睡眠期间,3例患者在浅睡眠期间,大多数部位的深度尖峰活动最为频繁。1例患者在浅睡眠和深睡眠期间显示最大激活的部位数量相等。4例患者中,在癫痫发作更频繁的叶中的某些部位在清醒或快速眼动睡眠期间显示出最大发生率。本研究中报道的所有患者都被认为适合进行颞叶切除术。与先前研究的结果相反,显示最大平均尖峰率的部位所在的一侧不一定对应于选择进行叶切除术的一侧。在清醒期间,未发现癫痫发作更频繁的叶与最大尖峰率之间在患者之间有显著对应关系,在浅睡眠和深睡眠期间这种对应关系进一步降低。然而,在快速眼动睡眠期间以及相对于清醒时在浅睡眠或深睡眠期间显示平均尖峰率最小激活的部位所在的一侧,这种对应关系是显著的。这些结果表明,分析睡眠诱导的深度尖峰活动变化可能有助于改善关于癫痫源性的预测。对发作间期脑电图的其他方面进行量化,如背景活动,可能会进一步改善此类预测。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验