Large-scale brain modes reorganize between infant sleep states and carry prognostic information for preterms

Anton Tokariev (), James A. Roberts, Andrew Zalesky, Xuelong Zhao, Sampsa Vanhatalo, Michael Breakspear and Luca Cocchi ()
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Anton Tokariev: QIMR Berghofer Medical Research Institute
James A. Roberts: QIMR Berghofer Medical Research Institute
Andrew Zalesky: University of Melbourne
Xuelong Zhao: University of Pennsylvania
Sampsa Vanhatalo: University of Helsinki
Michael Breakspear: QIMR Berghofer Medical Research Institute
Luca Cocchi: QIMR Berghofer Medical Research Institute

Nature Communications, 2019, vol. 10, issue 1, 1-9

Abstract: Abstract Sleep architecture carries vital information about brain health across the lifespan. In particular, the ability to express distinct vigilance states is a key physiological marker of neurological wellbeing in the newborn infant although systems-level mechanisms remain elusive. Here, we demonstrate that the transition from quiet to active sleep in newborn infants is marked by a substantial reorganization of large-scale cortical activity and functional brain networks. This reorganization is attenuated in preterm infants and predicts visual performance at two years. We find a striking match between these empirical effects and a computational model of large-scale brain states which uncovers fundamental biophysical mechanisms not evident from inspection of the data. Active sleep is defined by reduced energy in a uniform mode of neural activity and increased energy in two more complex anteroposterior modes. Preterm-born infants show a deficit in this sleep-related reorganization of modal energy that carries novel prognostic information.

Date: 2019
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DOI: 10.1038/s41467-019-10467-8

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