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Threshold Values of Sleep Spindles Features in Healthy Adults Using Scalp-EEG and Associations With Sleep Parameters
Julien Coelho1,2, Heloïse Degros3, Jean-Arthur Micoulaud-Franchi1,2
1SANPSY, CNRS, UMR 6033, Hôpital Pellegrin, Univ Bordeaux, Bordeaux, France.
Annals of Clinical and Translational Neurology
|April 21, 2025
Summary
This study established the first threshold values for sleep spindles in healthy adults. These findings are crucial for understanding sleep disorders and developing new biomarkers.
Area of Science:
- Neuroscience
- Sleep Science
Background:
- Sleep spindles are key electrophysiological markers of brain activity during sleep.
- Spindle characteristics (duration, frequency, amplitude, density) vary with age and sex and are altered in neurological/psychiatric conditions.
Purpose of the Study:
- To establish the first normative threshold values for sleep spindle characteristics in healthy adults.
- To explore associations between sleep spindle parameters and other sleep metrics.
Main Methods:
- An observational prospective study involving 80 healthy adults (aged 19-74, 50% female).
- In-laboratory polysomnography was used to record sleep.
- Sleep spindles during N2 sleep were analyzed using automated procedures, categorized as fast (>13 Hz) or slow (≤13 Hz).
Main Results:
- Threshold values for fast spindles: duration (0.80-1.11s), frequency (13.4-14.3 Hz), amplitude (5.2-15.2 μV), density (1.0-5.8/min).
- Threshold values for slow spindles: duration (0.79-1.17s), frequency (12.3-12.9 Hz), amplitude (4.1-13.2 μV), density (0.03-3.15/min).
- Spindle density, amplitude, and duration decreased after age 40. Females had higher spindle amplitudes. Fast spindle amplitude correlated with excessive daytime sleepiness and increased slow-wave sleep.
Conclusions:
- This study provides the first normative threshold values for sleep spindle characteristics in healthy adults.
- These established thresholds are vital for developing novel biomarkers for neurological and psychiatric disorders.
- The findings enhance our understanding of the sleeping brain's complex functions.
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