Time estimation during sleep relates to the amount of slow wave sleep in humans

Sayaka Aritake-Okada, Makoto Uchiyama, Hiroyuki Suzuki, Hirokuni Tagaya, Kenichi Kuriyama, Masato Matsuura, Kiyohisa Takahashi, Shigekazu Higuchi, Kazuo Mishima

Research output: Contribution to journalArticle

7 Citations (Scopus)

Abstract

Humans have the ability to estimate the amount of time that has elapsed during sleep (time estimation ability; TEA) that enables a subset of individuals to wake up at a predetermined time without referring to a watch or alarm clock. Although previous studies have indicated sleep structure as a key factor that might influence TEA during sleep, which sleep parameters could affect the TEA has not been clarified. We carried out an experimental study in which 20 healthy volunteers participated in six time estimation trials during the 9-h nighttime sleep (NS) experiment or daytime sleep (DS) experiment. The time estimation ratio (TER, ratio of the subjective estimated time interval to actual time interval) decreased significantly from the first to the sixth trial in both the NS and DS experiments. TER correlated positively with slow wave sleep (SWS) in both experiments, suggesting that SWS was a determining factor in accurate time estimation, irrespective of circadian phase they slept. No other sleep parameters showed steady influence on TEA. The present findings demonstrate that longer period of SWS is associated with the longer sleep time they subjectively experienced during sleep.

Original languageEnglish
Pages (from-to)115-121
Number of pages7
JournalNeuroscience Research
Volume63
Issue number2
DOIs
Publication statusPublished - 2009 Feb
Externally publishedYes

Keywords

  • Circadian phase
  • Cognitive science
  • Insomnia
  • Interval timing clock
  • Sleep
  • Time estimation

ASJC Scopus subject areas

  • Neuroscience(all)

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  • Cite this

    Aritake-Okada, S., Uchiyama, M., Suzuki, H., Tagaya, H., Kuriyama, K., Matsuura, M., Takahashi, K., Higuchi, S., & Mishima, K. (2009). Time estimation during sleep relates to the amount of slow wave sleep in humans. Neuroscience Research, 63(2), 115-121. https://doi.org/10.1016/j.neures.2008.11.001