Fully automatic REM sleep stage-specific intervention systems using single EEG in mice
Fully automatic REM sleep stage-specific intervention systems using single EEG in mice
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DOI：
10.1016/j.neures.2022.10.001
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发表时间：
2022-12-30
影响因子：
2.9
通讯作者：
Sakaguchi, Masanori
中科院分区：
文献类型：
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作者：
Koyanagi, Iyo;Tezuka, Taro;Sakaguchi, Masanori
睡眠阶段特异性干预被广泛用于阐明睡眠的功能及其机制。对于这种干预，必须准确地分类快速眼动（REM）睡眠。然而，在小鼠中尚未获得在体内全自动实时REM睡眠分类的证据。在这里，我们报告了一个系统，从单通道脑电图（EEG）实时分类睡眠阶段在体内实施。它能够以90%的灵敏度和86%的精确度进行REM睡眠特异性干预，而无需对每只小鼠进行预先配置。我们进一步推导出能够以更高的频率采样和时间分辨率进行分类的系统。这种附着并移动的睡眠分期系统提供了一个全自动、准确和可扩展的工具来研究睡眠的功能。
Sleep stage-specific intervention is widely used to elucidate the functions of sleep and their underlying mech-anisms. For this intervention, it is imperative to accurately classify rapid-eye-movement (REM) sleep. However, the proof of fully automatic real-time REM sleep classification in vivo has not been obtained in mice. Here, we report the in vivo implementation of a system that classifies sleep stages in real-time from a single-channel electroencephalogram (EEG). It enabled REM sleep-specific intervention with 90 % sensitivity and 86 % preci-sion without prior configuration to each mouse. We further derived systems capable of classification with higher frequency sampling and time resolution. This attach-and-go sleep staging system provides a fully automatic accurate and scalable tool for investigating the functions of sleep.