Network Neuroscience (Jan 2023)

Reconfigurations in brain networks upon awakening from slow wave sleep: Interventions and implications in neural communication

  • Cassie J. Hilditch,
  • Kanika Bansal,
  • Ravi Chachad,
  • Lily R. Wong,
  • Nicholas G. Bathurst,
  • Nathan H. Feick,
  • Amanda Santamaria,
  • Nita L. Shattuck,
  • Javier O. Garcia,
  • Erin E. Flynn-Evans

DOI
https://doi.org/10.1162/netn_a_00272
Journal volume & issue
Vol. 7, no. 1
pp. 102 – 121

Abstract

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AbstractSleep inertia is the brief period of impaired alertness and performance experienced immediately after waking. Little is known about the neural mechanisms underlying this phenomenon. A better understanding of the neural processes during sleep inertia may offer insight into the awakening process. We observed brain activity every 15 min for 1 hr following abrupt awakening from slow wave sleep during the biological night. Using 32-channel electroencephalography, a network science approach, and a within-subject design, we evaluated power, clustering coefficient, and path length across frequency bands under both a control and a polychromatic short-wavelength-enriched light intervention condition. We found that under control conditions, the awakening brain is typified by an immediate reduction in global theta, alpha, and beta power. Simultaneously, we observed a decrease in the clustering coefficient and an increase in path length within the delta band. Exposure to light immediately after awakening ameliorated changes in clustering. Our results suggest that long-range network communication within the brain is crucial to the awakening process and that the brain may prioritize these long-range connections during this transitional state. Our study highlights a novel neurophysiological signature of the awakening brain and provides a potential mechanism by which light improves performance after waking.