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Inter-Hemispheric Oscillations in Human Sleep

Author

Listed:
  • Lukas L Imbach
  • Esther Werth
  • Ulf Kallweit
  • Johannes Sarnthein
  • Thomas E Scammell
  • Christian R Baumann

Abstract

Sleep is generally categorized into discrete stages based on characteristic electroencephalogram (EEG) patterns. This traditional approach represents sleep architecture in a static way, but it cannot reflect variations in sleep across time and across the cortex. To investigate these dynamic aspects of sleep, we analyzed sleep recordings in 14 healthy volunteers with a novel, frequency-based EEG analysis. This approach enabled comparison of sleep patterns with low inter-individual variability. We then implemented a new probability dependent, automatic classification of sleep states that agreed closely with conventional manual scoring during consolidated sleep. Furthermore, this analysis revealed a previously unrecognized, interhemispheric oscillation during rapid eye movement (REM) sleep. This quantitative approach provides a new way of examining the dynamic aspects of sleep, shedding new light on the physiology of human sleep.

Suggested Citation

  • Lukas L Imbach & Esther Werth & Ulf Kallweit & Johannes Sarnthein & Thomas E Scammell & Christian R Baumann, 2012. "Inter-Hemispheric Oscillations in Human Sleep," PLOS ONE, Public Library of Science, vol. 7(11), pages 1-10, November.
    • Handle: RePEc:plo:pone00:0048660
    DOI: 10.1371/journal.pone.0048660
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    References listed on IDEAS

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    1. Vladyslav V. Vyazovskiy & Umberto Olcese & Erin C. Hanlon & Yuval Nir & Chiara Cirelli & Giulio Tononi, 2011. "Local sleep in awake rats," Nature, Nature, vol. 472(7344), pages 443-447, April.
    2. Reto Huber & M. Felice Ghilardi & Marcello Massimini & Giulio Tononi, 2004. "Local sleep and learning," Nature, Nature, vol. 430(6995), pages 78-81, July.
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