- 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
- Language
- eng
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