Associations between brain structure and sleep patterns across adolescent development. Issue 10 (10th May 2021)

• Record Type: Journal Article
• Authors: Jalbrzikowski, Maria; Hayes, Rebecca A; Scully, Kathleen E; Franzen, Peter L; Hasler, Brant P; Siegle, Greg J; Buysse, Daniel J; Dahl, Ronald E; Forbes, Erika E; Ladouceur, Cecile D; McMakin, Dana L; Ryan, Neal D; Silk, Jennifer S; Goldstein, Tina R; Soehner, Adriane M
• Is Part Of: Sleep. Volume 44:Issue 10(2021)
• Publication Date: 2021-05-10
• Subjects: sleep -- gray matter structure -- actigraphy; Sleep -- Physiological aspects -- Periodicals; Sleep disorders -- Periodicals; Sommeil -- Aspect physiologique -- Périodiques; Sommeil, Troubles du -- Périodiques; Sleep disorders; Sleep -- Physiological aspects; Sleep -- physiological aspects; Sleep Wake Disorders; Psychophysiology; Electronic journals; Periodicals; 616.8498
• DOI: 10.1093/sleep/zsab120
• Languages: English
• ISSNs: 0161-8105

Abstract

Abstract: Study Objectives: Structural brain maturation and sleep are complex processes that exhibit significant changes over adolescence and are linked to many physical and mental health outcomes. We investigated whether sleep–gray matter relationships are developmentally invariant (i.e. stable across age) or developmentally specific (i.e. only present during discrete time windows) from late childhood through young adulthood. Methods: We constructed the Neuroimaging and Pediatric Sleep Databank from eight research studies conducted at the University of Pittsburgh (2009–2020). Participants completed a T1-weighted structural MRI scan (sMRI) and 5–7 days of wrist actigraphy to assess naturalistic sleep. The final analytic sample consisted of 225 participants without current psychiatric diagnoses (9–25 years). We extracted cortical thickness and subcortical volumes from sMRI. Sleep patterns (duration, timing, continuity, regularity) were estimated from wrist actigraphy. Using regularized regression, we examined cross-sectional associations between sMRI measures and sleep patterns, as well as the effects of age, sex, and their interaction with sMRI measures on sleep. Results: Shorter sleep duration, later sleep timing, and poorer sleep continuity were associated with thinner cortex and altered subcortical volumes in diverse brain regions across adolescence. In a discrete subset of regions (e.g. posterior cingulate), thinner cortex was associated with these sleep patterns from late childhood through early-to-mid adolescence but not in late adolescence and young adulthood. Conclusions: In childhood and adolescence, developmentally invariant and developmentally specific associations exist between sleep patterns and gray matter structure, across brain regions linked to sensory, cognitive, and emotional processes. Sleep intervention during specific developmental periods could potentially promote healthier neurodevelopmental outcomes.