4.6 Article

A novel EEG marker predicts perceived sleepiness and poor sleep quality

Journal

SLEEP
Volume 45, Issue 5, Pages -

Publisher

OXFORD UNIV PRESS INC
DOI: 10.1093/sleep/zsac051

Keywords

odds ratio product; daytime sleepiness; sleep disruption; hyperarousal; insomnia; biomarker

Funding

  1. National Health and Medical Research Council (NHRMC) of Australia [1113571]
  2. Australian Research Council (ARC) [DE120102185]
  3. National Health and Medical Research Council
  4. National Heart Foundation
  5. Hospital Research Foundation
  6. ResMed Foundation - National Health and Medical Research of Australia
  7. CRC for Alertness, Safety and productivity - Australian Research Council
  8. Cooperative Research Centre for Alertness, Safety and Productivity
  9. GlaxoSmithKline
  10. Faculty of Biology and Medicine of the University of Lausanne
  11. Swiss National Science Foundation [33CSCO-122661, 33CS30-139468, 33CS30-148401, 32473B-182210]
  12. Ligue Pulmonaire Vaudoise
  13. Leenaards Foundation
  14. NHMRC Senior Research Fellowship [1116942, 1196261]
  15. National Health and Medical Research Council of Australia [1196261] Funding Source: NHMRC

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This study aims to investigate if a novel EEG-derived metric, the odds ratio product (ORP), can predict self-reported daytime sleepiness and poor sleep quality. The results showed that high ORP values were associated with poor sleep quality and a decrease in excessive daytime sleepiness.
Study Objectives To determine if a novel EEG-derived continuous index of sleep depth/alertness, the odds ratio product (ORP), predicts self-reported daytime sleepiness and poor sleep quality in two large population-based cohorts. Methods ORP values which range from 0 (deep sleep) to 2.5 (fully alert) were calculated in 3s intervals during awake periods (ORPwake) and NREM sleep (ORPNREM) determined from home sleep studies in the HypnoLaus (N = 2162: 1106 females, 1056 males) and men androgen inflammation lifestyle environment and stress (MAILES) cohorts (N = 754 males). Logistic regression was used to examine associations between ORPwake, ORPNREM, and traditional polysomnography measures (as comparators) with excessive sleepiness (Epworth sleepiness scale >10) and poor sleep quality (Pittsburgh sleep quality index >5) and insomnia symptoms. Results High ORPwake was associated with a similar to 30% increase in poor sleep quality in both HypnoLaus (odds ratio, OR, and 95% CI) 1.28 (1.09, 1.51), and MAILES 1.36 (1.10, 1.68). High ORPwake was also associated with a similar to 28% decrease in excessive daytime sleepiness in the MAILES dataset. ORPNREM was associated with a similar to 30% increase in poor sleep quality in HypnoLaus but not in MAILES. No consistent associations across cohorts were detected using traditional polysomnography markers. Conclusions ORP, a novel EEG-derived metric, measured during wake periods predicts poor sleep quality in two independent cohorts. Consistent with insomnia symptomatology of poor perceived sleep in the absence of excessive daytime sleepiness, ORPwake may provide valuable objective mechanistic insight into physiological hyperarousal.

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