en
Scientific article
Open access
English

Bedside functional monitoring of the dynamic brain connectivity in human neonates

Published inNature Communications, vol. 12, no. 1, 1080
Publication date2021
Abstract

Clinicians have long been interested in functional brain monitoring, as reversible functional losses often precedes observable irreversible structural insults. By characterizing neonatal functional cerebral networks, resting-state functional connectivity is envisioned to provide early markers of cognitive impairments. Here we present a pioneering bedside deep brain resting-state functional connectivity imaging at 250-μm resolution on human neonates using functional ultrasound. Signal correlations between cerebral regions unveil interhemispheric connectivity in very preterm newborns. Furthermore, fine-grain correlations between homologous pixels are consistent with white/grey matter organization. Finally, dynamic resting-state connectivity reveals a significant occurrence decrease of thalamo-cortical networks for very preterm neonates as compared to control term newborns. The same method also shows abnormal patterns in a congenital seizure disorder case compared with the control group. These results pave the way to infants' brain continuous monitoring and may enable the identification of abnormal brain development at the bedside.

Keywords
  • Algorithms
  • Brain/diagnostic imaging/physiopathology
  • Cerebral Cortex/diagnostic imaging/physiopathology
  • Epilepsy/diagnosis/diagnostic imaging/physiopathology
  • Female
  • Gray Matter/diagnostic imaging/physiopathology
  • Humans
  • Infant, Newborn
  • Infant, Premature
  • Magnetic Resonance Imaging/methods
  • Male
  • Models, Neurological
  • Nerve Net/diagnostic imaging/physiopathology
  • Ultrasonography, Doppler/methods
  • White Matter/diagnostic imaging/physiopathology
Funding
  • European Commission - 339244-FUSIMAGINE
Citation (ISO format)
BARANGER, Jerome et al. Bedside functional monitoring of the dynamic brain connectivity in human neonates. In: Nature Communications, 2021, vol. 12, n° 1, p. 1080. doi: 10.1038/s41467-021-21387-x
Main files (1)
Article (Published version)
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Identifiers
ISSN of the journal2041-1723
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Technical informations

Creation08/25/2021 9:00:00 AM
First validation08/25/2021 9:00:00 AM
Update time03/16/2023 1:43:23 AM
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