Nature Communications (Dec 2023)

Opposing brain signatures of sleep in task-based and resting-state conditions

  • Mohamed Abdelhack,
  • Peter Zhukovsky,
  • Milos Milic,
  • Shreyas Harita,
  • Michael Wainberg,
  • Shreejoy J. Tripathy,
  • John D. Griffiths,
  • Sean L. Hill,
  • Daniel Felsky

DOI
https://doi.org/10.1038/s41467-023-43737-7
Journal volume & issue
Vol. 14, no. 1
pp. 1 – 14

Abstract

Read online

Abstract Sleep and depression have a complex, bidirectional relationship, with sleep-associated alterations in brain dynamics and structure impacting a range of symptoms and cognitive abilities. Previous work describing these relationships has provided an incomplete picture by investigating only one or two types of sleep measures, depression, or neuroimaging modalities in parallel. We analyze the correlations between brainwide neural signatures of sleep, cognition, and depression in task and resting-state data from over 30,000 individuals from the UK Biobank and Human Connectome Project. Neural signatures of insomnia and depression are negatively correlated with those of sleep duration measured by accelerometer in the task condition but positively correlated in the resting-state condition. Our results show that resting-state neural signatures of insomnia and depression resemble that of rested wakefulness. This is further supported by our finding of hypoconnectivity in task but hyperconnectivity in resting-state data in association with insomnia and depression. These observations dispute conventional assumptions about the neurofunctional manifestations of hyper- and hypo-somnia, and may explain inconsistent findings in the literature.