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
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DOI:
10.1038/srep41698
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发表时间:
2017-01-31
期刊:
影响因子:
4.6
通讯作者:
Cohen, Gary
Cohen, Gary
中科院分区:
综合性期刊3区
文献类型:
--
作者:
Bastianini, Stefano;Alvente, Sara;Cohen, Gary

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在小鼠病理模型中研究睡眠呼吸障碍的主要限制是需要将全身体积描记法(WBP)与脑电图/肌电图(EEG/EMG)相结合来测量呼吸以区分清醒-睡眠状态。然而,鼠的觉醒-睡眠状态可以从仅由WBP信号记录的呼吸和身体运动中区分出来。我们的目标是比较基于EEG/EMG和基于WBP的小鼠清醒-睡眠状态评分,并为后者提供正式的指南。同时记录20只小鼠的EEG、EMG、血压和WBP信号。根据EEG/EMG或WBP信号对清醒-睡眠状态进行评分,并计算睡眠依赖性呼吸和心血管估计值。我们发现,两种方法之间的总体一致性为90%,具有较高的科恩Kappa指数(0.82)。2名专家之间以及1名专家和1名天真的睡眠调查者之间的评分者间一致性给出了类似的结果。睡眠依赖性呼吸和心血管估计不依赖于评分方法。我们表明,非侵入性歧视的清醒-睡眠状态的小鼠的基础上视觉检查的WBP信号是准确的,可靠的和可重复的。这项工作可能为非侵入性高通量实验奠定基础,评估小鼠病理生理模型的睡眠和呼吸模式。
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 naive 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 noninvasive high-throughput experiments evaluating sleep and breathing patterns on mouse models of pathophysiology.