Assessing REM Sleep in Mice Using Video Data | Zendy

Blakeley B. McShane | Zendy; Raymond J. Galante | Zendy; Michael P. Biber | Zendy; Shane T. Jensen | Zendy; Abraham J. Wyner | Zendy; Allan I Pack | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Assessing REM Sleep in Mice Using Video Data

Author(s) -

Blakeley B. McShane,

Raymond J. Galante,

Michael P. Biber,

Shane T. Jensen,

Abraham J. Wyner,

Allan I Pack

Publication year - 2012

Publication title -

sleep

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 2.222

H-Index - 207

eISSN - 1550-9109

pISSN - 0161-8105

DOI - 10.5665/sleep.1712

Subject(s) - non rapid eye movement sleep , wakefulness , epoch (astronomy) , eye movement , electroencephalography , sleep stages , vigilance (psychology) , psychology , audiology , slow wave sleep , sleep (system call) , computer science , statistics , polysomnography , neuroscience , mathematics , medicine , computer vision , stars , operating system

Assessment of sleep and its substages in mice currently requires implantation of chronic electrodes for measurement of electroencephalogram (EEG) and electromyogram (EMG). This is not ideal for high-throughput screening. To address this deficiency, we present a novel method based on digital video analysis. This methodology extends previous approaches that estimate sleep and wakefulness without EEG/EMG in order to now discriminate rapid eye movement (REM) from non-REM (NREM) sleep.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research