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

Author

Listed:
  • Anton Tokariev

    (QIMR Berghofer Medical Research Institute
    University of Helsinki
    Helsinki University Central Hospital)

  • James A. Roberts

    (QIMR Berghofer Medical Research Institute)

  • Andrew Zalesky

    (University of Melbourne
    University of Melbourne)

  • Xuelong Zhao

    (University of Pennsylvania)

  • Sampsa Vanhatalo

    (University of Helsinki
    Helsinki University Central Hospital)

  • Michael Breakspear

    (QIMR Berghofer Medical Research Institute
    University of Newcastle)

  • Luca Cocchi

    (QIMR Berghofer Medical Research Institute
    University of Queensland)

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.

Suggested Citation

  • Anton Tokariev & James A. Roberts & Andrew Zalesky & Xuelong Zhao & Sampsa Vanhatalo & Michael Breakspear & Luca Cocchi, 2019. "Large-scale brain modes reorganize between infant sleep states and carry prognostic information for preterms," Nature Communications, Nature, vol. 10(1), pages 1-9, December.
    • Handle: RePEc:nat:natcom:v:10:y:2019:i:1:d:10.1038_s41467-019-10467-8
    DOI: 10.1038/s41467-019-10467-8
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    Cited by:

    1. Lucas G. S. França & Judit Ciarrusta & Oliver Gale-Grant & Sunniva Fenn-Moltu & Sean Fitzgibbon & Andrew Chew & Shona Falconer & Ralica Dimitrova & Lucilio Cordero-Grande & Anthony N. Price & Emer Hug, 2024. "Neonatal brain dynamic functional connectivity in term and preterm infants and its association with early childhood neurodevelopment," Nature Communications, Nature, vol. 15(1), pages 1-15, December.

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