title: A novel telemetric system to measure polysomnographic biopotentials in freely moving animals.
abstract: Mice are by far the most widely used species for scientific research and have been used in many studies involving biopotentials, such as the electroencephalogram (EEG) and electromyogram (EMG) signals monitored for sleep analysis. Unfortunately, current methods for the analysis of these signals involve either tethered systems that are restrictive and heavy for the animal or wireless systems that use transponders that are large relative to the animal and require invasive surgery for implantation; as a result, natural behavior/activity is altered. Here, we propose a novel and inexpensive system for measuring electroencephalographic signals and other biopotentials in mice that allows for natural movement. We also evaluate the new system for the analysis of sleep architecture and EEG power during both spontaneous sleep and the sleep that follows sleep deprivation in mice. Using our new system, vigilance states including non-rapid eye movement sleep (NREMS), rapid eye movement sleep (REMS), and wakefulness, as well as EEG power and NREMS EEG delta power in the 0.5-4 Hz range (an indicator of sleep intensity) showed the diurnal rhythms typically found in mice. These values were also similar to values obtained in mice using telemetry transponders. Mice that used the new system also demonstrated enhanced NREMS EEG delta power responses that are typical following sleep deprivation and few signal artifacts. Moreover, similar movement activity counts were found when using the new system compared to a wireless system. This novel system for measuring biopotentials can be used for polysomnography, infusion, microdialysis, and optogenetic studies, reduces artifacts, and allows for a more natural moving environment and a more accurate investigation of biological systems and pharmaceutical development.
authors.affiliation: Department of Psychiatry, Harvard Medical School and Veterans Affairs Boston Healthcare System, West Roxbury, MA 02132, USA. Mark_Zielinski@hms.harvard.edu
authors.forename: Mark R
authors.initials: MR
authors.lastname: Zielinski
authors.forename: Ludmila
authors.initials: L
authors.lastname: Gerashchenko
authors.forename: Svetlana A
authors.initials: SA
authors.lastname: Karpova
authors.forename: Dmitry
authors.initials: D
authors.lastname: Gerashchenko
mesh_terms: D000818:Animals; D001921:Brain / Q000502:physiology; D004569:Electroencephalography; D051379:Mice; D009068:Movement / Q000502:physiology*; D017286:Polysomnography / Q000295:instrumentation* / Q000379:methods*; D012894:Sleep Stages / Q000502:physiology*; D013686:Telemetry / Q000295:instrumentation* / Q000379:methods*
references.citation: Sleep Biol Rhythms. 2011 Jan;9(s1):71-77
references.pmid: 21625335
references.citation: Neuroscience. 2008 Apr 22;153(1):338-48
references.pmid: 18367337
references.citation: J Clin Sleep Med. 2011 Oct 15;7(5 Suppl):S16-8
references.pmid: 22003323
references.citation: Brain Behav Immun. 2012 May;26(4):672-9
references.pmid: 22433899
references.citation: Physiol Rev. 2012 Jul;92(3):1087-187
references.pmid: 22811426
references.citation: Sleep. 2012 Sep 01;35(9):1209-22
references.pmid: 22942499
references.citation: Sleep. 1989 Feb;12(1):5-12
references.pmid: 2928625
references.citation: Sleep. 2012 Jun 01;35(6):861-9
references.pmid: 22654205
references.citation: Eur J Neurosci. 2012 Jun;35(11):1789-98
references.pmid: 22540145
references.citation: Front Biosci (Schol Ed). 2011 Jan 01;3:632-42
references.pmid: 21196401
references.citation: Sleep. 2010 Dec;33(12):1659-67
references.pmid: 21120128
references.citation: Hum Neurobiol. 1982;1(3):195-204
references.pmid: 7185792
references.citation: Neurobiol Aging. 2012 Jan;33(1):195.e13-26
references.pmid: 20619936
references.citation: J Pharmacol Sci. 2010;114(4):444-53
references.pmid: 21135511