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用于同时记录多只小动物的长期连续视频脑电图监测单元的设计与构建。

Design and construction of a long-term continuous video-EEG monitoring unit for simultaneous recording of multiple small animals.

作者信息

Bertram E H, Williamson J M, Cornett J F, Spradlin S, Chen Z F

机构信息

Department of Neurology, University of Virginia Health Sciences Center, Charlottesville 22908, USA.

出版信息

Brain Res Brain Res Protoc. 1997 Dec 1;2(1):85-97. doi: 10.1016/s1385-299x(97)00033-0.

Abstract

In recent years several new rat models of human limbic/mesial temporal lobe epilepsy have been described [1,2,4-7,11,15-17]. Unlike earlier models such as kindling in which the seizures are induced by an exogenous stimulus, these new models are characterized by seizures that occur spontaneously at random intervals. Although the spontaneity of the seizures makes these models more like human epilepsy, documentation of these seizures by direct observation is highly inefficient, and sub-behavioral electrographic seizures could be missed. Continuous paper EEG and video recording have been used [5-7,15], but these techniques are resource intensive. The slow paper speed required by long-term paper recordings limits the ability to differentiate between true seizure activity and electrical artifact. Subtle behavioral seizures are likely to be missed during rapid review of video recordings alone [16]. Ambulatory cassette EEG recordings have been used [3], but the systems require expensive proprietary hardware, and the systems have limited channels for recording (8-16). To improve the utility of the models, we developed a long-term EEG/video monitoring system to detect the electrographic seizures and document their behavioral accompaniment. The system is based on commercially available components, including a computerized EEG seizure detection system that was initially developed for human seizure monitoring [8,9,13]. Seizures are reliably detected and the data are reduced so that 24 h of recording can be reviewed in 30-90 min. Although the computer program is accurate, special care must be taken in system design and construction to reduce sources of electrical artifact that can cause false detections when multiple animals are recorded simultaneously on a single EEG machine. During data review it is necessary to differentiate between electrical artifact induced by animal activity from true seizure activity by key EEG patterns. Certain seizure patterns (less than 3 hz. low amplitude) will not be detected by the seizure detection program, but the system is highly effective for typical limbic seizures and may be useful for the animal models of absence epilepsy [12,14]. It can also be used as a continuous or intermittent EEG/physiological recording device for experiments that examine animals' spontaneous behavior and the EEG correlate (e.g. sleep/wake cycles, learning and memory tasks).

摘要

近年来,已经描述了几种新的人类边缘叶/内侧颞叶癫痫大鼠模型[1,2,4 - 7,11,15 - 17]。与早期模型如点燃模型(其中癫痫发作由外源性刺激诱发)不同,这些新模型的特点是癫痫发作以随机间隔自发出现。尽管癫痫发作的自发性使这些模型更类似于人类癫痫,但通过直接观察记录这些发作效率极低,并且可能会遗漏亚行为性脑电图癫痫发作。已经使用了连续的纸质脑电图和视频记录[5 - 7,15],但这些技术资源消耗大。长期纸质记录所需的慢纸速限制了区分真正癫痫活动和电伪迹的能力。仅在快速查看视频记录时,细微的行为性癫痫发作很可能被遗漏[16]。已经使用了动态盒式脑电图记录[3],但该系统需要昂贵的专有硬件,并且记录通道有限(8 - 16个)。为了提高模型的实用性,我们开发了一种长期脑电图/视频监测系统,以检测脑电图癫痫发作并记录其行为伴随情况。该系统基于市售组件,包括最初为人类癫痫监测开发的计算机化脑电图癫痫检测系统[8,9,13]。癫痫发作能够被可靠检测,并且数据被精简,以便能在30 - 90分钟内查看24小时的记录。尽管计算机程序很准确,但在系统设计和构建时必须特别小心,以减少当在一台脑电图机器上同时记录多只动物时可能导致误检测的电伪迹来源。在数据审查期间,有必要通过关键脑电图模式区分动物活动引起的电伪迹和真正的癫痫活动。某些癫痫发作模式(低于3赫兹,低振幅)癫痫检测程序将无法检测到,但该系统对典型的边缘叶癫痫发作非常有效,并且可能对失神癫痫的动物模型有用[12,14]。它还可以用作连续或间歇性的脑电图/生理记录设备,用于检查动物自发行为及其脑电图相关性的实验(例如睡眠/觉醒周期、学习和记忆任务)。

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