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Disrupted resting-sate brain network dynamics in children born extremely preterm

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  • Nelly Padilla, Karolinska Institutet
  • ,
  • Anira Escrichs, Pompeu Fabra University
  • ,
  • Elvira Del Agua, Pompeu Fabra University
  • ,
  • Morten Kringelbach
  • Antonio Donaire, University of Barcelona, Carlos III Health Institute (ISCIII) (CIBER)
  • ,
  • Gustavo Deco, Pompeu Fabra University, Monash University, ICREA, Max Planck Institute for Human Cognitive and Brain Sciences
  • ,
  • Ulrika Åden, Karolinska Institutet, Linköping University

The developing brain has to adapt to environmental and intrinsic insults after extremely preterm (EPT) birth. Ongoing maturational processes maximize their fit to the environment and this can provide a substrate for neurodevelopmental failures. Resting-state functional magnetic resonance imaging was used to scan 33 children born EPT, at < 27 weeks of gestational age, and 26 full-term controls at 10 years of age. We studied the capability of a brain area to propagate neural information (intrinsic ignition) and its variability across time (node-metastability). This framework was computed for the dorsal attention network (DAN), frontoparietal, default-mode network (DMN), and the salience, limbic, visual, and somatosensory networks. The EPT group showed reduced intrinsic ignition in the DMN and DAN, compared with the controls, and reduced node-metastability in the DMN, DAN, and salience networks. Intrinsic ignition and node-metastability values correlated with cognitive performance at 12 years of age in both groups, but only survived in the term group after adjustment. Preterm birth disturbed the signatures of functional brain organization at rest in 3 core high-order networks: DMN, salience, and DAN. Identifying vulnerable resting-state networks after EPT birth may lead to interventions that aim to rebalance brain function.

Original languageEnglish
JournalCerebral Cortex
Pages (from-to)8101-8109
Number of pages9
Publication statusPublished - Jul 2023

Bibliographical note

Publisher Copyright:
© 2023 The Author(s). Published by Oxford University Press.

    Research areas

  • brain development, brain network dynamic, cognitive neurodevelopment, extreme prematurity

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