Characteristic time scales of electroencephalograms of narcoleptic patients and healthy controls.
Sleep electroencephalograms (EEGs) typically showed correlated fluctuations that became random-like oscillations beyond a characteristic time scale. To investigate this behavior quantitatively, the detrended fluctuation analysis (DFA) was applied to EEGs of 10 narcoleptic patients (22.0 ± 4.0 yrs; 6 males) and 8 healthy controls (24.0 ± 2.0 yrs; 5 males). The characteristic time scales of the narcoleptics and controls were estimated as 1.8 ± 0.7 and 4.4 ± 1.2s, respectively (significance level, p<0.01). We further performed DFA of the EEGs segmented into 30s epochs and found that the DFA scaling exponents increased in deep sleep stages. These results were verified with power spectrum and auto-correlation analysis, and reproduced by a mathematical model. We thus concluded that characteristics of EEGs of narcoleptic patients could be differentiated from those of healthy subjects, suggesting a potential application of DFA in diagnosing narcolepsy.
Kim
Jong Won
JW
School of Physics, The University of Sydney, Sydney, New South Wales 2006, Australia. jongwon.kim@sydney.edu.au
Shin
Hongbeom
H
Kim
Eui-Joong
EJ
Koo
Young-Jin
YJ
Choi
Byunghun
B
Park
Kwang Suk
KS
Jeong
Do-Un
DU
D000293:Adolescent; D000328:Adult; D000465:Algorithms; D016022:Case-Control Studies; D004569:Electroencephalography / Q000379:methods*; D005260:Female; D006801:Humans; D008297:Male; D008959:Models, Neurological; D009290:Narcolepsy / Q000175:diagnosis*; D012815:Signal Processing, Computer-Assisted; D018709:Statistics, Nonparametric