title: Inter-hemispheric oscillations in human sleep.
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.
authors.affiliation: Department of Neurology, University Hospital Zurich, Zurich, Switzerland. lukas.imbach@usz.ch
authors.forename: Lukas L
authors.initials: LL
authors.lastname: Imbach
authors.forename: Esther
authors.initials: E
authors.lastname: Werth
authors.forename: Ulf
authors.initials: U
authors.lastname: Kallweit
authors.forename: Johannes
authors.initials: J
authors.lastname: Sarnthein
authors.forename: Thomas E
authors.initials: TE
authors.lastname: Scammell
authors.forename: Christian R
authors.initials: CR
authors.lastname: Baumann
mesh_terms: D000328:Adult; D054022:Cerebrum / Q000502:physiology*; D004569:Electroencephalography; D005260:Female; D007839:Functional Laterality; D006801:Humans; D008297:Male; D008875:Middle Aged; D012890:Sleep / Q000502:physiology*; D012895:Sleep, REM / Q000502:physiology; D014851:Wakefulness / Q000502:physiology; D055815:Young Adult