Format

Send to

Choose Destination
Clin Neurophysiol. 2013 Aug;124(8):1605-14. doi: 10.1016/j.clinph.2013.02.022. Epub 2013 Apr 4.

A new EEG biomarker of neurobehavioural impairment and sleepiness in sleep apnea patients and controls during extended wakefulness.

Author information

1
Sleep and Circadian Research Group and NHMRC Centre for Integrated Research and Understanding of Sleep, Woolcock Institute of Medical Research, The University of Sydney, Australia. angela.drozario@sydney.edu.au

Abstract

OBJECTIVE:

To explore the use of detrended fluctuation analysis (DFA) scaling exponent of the awake electroencephalogram (EEG) as a new alternative biomarker of neurobehavioural impairment and sleepiness in obstructive sleep apnea (OSA).

METHODS:

Eight patients with moderate-severe OSA and nine non-OSA controls underwent a 40-h extended wakefulness challenge with resting awake EEG, neurobehavioural performance (driving simulator and psychomotor vigilance task) and subjective sleepiness recorded every 2-h. The DFA scaling exponent and power spectra of the EEG were calculated at each time point and their correlation with sleepiness and performance were quantified.

RESULTS:

DFA scaling exponent and power spectra biomarkers significantly correlated with simultaneously tested performance and self-rated sleepiness across the testing period in OSA patients and controls. Baseline (8am) DFA scaling exponent but not power spectra were markers of impaired simulated driving after 24-h extended wakefulness in OSA (r=0.738, p=0.037). OSA patients had a higher scaling exponent and delta power during wakefulness than controls.

CONCLUSIONS:

The DFA scaling exponent of the awake EEG performed as well as conventional power spectra as a marker of impaired performance and sleepiness resulting from sleep loss.

SIGNIFICANCE:

DFA may potentially identify patients at risk of neurobehavioural impairment and assess treatment effectiveness.

KEYWORDS:

Detrended fluctuation analysis; Neurobehavioural function; Obstructive sleep apnea; Power spectral analysis; Quantitative EEG; Sleep deprivation

PMID:
23562656
DOI:
10.1016/j.clinph.2013.02.022
[Indexed for MEDLINE]

Supplemental Content

Full text links

Icon for Elsevier Science
Loading ...
Support Center