Comput. Biol. Med. - Characteristic time scales of electroencephalograms of narcoleptic patients and healthy controls.

Tópicos

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Resumo

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.

Resumo Limpo

sleep electroencephalogram eeg typic show correl fluctuat becam randomlik oscil beyond characterist time scale investig behavior quantit detrend fluctuat analysi dfa appli eeg narcolept patient yrs male healthi control yrs male characterist time scale narcolept control estim s respect signific level p perform dfa eeg segment s epoch found dfa scale expon increas deep sleep stage result verifi power spectrum autocorrel analysi reproduc mathemat model thus conclud characterist eeg narcolept patient differenti healthi subject suggest potenti applic dfa diagnos narcolepsi

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