bioRxivNeurosciencePreprint
Pediatric Sleep Assessment through Spectral Sleep Scoring: A Comparison with Polysomnography
Alessandra E. ShusteriD, Julie OntoniD, Neal Nakra, Katharine C.N.S. SimoniD
Abstract
Understanding how sleep changes across development requires methods that are both efficient and sensitive to maturational differences in sleep physiology. Spectral sleep scoring is a promising approach, but has primarily been validated in adult populations. This study presents and validates a spectral scoring approach for pediatric sleep. Participants (n = 192; 9 to 18y) completed overnight in-lab sleep studies. Visual scoring was determined by registered polysomnographic technologists and confirmed by board certified sleep physicians following AASM guidelines. Visual stages included: wake, non-rapid eye movement (NREM) stage 1 (N1), NREM stage 2 (N2), NREM stage 3 (N3), and rapid-eye movement (REM) sleep. Spectral activity within each epoch was assessed for the following spectral stages: Wake (40 to 95 Hz), Light (11 to 15.5 Hz), Hi Deep (1 to 3 Hz), Lo Deep (0.1 to 1 Hz), and REM (17 to 26 Hz). Concordance rates were checked across agreement matrices between visual and spectral stages, with expected high agreement between: 1) visual Wake and spectral Wake; 2) visual N2 and spectral Light; 3) visual N3 and spectral HiDeep/LoDeep; and 4) visual REM and spectral REM. Cohens {kappa} was calculated from concordance matrices. There was high agreement between visual and spectral stages (71-89%, {kappa} =.76). Our results provide evidence that spectral scoring is a promising method for efficiently scoring pediatric sleep. Moreover, this method provides additional, clinically relevant information that is not readily captured through traditional visual scoring. This may be particularly valuable for assessing sleep physiology in pediatric clinical populations, where developmental differences in EEG patterns may complicate visual scoring.
- organism: human
- assay: electronic health records
- research focus: cell type annotation
- approach: statistical model
- Citations
- 0
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- On the development of sleep states in the first weeks of life
Tomasz Wielek, Renata del Giudice, … Manuel Schabus·PLoS ONEPeer-reviewed·Oct 29, 2019
- Mapping Typical and Altered Neurodevelopment with Sleep Macro- and Micro-Architecture
Nataliia Kozhemiako, Ashura Williams Buckley, … Shaun Purcell·bioRxiv·Dec 15, 2022
- Leveraging clinical sleep data across multiple pediatric cohorts for insights into neurodevelopment: the Retrospective Analysis of Sleep in Pediatric (RASP) cohorts study
Naihua Natalie Gong, Aditya Mahat, … Ashura Williams Buckley·SLEEPPeer-reviewed·Jun 6, 2025
- Scale-free and oscillatory spectral measures of sleep stages in humans
Bence Schneider, Orsolya Szalárdy, … Róbert Bódizs·Frontiers in NeuroinformaticsPeer-reviewed·Oct 3, 2022
- Wake EEG oscillation dynamics reflect both sleep pressure and brain maturation across childhood and adolescence
Sophia Snipes, Valeria Jaramillo, … Reto Huber·bioRxiv·Feb 24, 2024
- Using wearable EEG to examine age trends in sleep macro- and micro-architecture across adolescence
Sanna Lokhandwala, Rebecca Hayes, … Maria Jalbrzikowski·bioRxiv·Oct 10, 2025