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

A Tokariev; JA Roberts; A Zalesky; X Zhao; S Vanhatalo; M Breakspear; L Cocchi

Journal article

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

A Tokariev, JA Roberts, A Zalesky, X Zhao, S Vanhatalo, M Breakspear, L Cocchi

Nature Communications | NATURE PUBLISHING GROUP | Published : 2019

DOI: 10.1038/s41467-019-10467-8

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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 funda..

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University of Melbourne Researchers

Andrew Zalesky Author

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Funding Acknowledgements

The authors thank Dr. Aulikki Lano and Dr. Mari Videman for assessing neurodevelopment of the infants, and A.J.K. Phillips for helpful comments. A.T. was supported by Finnish Cultural Foundation (Suomen Kulttuurirahasto; 00161034). A.T. and S.V. were also funded by Academy of Finland (276523 and 288220) and Sigrid Juselius Foundation (Sigrid Juseliuksen Saatio), as well as Finnish Pediatric Foundation (Lastentautien tutkimussaatio). J.A.R., A.Z., M.B. and L.C. are supported by the Australian National Health and Medical Research Council (J.A.R. 1144936 and 1145168, A.Z. 1136649, M.B. 1037196, L.C. 1099082 and 1138711). This work was also supported by the Rebecca L. Cooper Foundation (J.A.R, PG2018109) and the Australian Research Council Centre of Excellence for Integrative Brain Function (M.B., CE140100007).