Quantitative study of the sleep onset period via detrended fluctuation analysis: normal vs. narcoleptic subjects.
OBJECTIVE
To examine the process of the sleep onset quantitatively and explore differences between narcoleptics and controls during the sleep onset period (SOP).


METHODS
Dynamic detrended fluctuation analysis (DFA) was applied to electroencephalograms recorded during multiple sleep latency tests of 11 drug-free narcoleptic patients (19.3+/-4.4 yrs; 8 males) and 9 healthy controls (23.8+/-6.3 yrs; 6 males). The SOP of each group was estimated by fitting the time courses of the DFA scaling exponents to a parametric curve.


RESULTS
The sequence of DFA exponents showed that electrophysiological brain activity was changing rapidly across the SOP. This transition was also verified by a conventional method (i.e., dynamic spectral analysis). The SOP durations of narcoleptics and controls were estimated as 239+/-25 s and 145+/-20 s, respectively.


CONCLUSIONS
The significantly larger SOP of narcoleptics, compared to controls, is consistent with the wake state of narcolepsy being more susceptible to sleep due to a lower barrier to transitioning to sleep.


CONCLUSIONS
Our results suggest that electrophysiological signatures of narcolepsy could be quantified by dynamic DFA, so the method may have promise as a potential tool to help the diagnosis of narcolepsy despite the present study's limited sample size.
Kim
Jong Won
JW
School of Physics, The University of Sydney, Sydney, NSW 2006, Australia. jwkim@physics.usyd.edu.au
Shin
Hong-Beom
HB
Robinson
Peter A
PA
D000293:Adolescent; D000328:Adult; D001921:Brain / Q000503:physiopathology; D016022:Case-Control Studies; D004569:Electroencephalography; D055724:Electrophysiological Phenomena / Q000502:physiology*; D005260:Female; D006801:Humans; D008297:Male; D008954:Models, Biological; D009290:Narcolepsy / Q000175:diagnosis / Q000503:physiopathology*; D012890:Sleep / Q000502:physiology; D012894:Sleep Stages / Q000502:physiology*; D055815:Young Adult