Quantitative electroencephalogram measures in adult obstructive sleep apnea – Potential biomarkers of neurobehavioural functioning

Angela L. D'Rozario*, Nathan E. Cross, Andrew Vakulin, Delwyn J. Bartlett, Keith K. H. Wong, David Wang, Ronald R. Grunstein

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

61 Citations (Scopus)

Abstract

Obstructive sleep apnea (OSA) results in significantly impaired cognitive functioning and increased daytime sleepiness in some patients leading to increased risk of motor vehicle and workplace accidents and reduced productivity. Clinicians often face difficulty in identifying which patients are at risk of neurobehavioural dysfunction due to wide inter-individual variability, and disparity between symptoms and conventional metrics of disease severity such as the apnea hypopnea index. Quantitative electroencephalogram (EEG) measures are determinants of awake neurobehavioural function in healthy subjects. However, the potential value of quantitative EEG (qEEG) measurements as biomarkers of neurobehavioural function in patients with OSA has not been examined. This review summarises the existing literature examining qEEG in OSA patients including changes in brain activity during wake and sleep states, in relation to daytime sleepiness, cognitive impairment and OSA treatment. It will speculate on the mechanisms which may underlie changes in EEG activity and discuss the potential utility of qEEG as a clinically useful predictor of neurobehavioural function in OSA.

Original languageEnglish
Pages (from-to)29-42
Number of pages14
JournalSleep Medicine Reviews
Volume36
DOIs
Publication statusPublished - Dec 2017
Externally publishedYes

Keywords

  • cognition
  • performance
  • power spectral analysis
  • quantitative EEG analysis
  • signal processing
  • sleep disordered breathing

Fingerprint

Dive into the research topics of 'Quantitative electroencephalogram measures in adult obstructive sleep apnea – Potential biomarkers of neurobehavioural functioning'. Together they form a unique fingerprint.

Cite this