就寝中覚醒の確率過程モデリング - 脳波による視床-皮質間結合強度の解析結果から

Waking during nocturnal sleep (WS) is gaining attention in the health science field. Although some findings, (e.g., the power-law distribution of the wake duration time) have been reported, the mechanism of it is still unclear. In this talk, we light on this issue. In a previous study, we showed tha...

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Published inTransactions of Japanese Society for Medical and Biological Engineering Vol. 54Annual; no. 28AM-Abstract; p. S294
Main Authors 岸, 哲史, 中村, 亨, 山口, 郁博, 東郷, 史治, 山本, 義春
Format Journal Article
LanguageJapanese
Published 公益社団法人 日本生体医工学会 2016
Japanese Society for Medical and Biological Engineering
Online AccessGet full text
ISSN1347-443X
1881-4379
DOI10.11239/jsmbe.54Annual.S294

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Abstract Waking during nocturnal sleep (WS) is gaining attention in the health science field. Although some findings, (e.g., the power-law distribution of the wake duration time) have been reported, the mechanism of it is still unclear. In this talk, we light on this issue. In a previous study, we showed that corticothalamic feedback loop strength (c2), estimated by an EEG analysis method, clearly tracks the wake-to-sleep transition just before nocturnal sleep. This time, we applied this method to nocturnal sleep. The c2-distribution (n = 52) during nocturnal sleep exhibited clear bimodal, which can be well approximated by superposition of two Gaussian distributions corresponding to sleep (Non-REM 1-4 and REM) and wake states, respectively. This observation suggests that the dynamical change of c2 obeys the Ornstein-Uhlenbeck process in each state. Based on these findings, we show an attempt for stochastic process modeling of WS.
AbstractList Waking during nocturnal sleep (WS) is gaining attention in the health science field. Although some findings, (e.g., the power-law distribution of the wake duration time) have been reported, the mechanism of it is still unclear. In this talk, we light on this issue. In a previous study, we showed that corticothalamic feedback loop strength (c2), estimated by an EEG analysis method, clearly tracks the wake-to-sleep transition just before nocturnal sleep. This time, we applied this method to nocturnal sleep. The c2-distribution (n = 52) during nocturnal sleep exhibited clear bimodal, which can be well approximated by superposition of two Gaussian distributions corresponding to sleep (Non-REM 1-4 and REM) and wake states, respectively. This observation suggests that the dynamical change of c2 obeys the Ornstein-Uhlenbeck process in each state. Based on these findings, we show an attempt for stochastic process modeling of WS.
Author 東郷, 史治
山本, 義春
中村, 亨
岸, 哲史
山口, 郁博
Author_FL Yamamoto Yoshiharu
Nakamura Toru
Kishi Akifumi
Yamaguchi Ikuhiro
Togo Fumiharu
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Title 就寝中覚醒の確率過程モデリング - 脳波による視床-皮質間結合強度の解析結果から
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