Bedside functional monitoring of the dynamic brain connectivity in human neonates

Jerome Baranger (), Charlie Demene, Alice Frerot, Flora Faure, Catherine Delanoë, Hicham Serroune, Alexandre Houdouin, Jerome Mairesse, Valerie Biran, Olivier Baud () and Mickael Tanter ()
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Jerome Baranger: PSL University
Charlie Demene: PSL University
Alice Frerot: Assistance Publique-Hôpitaux de Paris, Neonatal intensive care unit, Robert Debré children’s hospital
Flora Faure: PSL University
Catherine Delanoë: Assistance Publique Hôpitaux de Paris, Neurophysiology Unit, Robert Debré Children’s hospital
Hicham Serroune: PSL University
Alexandre Houdouin: PSL University
Jerome Mairesse: University of Paris
Valerie Biran: Assistance Publique-Hôpitaux de Paris, Neonatal intensive care unit, Robert Debré children’s hospital
Olivier Baud: Assistance Publique-Hôpitaux de Paris, Neonatal intensive care unit, Robert Debré children’s hospital
Mickael Tanter: PSL University

Nature Communications, 2021, vol. 12, issue 1, 1-10

Abstract: 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.

Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:12:y:2021:i:1:d:10.1038_s41467-021-21387-x

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DOI: 10.1038/s41467-021-21387-x

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