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Dataset Information

Using a wearable EEG device to examine age trends in sleep macro- and micro-architecture across adolescence.


ABSTRACT:

Study objectives

Adolescence is a period of distinct maturational changes in sleep characteristics. Historically, age trends in sleep physiology have been captured using laboratory-based polysomnography (PSG). However, multiple challenges associated with PSG, including logistical issues, budgetary constraints and ecological validity questions, limit large-scale use. The current study aims to address these challenges by using the Dreem3 headband to measure sleep at home and replicate well-established age-related trends in sleep physiology from late childhood through early adulthood.

Methods

100 typically developing youth (9-26 years) wore a sleep electroencephalography (EEG) device (Dreem3) for 3-4 consecutive nights at home. Sleep EEG data were processed using the Luna

SUBMITTER: Lokhandwala S 

PROVIDER: S-EPMC12632760 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature