Noninvasive dissection of mouse sleep using a piezoelectric motion sensor

Yaghouby, Farid; Donohue, Kevin D.; O’Hara, Bruce F.; Sunderam, Sridhar

doi:10.1016/j.jneumeth.2015.11.004

Cited by 66 publications

(63 citation statements)

References 42 publications

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“…This level of agreement is better than that previously reported using a different non-invasive technique (video recordings), for which the overall error rate was 23.3% 28 . Our WBP-method showed slightly lower specificity (−5%, −7% and −7% for W, NREMS and REMS detection, respectively) compared with another non-invasive (piezoelectric sensor-based) behavioral scoring method 29 , but performed much better in terms of sensitivity (+6%, +17%, and +14%, for W, NREMS and REMS detection, respectively). The WBP and piezoelectric sensor technologies are, however, very different: the latter relies on physical contact between the mouse and detector on the cage floor whereas the former does not.…”

Section: Discussionmentioning

confidence: 66%

Accurate discrimination of the wake-sleep states of mice using non-invasive whole-body plethysmography

Bastianini

Alvente

Berteotti

et al. 2017

Sci Rep

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A major limitation in the study of sleep breathing disorders in mouse models of pathology is the need to combine whole-body plethysmography (WBP) to measure respiration with electroencephalography/electromyography (EEG/EMG) to discriminate wake-sleep states. However, murine wake-sleep states may be discriminated from breathing and body movements registered by the WBP signal alone. Our goal was to compare the EEG/EMG-based and the WBP-based scoring of wake-sleep states of mice, and provide formal guidelines for the latter. EEG, EMG, blood pressure and WBP signals were simultaneously recorded from 20 mice. Wake-sleep states were scored based either on EEG/EMG or on WBP signals and sleep-dependent respiratory and cardiovascular estimates were calculated. We found that the overall agreement between the 2 methods was 90%, with a high Cohen’s Kappa index (0.82). The inter-rater agreement between 2 experts and between 1 expert and 1 naïve sleep investigators gave similar results. Sleep-dependent respiratory and cardiovascular estimates did not depend on the scoring method. We show that non-invasive discrimination of the wake-sleep states of mice based on visual inspection of the WBP signal is accurate, reliable and reproducible. This work may set the stage for non-invasive high-throughput experiments evaluating sleep and breathing patterns on mouse models of pathophysiology.

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Section: Discussionmentioning

confidence: 66%

Accurate discrimination of the wake-sleep states of mice using non-invasive whole-body plethysmography

Bastianini

Alvente

Berteotti

et al. 2017

Sci Rep

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“…However, in HKA system, simple A/D converter directly detects animal's natural behavior without any additional devices. The simplicity of data acquisition process is where HKA system has huge benefits over other recording systems that uses specific sensors [ 16 17 18 19 20 21 22 23 ].…”

Section: Discussionmentioning

confidence: 99%

“…There have been several approaches proposed to monitor natural activities, including vibration detecting system [ 16 17 18 ], home cage system [ 16 19 20 ], beam break system [ 16 ], video monitoring system [ 16 21 ], RFID recording system [ 16 22 ], and piezo-sensor system [ 23 ]. While these systems were successful in terms of detecting natural animal behaviors, none of these systems seems to achieve noticeable cost reduction compared to WRA system.…”

Section: Introductionmentioning

confidence: 99%

Development of a Low-cost, Comprehensive Recording System for Circadian Rhythm Behavior

et al. 2018

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Circadian rhythm is defined as a 24-hour biological oscillation, which persists even without any external cues but also can be re-entrained by various environmental cues. One of the widely accepted circadian rhythm behavioral experiment is measuring the wheel-running activity (WRA) of rodents. However, the price for commercially available WRA recording system is not easily affordable for researchers due to high-cost implementation of sensors for wheel rotation. Here, we developed a cost-effective and comprehensive system for circadian rhythm recording by measuring the house-keeping activities (HKA). We have monitored animal's HKA as electrical signal by simply connecting animal housing cage with a standard analog/digital converter: input to the metal lid and ground to the metal grid floor. We show that acquired electrical signals are combined activities of eating, drinking and natural locomotor behaviors which are well-known indicators of circadian rhythm. Post-processing of measured electrical signals enabled us to draw actogram, which verifies HKA to be reliable circadian rhythm indicator. To provide easy access of HKA recording system for researchers, we have developed user-friendly MATLAB-based software, Circa Analysis. This software provides functions for easy extraction of scalable “touch activity” from raw data files by automating seven steps of post-processing and drawing actograms with highly intuitive user-interface and various options. With our cost-effective HKA circadian rhythm recording system, we have estimated the cost of our system to be less than $150 per channel. We anticipate our system will benefit many researchers who would like to study circadian rhythm.

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“…The differences in sleep/wake as determined by EEG/EMG and piezoelectric monitoring in the current study are likely due to the different environments used for recording. Future studies are needed in which simultaneous piezoelectric EEG/EMG recordings are collected during the dark period from narcoleptic mice to assess cataplexy detection using an unsupervised algorithm that has been tuned to extract features of REM sleep (32) to determine if cataplexy can be identified by piezoelectric monitoring.…”

Section: Discussionmentioning

confidence: 99%

Rapid, noninvasive, and unsupervised detection of sleep/wake using piezoelectric monitoring for pharmacological studies in narcoleptic mice

Black

Sun

Laihsu

et al. 2017

Preprint

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BackgroundAssessment of sleep/wake by electroencephalography (EEG) and electromyography (EMG) is invasive, resource intensive, and not amenable to rapid screening at scale for drug discovery. In the preclinical development of therapeutics for narcolepsy, efficacy tests are hindered by the lack of a non-EEG/EMG based translational test of symptom severity. The current methods study offers proof-of-principle that PiezoSleep (noninvasive, unsupervised piezoelectric monitoring of gross body movement, together with respiration patterns during behavioral quiescence), can be used to determine sleep/wake as applicable to the development of wake-promoting therapeutics. First, the translational wake-maintenance score (WMS, the ratio of time during the first half of the dark period spent in long wake bouts to short sleep bouts) of the PiezoSleep narcolepsy screen was introduced as a means by which to rank narcoleptic orexin/ataxin-3 mice and wild type mice by sleep/wake fragmentation severity. Accuracy of the WMS to detect narcoleptic phenotypes were determined in genotype-confirmed orexin/ataxin-3 mice and wild type colony mates. The WMS was used to identify the most highly symptomatic mice for resource-intensive EEG/EMG studies for further analysis of specific arousal states. Second, PiezoSleep was demonstrated for use in high-throughput screening of wake-promoting compounds using modafinil in orexin/ataxin-3 and wild type mice.ResultsThe WMS detected a narcoleptic phenotype with 89% sensitivity, 92% specificity and 98% positive predictive value. A 15-fold difference in WMS differentiated wild type littermates from the most severely affected orexin/ataxin-3 mice. Follow-up EEG/EMG study indicated 82% of the orexin/ataxin-3 mice with the lowest wake-maintenance scores met or exceeded the cataplexy-occurrence threshold (≥ 3 bouts) for inclusion in therapeutic efficacy studies. In the PiezoSleep dose-response study, the ED50 for wake-promotion by modafinil was approximately 50 mg/kg in both genotypes. Using unsupervised piezoelectric monitoring, the efficacy of wake-promoting compounds can be determined in a 5-arm study with 60 mice in less than one week—a fraction of the time compared to EEG/EMG studies.ConclusionsThe WMS on the PiezoSleep narcolepsy screen quantifies the inability to sustain wakefulness and provides an accurate measure of the narcoleptic phenotype in mice. PiezoSleep offers rapid, scalable assessment of sleep/wake for high-throughput screening in drug discovery.

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Noninvasive dissection of mouse sleep using a piezoelectric motion sensor

Cited by 66 publications

References 42 publications

Accurate discrimination of the wake-sleep states of mice using non-invasive whole-body plethysmography

Accurate discrimination of the wake-sleep states of mice using non-invasive whole-body plethysmography

Development of a Low-cost, Comprehensive Recording System for Circadian Rhythm Behavior

Rapid, noninvasive, and unsupervised detection of sleep/wake using piezoelectric monitoring for pharmacological studies in narcoleptic mice

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