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Nat Commun ; 12(1): 1080, 2021 02 17.
Article in English | MEDLINE | ID: mdl-33597538

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.


Subject(s)
Brain/diagnostic imaging , Cerebral Cortex/diagnostic imaging , Epilepsy/diagnostic imaging , Gray Matter/diagnostic imaging , White Matter/diagnostic imaging , Algorithms , Brain/physiopathology , Cerebral Cortex/physiopathology , Epilepsy/diagnosis , Epilepsy/physiopathology , Female , Gray Matter/physiopathology , Humans , Infant, Newborn , Infant, Premature , Magnetic Resonance Imaging/methods , Male , Models, Neurological , Nerve Net/diagnostic imaging , Nerve Net/physiopathology , Ultrasonography, Doppler/methods , White Matter/physiopathology
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