Tracking Eye Movements During Sleep in Mice

Eye movement is not only for adjusting the visual field and maintaining the stability of visual information on the retina, but also provides an external manifestation of the cognitive status of the brain. Recent studies showed similarity in eye movement patterns between wakefulness and rapid eye mov...

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Main Authors: Qingshuo Meng, Xinrong Tan, Chengyong Jiang, Yanyu Xiong, Biao Yan, Jiayi Zhang
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-02-01
Series:Frontiers in Neuroscience
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fnins.2021.616760/full
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author Qingshuo Meng
Xinrong Tan
Chengyong Jiang
Yanyu Xiong
Biao Yan
Jiayi Zhang
author_facet Qingshuo Meng
Xinrong Tan
Chengyong Jiang
Yanyu Xiong
Biao Yan
Jiayi Zhang
author_sort Qingshuo Meng
collection DOAJ
description Eye movement is not only for adjusting the visual field and maintaining the stability of visual information on the retina, but also provides an external manifestation of the cognitive status of the brain. Recent studies showed similarity in eye movement patterns between wakefulness and rapid eye movement (REM) sleep, indicating that the brain status of REM sleep likely resembles that of awake status. REM sleep in humans could be divided into phasic REM and tonic REM sleep according to the difference in eye movement frequencies. Mice are the most commonly used animal model for studying neuronal and molecular mechanisms underlying sleep. However, there was a lack of details for eye movement patterns during REM sleep, hence it remains unknown whether REM sleep can be further divided into different stages in mice. Here we developed a device combining electroencephalogram (EEG), electromyogram (EMG) as well as eye movements recording in mice to study the eye movement patterns during sleep. We implanted a magnet beneath the conjunctiva of eye and tracked eye movements using a magnetic sensor. The magnetic signals showed strong correlation with video-oculography in head-fixed mice, indicating that the magnetic signals reflect the direction and magnitude of eye movement. We also found that the magnet implanted beneath the conjunctiva exhibited good biocompatibility. Finally, we examined eye movement in sleep–wake cycle, and discriminated tonic REM and phasic REM according to the frequency of eye movements, finding that compared to tonic REM, phasic REM exhibited higher oscillation power at 0.50 Hz, and lower oscillation power at 1.50–7.25 Hz and 9.50–12.00 Hz. Our device allowed to simultaneously record EEG, EMG, and eye movements during sleep and wakefulness, providing a convenient and high temporal-spatial resolution tool for studying eye movements in sleep and other researches in mice.
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spelling doaj.art-f06dcd322968432db0e8e926fcabff6d2022-12-21T23:46:01ZengFrontiers Media S.A.Frontiers in Neuroscience1662-453X2021-02-011510.3389/fnins.2021.616760616760Tracking Eye Movements During Sleep in MiceQingshuo MengXinrong TanChengyong JiangYanyu XiongBiao YanJiayi ZhangEye movement is not only for adjusting the visual field and maintaining the stability of visual information on the retina, but also provides an external manifestation of the cognitive status of the brain. Recent studies showed similarity in eye movement patterns between wakefulness and rapid eye movement (REM) sleep, indicating that the brain status of REM sleep likely resembles that of awake status. REM sleep in humans could be divided into phasic REM and tonic REM sleep according to the difference in eye movement frequencies. Mice are the most commonly used animal model for studying neuronal and molecular mechanisms underlying sleep. However, there was a lack of details for eye movement patterns during REM sleep, hence it remains unknown whether REM sleep can be further divided into different stages in mice. Here we developed a device combining electroencephalogram (EEG), electromyogram (EMG) as well as eye movements recording in mice to study the eye movement patterns during sleep. We implanted a magnet beneath the conjunctiva of eye and tracked eye movements using a magnetic sensor. The magnetic signals showed strong correlation with video-oculography in head-fixed mice, indicating that the magnetic signals reflect the direction and magnitude of eye movement. We also found that the magnet implanted beneath the conjunctiva exhibited good biocompatibility. Finally, we examined eye movement in sleep–wake cycle, and discriminated tonic REM and phasic REM according to the frequency of eye movements, finding that compared to tonic REM, phasic REM exhibited higher oscillation power at 0.50 Hz, and lower oscillation power at 1.50–7.25 Hz and 9.50–12.00 Hz. Our device allowed to simultaneously record EEG, EMG, and eye movements during sleep and wakefulness, providing a convenient and high temporal-spatial resolution tool for studying eye movements in sleep and other researches in mice.https://www.frontiersin.org/articles/10.3389/fnins.2021.616760/fulleye movement trackingsleep–wake cycletonic REMphasic REMbiocompatibility
spellingShingle Qingshuo Meng
Xinrong Tan
Chengyong Jiang
Yanyu Xiong
Biao Yan
Jiayi Zhang
Tracking Eye Movements During Sleep in Mice
Frontiers in Neuroscience
eye movement tracking
sleep–wake cycle
tonic REM
phasic REM
biocompatibility
title Tracking Eye Movements During Sleep in Mice
title_full Tracking Eye Movements During Sleep in Mice
title_fullStr Tracking Eye Movements During Sleep in Mice
title_full_unstemmed Tracking Eye Movements During Sleep in Mice
title_short Tracking Eye Movements During Sleep in Mice
title_sort tracking eye movements during sleep in mice
topic eye movement tracking
sleep–wake cycle
tonic REM
phasic REM
biocompatibility
url https://www.frontiersin.org/articles/10.3389/fnins.2021.616760/full
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AT xinrongtan trackingeyemovementsduringsleepinmice
AT chengyongjiang trackingeyemovementsduringsleepinmice
AT yanyuxiong trackingeyemovementsduringsleepinmice
AT biaoyan trackingeyemovementsduringsleepinmice
AT jiayizhang trackingeyemovementsduringsleepinmice