ArticleSleep2021
Characteristics and reproducibility of novel sleep EEG biomarkers and their variation with sleep apnea and insomnia in a large community-based cohort.
Article in Sleep, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
32 citing papers in PubMed, 54 citations in OpenAlex.
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- EEG spectral analysis of nighttime sleep and daytime MSLTs and neurocognitive evaluations in subjects with co-morbid insomnia and OSA.Respiratory research · 2025Article
- Continuous sleep depth index annotation with deep learning yields novel digital biomarkers for sleep health.NPJ digital medicine · 2025Article
- Comparative analysis of sleep physiology using qualitative and quantitative criteria for insomnia symptoms.Sleep · 2025Article
- Artificial Intelligence Can Drive Sleep Medicine.Sleep medicine clinics · 2025Review
- Association of Novel Sleep EEG Biomarkers with All-Cause Mortality in a Large Community-Based Cohort.Nature and science of sleep · 2025Article
- Clinical association between current depressive symptoms and odds ratio product in US sleep centers.Frontiers in sleep · 2025Article
- Exploring the Arousal Intensity in Patients with Obstructive Sleep Apnea: Based on Odds Ratio Product.Nature and science of sleep · 2025Article
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- Review
- Short-term and long-term phenotypic stability of actigraphic sleep metrics involving repeated sleep loss and recovery.Journal of sleep research · 2024Article
- Adaptive and Compensatory Neural Signatures in Fibromyalgia: An Analysis of Resting-State and Stimulus-Evoked EEG Oscillations.Biomedicines · 2024Article
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- Research on Sleep Staging Based on Support Vector Machine and Extreme Gradient Boosting Algorithm.Nature and science of sleep · 2024Article
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Authors and funding
5 authors at 3 institutions in 2 countries.
Funding
Abstract
STUDY
objectivesNew electroencephalogram (EEG) features became available for use in polysomnography and have shown promise in early studies. They include a continuous index of sleep depth (odds-ratio-product: ORP), agreement between right and left sleep depth (R/L coefficient), dynamics of sleep recovery following arousals (ORP-9), general EEG amplification (EEG Power), alpha intrusion and arousal intensity. This study was undertaken to establish ranges and reproducibility of these features in subjects with different demographics and clinical status.
methodsWe utilized data from the two phases of the Sleep-Heart-Health-Study (SHHS1 and SHHS2). Polysomnograms of 5,804 subjects from SHHS1 were scored to determine the above features. Feature values were segregated according to clinical status of obstructive sleep apnea (OSA), insomnia, insomnia plus OSA, no clinical sleep disorder, and demographics (age, gender, and race). Results from SHHS visit2 were compared with SHHS1 results.
resultsAll features varied widely among clinical groups and demographics. Relative to participants with no sleep disorder, wake ORP was higher in participants reporting insomnia symptoms and lower in those with OSA (p < 0.0001 for both), reflecting opposite changes in sleep pressure, while NREM ORP was higher in both insomnia and OSA (p<0.0001), reflecting lighter sleep in both groups. There were significant associations with age, gender, and race. EEG Power, and REM ORP were highly reproducible across the two studies (ICC > 0.75).
conclusionsThe reported results serve as bases for interpreting studies that utilize novel sleep EEG biomarkers and identify characteristic EEG changes that vary with age, gender and may help distinguish insomnia from OSA.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.