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Using wearable EEG to examine age trends in sleep macro- and micro-architecture across adolescence
bioRxiv · · Preprint · Open access
Lokhandwala, Cooper + 17 more
Abstract ↗AI summary
The abstract is read at the publisher; the summary is JClub's.
Dreem3 wearable EEG in typically developing youth (N=100, 9–26 years) replicated several established age trends, including higher NREM stage 2% and lower N3% with age.
- Why it matters: Laboratory polysomnography captures developmental sleep changes but is costly and logistically burdensome, limiting large-scale tracking across adolescence.
- What they did: Participants wore the Dreem3 headband for 3–4 consecutive nights at home, and researchers estimated age trends across eight macro- and 15 micro-architecture variables with known age effects.
- The result: Some expected associations (e.g., NREM delta and theta power, time in bed) showed largely consistent effect directions, supporting wearable EEG promise while indicating further validation is needed.
The findingWhy it mattersWhat they didThe result
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