Literature DB >> 14757358

Activity patterns as a correlate for sleep-wake behaviour in mice.

Corinna Storch1, Arnold Höhne, Florian Holsboer, Frauke Ohl.   

Abstract

Sleep-wake behaviour in mice is known to interact with various behavioural dimensions. Therefore, it is necessary to control for such dimensions when evaluating sleep in mice. The characterisation of sleep in rodents usually is based on EEG signals. Since this method demands the invasive implantation of electrodes, it cannot be integrated into general behavioural phenotyping procedures. Thus, non- or minimum-invasive methods are needed for the analysis of sleep-wake behaviour. Although physiological parameters, like for instance general locomotor activity, allow for the assessment of sleep-wake behaviour in mice, existing methods lack reliability especially in measuring stationary and three-dimensional activities. In this study, a small magnet was implanted subcutaneously near the neck muscles of mice and each movement of the magnet was registered via a sensor plate. For validation of the described method, the effects of sleep deprivation were evaluated by both the magnet and the EEG in parallel. Our results show that the data obtained via the subcutaneously implanted magnet represent a reliable and sensitive measurement of quantitative aspects of sleep-wake behaviour: spatial variation as well as stationary activities could be dissociated from sleep. Qualitative sleep characteristics were not detected. In summary, this minimum invasive method allows for the detection of quantitative alterations in sleep-wake behaviour in mice, thus, offering a useful, rapid pre-screen in animal sleep research.

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Year:  2004        PMID: 14757358     DOI: 10.1016/j.jneumeth.2003.10.008

Source DB:  PubMed          Journal:  J Neurosci Methods        ISSN: 0165-0270            Impact factor:   2.390


  8 in total

1.  Rapid assessment of sleep-wake behavior in mice.

Authors:  Simon P Fisher; Sofia I H Godinho; Carina A Pothecary; Mark W Hankins; Russell G Foster; Stuart N Peirson
Journal:  J Biol Rhythms       Date:  2012-02       Impact factor: 3.182

2.  Circadian distribution of motor-activity in unilaterally 6-hydroxy-dopamine lesioned rats.

Authors:  Paul Christian Baier; Pablo Branisa; Reinhard Koch; Jan Schindehütte; Walter Paulus; Claudia Trenkwalder
Journal:  Exp Brain Res       Date:  2006-01-24       Impact factor: 1.972

3.  Optimization of Analysis of Circadian Rest-Activity Rhythm Using Cosinor Analysis in Mice.

Authors:  Jung Hyun Lee; Eunsoo Moon; Jeonghyun Park; Chi Eun Oh; Yoo Rha Hong; Min Yoon
Journal:  Psychiatry Investig       Date:  2022-05-23       Impact factor: 3.202

Review 4.  Animal models of sleep disorders.

Authors:  Linda A Toth; Pavan Bhargava
Journal:  Comp Med       Date:  2013-04       Impact factor: 0.982

5.  Evaluation of a piezoelectric system as an alternative to electroencephalogram/ electromyogram recordings in mouse sleep studies.

Authors:  Géraldine M Mang; Jérôme Nicod; Yann Emmenegger; Kevin D Donohue; Bruce F O'Hara; Paul Franken
Journal:  Sleep       Date:  2014-08-01       Impact factor: 5.849

6.  Prediction of Locomotor Activity by Infrared Motion Detector on Sleep-wake State in Mice.

Authors:  Jeonghyun Park; Min Soo Jung; Eunsoo Moon; Hyun Ju Lim; Chi Eun Oh; Jung Hyun Lee
Journal:  Clin Psychopharmacol Neurosci       Date:  2021-05-31       Impact factor: 2.582

7.  The cyclic interaction between daytime behavior and the sleep behavior of laboratory dogs.

Authors:  Ivana Gabriela Schork; Isabele Aparecida Manzo; Marcos Roberto Beiral De Oliveira; Fernanda Vieira da Costa; Robert John Young; Cristiano Schetini de Azevedo
Journal:  Sci Rep       Date:  2022-01-10       Impact factor: 4.379

8.  Continuous exposure to a novel stressor based on water aversion induces abnormal circadian locomotor rhythms and sleep-wake cycles in mice.

Authors:  Koyomi Miyazaki; Nanako Itoh; Sumika Ohyama; Koji Kadota; Katsutaka Oishi
Journal:  PLoS One       Date:  2013-01-30       Impact factor: 3.240

  8 in total

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