Literature DB >> 23563323

A novel telemetric system to measure polysomnographic biopotentials in freely moving animals.

Mark R Zielinski1, Ludmila Gerashchenko, Svetlana A Karpova, Dmitry Gerashchenko.   

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. Published by Elsevier B.V.

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Year:  2013        PMID: 23563323      PMCID: PMC3679249          DOI: 10.1016/j.jneumeth.2013.03.022

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


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