Somatomotor disconnection links sleep duration with socioeconomic context, screen time, cognition, and psychopathology

bioRxiv [Preprint]. 2024 Oct 29:2024.10.29.620865. doi: 10.1101/2024.10.29.620865.

Abstract

Background: Sleep is critical for healthy brain development and emotional wellbeing, especially during adolescence when sleep, behavior, and neurobiology are rapidly evolving. Theoretical reviews and empirical research have historically focused on how sleep influences mental health through its impact on higher-order brain systems. No studies have leveraged data-driven network neuroscience methods to uncover interpretable, brain-wide signatures of sleep duration in adolescence, their socio-environmental origins, or their consequences for cognition and mental health.

Methods: Here, we implement graph theory and component-based predictive modeling to examine how a multimodal index of sleep duration is associated with intrinsic brain architecture in 3,173 youth (11-12 years) from the Adolescent Brain Cognitive DevelopmentSM Study.

Results: We demonstrate that network integration/segregation exhibit a strong, generalizable multivariate association with sleep duration. We next identify a single component of brain architecture centered on a single network as the dominant contributor of this relationship. This component is characterized by increasing disconnection of a lower-order system - the somatomotor network - from other systems, with shorter sleep duration. Finally, greater somatomotor disconnection is associated with lower socioeconomic resources, longer screen times, reduced cognitive/academic performance, and elevated externalizing problems.

Conclusions: These findings reveal a novel neural signature of shorter sleep in adolescence that is intertwined with environmental risk, cognition, and psychopathology. By robustly elucidating the key involvement of an understudied brain system in sleep, cognition, and psychopathology, this study can inform theoretical and translational research directions on sleep to promote neurobehavioral development and mental health during the adolescent transition.

Keywords: brain development; graph theory; multivariate predictive modeling; risk and resilience; sleep duration; somatomotor disconnection.

Publication types

  • Preprint

Grants and funding

CM was supported by the Marshall M. Weinberg Fellowship in Cognitive Science. ASW was supported by K23 DA051561, R21 MH130939, and R01 MH130348. KLM and MFM were supported by T32 AA007477. OK was supported by K01DA059598. MMH was supported by U01DA041106. CS was supported by R01 MH123458 and U01DA041106. The ABCD Study is supported by the National Institutes of Health and additional federal partners under award numbers U01DA041022, U01DA041028, U01DA041048, U01DA041089, U01DA041106, U01DA041117, U01DA041120, U01DA041134, U01DA041148, U01DA041156, U01DA041174, U24DA041123, and U24DA041147.