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Characteristic time scales of electroencephalograms of narcoleptic patients and healthy controls

Cited 4 time in Web of Science Cited 4 time in Scopus
Issue Date
2010-10
Publisher
PERGAMON-ELSEVIER SCIENCE LTD
Citation
COMPUTERS IN BIOLOGY AND MEDICINE; Vol.40 10; 831-838
Keywords
NarcolepsyDetrended fluctuation analysisCharacteristic time scaleScaling exponentElectroencephalogram
Abstract
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 +/- 1.2 s. 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. (C) 2010 Elsevier Ltd. All rights reserved.
ISSN
0010-4825
Language
English
URI
https://hdl.handle.net/10371/77810
DOI
https://doi.org/10.1016/j.compbiomed.2010.09.001
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College of Medicine/School of Medicine (의과대학/대학원)Biomedical Engineering (의공학전공)Journal Papers (저널논문_의공학전공)
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