Literature DB >> 2472953

A large scale, high resolution, automated system for rat sleep staging. II. Validation and application.

G S Ruigt1, J N Van Proosdij, L A Van Wezenbeek.   

Abstract

An automated rat sleep staging system was used to describe sleep-waking behaviour in a large number of rats. The computer scorings were validated by visual analysis of a limited set of data by two human raters and the agreement varied between 82 and 100% for homogeneous segments of the different sleep-waking stages. The automated system proved to be very consistent in view of the small variation in placebo values over 110 experiments. The data show that classification of rat sleep waking behaviour into 6 different stages is both advisable and feasible. The experiments further show that rat age (over a range from 0.5 to 2 years) does not greatly affect rat sleep-waking behaviour.

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Year:  1989        PMID: 2472953     DOI: 10.1016/0013-4694(89)90020-5

Source DB:  PubMed          Journal:  Electroencephalogr Clin Neurophysiol        ISSN: 0013-4694


  4 in total

1.  Effect of the antidepressant Org 3770 on human sleep.

Authors:  G S Ruigt; B Kemp; C M Groenhout; H A Kamphuisen
Journal:  Eur J Clin Pharmacol       Date:  1990       Impact factor: 2.953

2.  Stress-free automatic sleep deprivation using air puffs.

Authors:  Brooks A Gross; William M Vanderheyden; Lea M Urpa; Devon E Davis; Christopher J Fitzpatrick; Kaustubh Prabhu; Gina R Poe
Journal:  J Neurosci Methods       Date:  2015-05-23       Impact factor: 2.390

3.  Open-source logic-based automated sleep scoring software using electrophysiological recordings in rats.

Authors:  Brooks A Gross; Christine M Walsh; Apurva A Turakhia; Victoria Booth; George A Mashour; Gina R Poe
Journal:  J Neurosci Methods       Date:  2009-07-15       Impact factor: 2.390

4.  Development of a rule-based automatic five-sleep-stage scoring method for rats.

Authors:  Ting-Ying Wei; Chung-Ping Young; Yu-Ting Liu; Jia-Hao Xu; Sheng-Fu Liang; Fu-Zen Shaw; Chin-En Kuo
Journal:  Biomed Eng Online       Date:  2019-09-04       Impact factor: 2.819

  4 in total

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