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Fully automatic REM sleep stage-specific intervention systems using single EEG in mice

Koyanagi, Iyo ; Tezuka, Taro ; Yu, Jiahui ; Srinivasan, Sakthivel ; Naoi, Toshie ; Yasugaki, Shinnosuke ; Nakai, Ayaka ; Taniguchi, Shimpei ; Hayashi, Yu ; Nakano, Yasushi ; Sakaguchi, Masanori

Neuroscience research, 2023-01, Vol.186, p.51-58 [Periódico revisado por pares]

Ireland: Elsevier B.V

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  • Título:
    Fully automatic REM sleep stage-specific intervention systems using single EEG in mice
  • Autor: Koyanagi, Iyo ; Tezuka, Taro ; Yu, Jiahui ; Srinivasan, Sakthivel ; Naoi, Toshie ; Yasugaki, Shinnosuke ; Nakai, Ayaka ; Taniguchi, Shimpei ; Hayashi, Yu ; Nakano, Yasushi ; Sakaguchi, Masanori
  • Assuntos: Animals ; Deep learning ; EEG ; Electroencephalography ; Mice ; REM sleep ; Sleep ; Sleep stage classification ; Sleep Stages ; Sleep, REM
  • É parte de: Neuroscience research, 2023-01, Vol.186, p.51-58
  • Notas: ObjectType-Article-1
    SourceType-Scholarly Journals-1
    ObjectType-Feature-2
    content type line 23
  • Descrição: Sleep stage-specific intervention is widely used to elucidate the functions of sleep and their underlying mechanisms. 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 % precision 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. •Real-time sleep-stage classification system is established for living mice.•It enables high-quality REM sleep classification for multiple mice.•A new AI model for 4-second resolution is established in silico.
  • Editor: Ireland: Elsevier B.V
  • Idioma: Inglês
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  • Realização: ABCD-USP USP   Logos de Redes Sociais: Freepik

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