Assessment of a non-invasive high-throughput classifier for behaviours associated with sleep and wake in mice.

Biomedical Engineering Online
Kevin D DonohueBruce F O'Hara

Abstract

This work presents a non-invasive high-throughput system for automatically detecting characteristic behaviours in mice over extended periods of time, useful for phenotyping experiments. The system classifies time intervals on the order of 2 to 4 seconds as corresponding to motions consistent with either active wake or inactivity associated with sleep. A single Polyvinylidine Difluoride (PVDF) sensor on the cage floor generates signals from motion resulting in pressure. This paper develops a linear classifier based on robust features extracted from normalized power spectra and autocorrelation functions, as well as novel features from the collapsed average (autocorrelation of complex spectrum), which characterize transient and periodic properties of the signal envelope. Performance is analyzed through an experiment comparing results from direct human observation and classification of the different behaviours with an automatic classifier used in conjunction with this system. Experimental results from over 28.5 hours of data from 4 mice indicate a 94% classification rate relative to the human observations. Examples of sequential classifications (2 second increments) over transition regions between sleep and wake behaviour are also ...Continue Reading

References

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Dec 8, 2004·Proceedings of the National Academy of Sciences of the United States of America·Chung-Chuan LoPlamen Ch Ivanov
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Feb 20, 2007·CNS & Neurological Disorders Drug Targets·Bruce F O'HaraPaul Franken

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Citations

Dec 25, 2008·Proceedings of the National Academy of Sciences of the United States of America·Evan H GouldingLaurence H Tecott
Dec 25, 2008·Proceedings of the National Academy of Sciences of the United States of America·Richard Paylor
Sep 11, 2009·Journal of the Royal Society, Interface·Lucy AsherDirk U Pfeiffer
May 1, 2012·Clinical and Experimental Pharmacology & Physiology·Taline V KhroyanXinmin Xie
Jan 15, 2014·PloS One·Rachel K RoweJonathan Lifshitz
Apr 8, 2014·Brain Injury : [BI]·Rachel K RoweJonathan Lifshitz
Aug 12, 2009·Brain Research·Jonathan P WisorBruce F O'Hara
Aug 16, 2016·Journal of Dairy Science·J M KlefotJ M Bewley
Oct 16, 2018·Journal of Biological Rhythms·Amanda M MapleAmelia L Gallitano
Nov 7, 2018·Journal of Neurotrauma·Rachel K RoweJonathan Lifshitz
Mar 13, 2019·Alzheimer's & Dementia : Translational Research & Clinical Interventions·Marilyn J DuncanAdam D Bachstetter
Sep 13, 2020·Scientific Reports·Jason A BubierElissa J Chesler
Feb 7, 2012·Journal of Biological Rhythms·Simon P FisherStuart N Peirson
May 24, 2018·Journal of Neuroinflammation·Rachel K RoweJonathan Lifshitz
Apr 24, 2021·Clinical Psychopharmacology and Neuroscience : the Official Scientific Journal of the Korean College of Neuropsychopharmacology·Jeonghyun ParkJung Hyun Lee
Jul 3, 2021·Clocks & Sleep·Chorong HanZheng Chen
Jul 9, 2021·PLoS Genetics·Iwona OlejniczakUrs Albrecht
Jul 8, 2011·Genome Research·Vivek M PhilipElissa J Chesler

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Methods Mentioned

BETA
Feature Extraction

Software Mentioned

MATLAB
LabVIEW

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