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通过微机分析量化大鼠睡眠的长期稳定性。

Long term stability of rat sleep quantified by microcomputer analysis.

作者信息

Vivaldi E A, Pastel R H, Fernstrom J D, Hobson J A

出版信息

Electroencephalogr Clin Neurophysiol. 1984 Sep;58(3):253-65. doi: 10.1016/0013-4694(84)90111-1.

DOI:10.1016/0013-4694(84)90111-1
PMID:6205857
Abstract

An inexpensive microcomputer system is described for the direct recording of electrographic data from animals. Using this system, electrographic data can be recorded continuously on a polygraph and simultaneously quantitated by the computer, for days or weeks. Our system quantifies the amounts of delta waves, spindle bursts, hippocampal RSA activity and movement spikes for 15 sec epochs. These electrographic data are stored by the computer and subsequently can be used to score sleep stages. We find that the computer reliably counts waves; using these data, it can then score sleep stages off-line with about 90% accuracy. With this system, we find that the minutes/hour of both SWS and REM are remarkably stable from day to day. The absolute number of delta waves, spindle bursts, trains of RSA and movement counts/hour also remain stable from day to day. This type of system should find significant application in situations where quantitation of longterm effects of drugs, diets and other environmental inputs on sleep states or EEG wave bands are of interest.

摘要

本文描述了一种用于直接记录动物脑电图数据的廉价微型计算机系统。使用该系统,脑电图数据可连续记录在多道记录仪上,并同时由计算机进行量化,记录时间可达数天或数周。我们的系统对15秒时段内的δ波、纺锤波爆发、海马RSA活动和运动尖峰的数量进行量化。这些脑电图数据由计算机存储,随后可用于睡眠阶段评分。我们发现计算机能够可靠地计数波形;利用这些数据,它随后可以离线对睡眠阶段进行评分,准确率约为90%。使用该系统,我们发现慢波睡眠(SWS)和快速眼动睡眠(REM)每小时的分钟数每天都非常稳定。每小时的δ波、纺锤波爆发、RSA序列和运动计数的绝对数量每天也保持稳定。这种类型的系统在研究药物、饮食和其他环境因素对睡眠状态或脑电图波段的长期影响进行定量分析的情况下应会有重要应用。

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