- Title
- Large-scale brain modes reorganize between infant sleep states and carry prognostic information for preterms
- Creator
- Tokariev, Anton; Roberts, James A.; Zalesky, Andrew; Zhao, Xuelong; Vanhatalo, Sampsa; Breakspear, Michael; Cocchi, Luca
- Relation
- ARC.CE140100007 http://purl.org/au-research/grants/arc/CE140100007
- Relation
- Nature Communications Vol. 10, Issue 1, no. 2619
- Publisher Link
- http://dx.doi.org/10.1038/s41467-019-10467-8
- Publisher
- Nature Publishing Group
- Resource Type
- journal article
- Date
- 2019
- Description
- 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.
- Subject
- brain health; newborn infant; sleep; brain states
- Identifier
- http://hdl.handle.net/1959.13/1444443
- Identifier
- uon:42303
- Identifier
- ISSN:2041-1723
- Rights
- © The Author(s) 2019. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
- Language
- eng
- Full Text
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