Cargando…

Differential age-dependent development of inter-area brain connectivity in term and preterm neonates

BACKGROUND: Among preterm infants, higher morbidities of neurological disturbances and developmental delays are critical issues. Resting-state networks (RSNs) in the brain are suitable measures for assessing higher-level neurocognition. Since investigating task-related brain activity is difficult in...

Descripción completa

Detalles Bibliográficos
Autores principales: Arimitsu, Takeshi, Shinohara, Naomi, Minagawa, Yasuyo, Hoshino, Eiichi, Hata, Masahiro, Takahashi, Takao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group US 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9586860/
https://www.ncbi.nlm.nih.gov/pubmed/35094022
http://dx.doi.org/10.1038/s41390-022-01939-7
_version_ 1784813776812376064
author Arimitsu, Takeshi
Shinohara, Naomi
Minagawa, Yasuyo
Hoshino, Eiichi
Hata, Masahiro
Takahashi, Takao
author_facet Arimitsu, Takeshi
Shinohara, Naomi
Minagawa, Yasuyo
Hoshino, Eiichi
Hata, Masahiro
Takahashi, Takao
author_sort Arimitsu, Takeshi
collection PubMed
description BACKGROUND: Among preterm infants, higher morbidities of neurological disturbances and developmental delays are critical issues. Resting-state networks (RSNs) in the brain are suitable measures for assessing higher-level neurocognition. Since investigating task-related brain activity is difficult in neonates, assessment of RSNs provides invaluable insight into their neurocognitive development. METHODS: The participants, 32 term and 71 preterm neonates, were divided into three groups based on gestational age (GA) at birth. Cerebral hemodynamic activity of RSNs was measured using functional near-infrared spectroscopy in the temporal, frontal, and parietal regions. RESULTS: High-GA preterm infants (GA ≥ 30 weeks) had a significantly stronger RSN than low-GA preterm infants and term infants. Regression analyses of RSNs as a function of postnatal age (PNA) revealed a steeper regression line in the high-GA preterm and term infants than in the low-GA infants, particularly for inter-area brain connectivity between the frontal and left temporal areas. CONCLUSIONS: Slower PNA-dependent development of the frontal–temporal network found only in the low-GA group suggests that significant brain growth optimal in the intrauterine environment takes place before 30 weeks of gestation. The present study suggests a likely reason for the high incidence of neurodevelopmental impairment in early preterm infants. IMPACT: Resting-state fNIRS measurements in three neonate groups differing in gestational age (GA) showed stronger networks in the high-GA preterm infants than in the term and low-GA infants, which was partly explained by postnatal age (PNA). Regression analyses revealed a similar PNA-dependence in the development of the inter-area networks in the frontal and temporal lobes in the high-GA and term infants, and significantly slower development in the low-GA infants. These results suggest that optimal intrauterine brain growth takes place before 30 weeks of gestation. This explains one of the reasons for the high incidence of neurodevelopmental impairment in early preterm infants.
format Online
Article
Text
id pubmed-9586860
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Nature Publishing Group US
record_format MEDLINE/PubMed
spelling pubmed-95868602022-10-23 Differential age-dependent development of inter-area brain connectivity in term and preterm neonates Arimitsu, Takeshi Shinohara, Naomi Minagawa, Yasuyo Hoshino, Eiichi Hata, Masahiro Takahashi, Takao Pediatr Res Basic Science Article BACKGROUND: Among preterm infants, higher morbidities of neurological disturbances and developmental delays are critical issues. Resting-state networks (RSNs) in the brain are suitable measures for assessing higher-level neurocognition. Since investigating task-related brain activity is difficult in neonates, assessment of RSNs provides invaluable insight into their neurocognitive development. METHODS: The participants, 32 term and 71 preterm neonates, were divided into three groups based on gestational age (GA) at birth. Cerebral hemodynamic activity of RSNs was measured using functional near-infrared spectroscopy in the temporal, frontal, and parietal regions. RESULTS: High-GA preterm infants (GA ≥ 30 weeks) had a significantly stronger RSN than low-GA preterm infants and term infants. Regression analyses of RSNs as a function of postnatal age (PNA) revealed a steeper regression line in the high-GA preterm and term infants than in the low-GA infants, particularly for inter-area brain connectivity between the frontal and left temporal areas. CONCLUSIONS: Slower PNA-dependent development of the frontal–temporal network found only in the low-GA group suggests that significant brain growth optimal in the intrauterine environment takes place before 30 weeks of gestation. The present study suggests a likely reason for the high incidence of neurodevelopmental impairment in early preterm infants. IMPACT: Resting-state fNIRS measurements in three neonate groups differing in gestational age (GA) showed stronger networks in the high-GA preterm infants than in the term and low-GA infants, which was partly explained by postnatal age (PNA). Regression analyses revealed a similar PNA-dependence in the development of the inter-area networks in the frontal and temporal lobes in the high-GA and term infants, and significantly slower development in the low-GA infants. These results suggest that optimal intrauterine brain growth takes place before 30 weeks of gestation. This explains one of the reasons for the high incidence of neurodevelopmental impairment in early preterm infants. Nature Publishing Group US 2022-01-29 2022 /pmc/articles/PMC9586860/ /pubmed/35094022 http://dx.doi.org/10.1038/s41390-022-01939-7 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Basic Science Article
Arimitsu, Takeshi
Shinohara, Naomi
Minagawa, Yasuyo
Hoshino, Eiichi
Hata, Masahiro
Takahashi, Takao
Differential age-dependent development of inter-area brain connectivity in term and preterm neonates
title Differential age-dependent development of inter-area brain connectivity in term and preterm neonates
title_full Differential age-dependent development of inter-area brain connectivity in term and preterm neonates
title_fullStr Differential age-dependent development of inter-area brain connectivity in term and preterm neonates
title_full_unstemmed Differential age-dependent development of inter-area brain connectivity in term and preterm neonates
title_short Differential age-dependent development of inter-area brain connectivity in term and preterm neonates
title_sort differential age-dependent development of inter-area brain connectivity in term and preterm neonates
topic Basic Science Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9586860/
https://www.ncbi.nlm.nih.gov/pubmed/35094022
http://dx.doi.org/10.1038/s41390-022-01939-7
work_keys_str_mv AT arimitsutakeshi differentialagedependentdevelopmentofinterareabrainconnectivityintermandpretermneonates
AT shinoharanaomi differentialagedependentdevelopmentofinterareabrainconnectivityintermandpretermneonates
AT minagawayasuyo differentialagedependentdevelopmentofinterareabrainconnectivityintermandpretermneonates
AT hoshinoeiichi differentialagedependentdevelopmentofinterareabrainconnectivityintermandpretermneonates
AT hatamasahiro differentialagedependentdevelopmentofinterareabrainconnectivityintermandpretermneonates
AT takahashitakao differentialagedependentdevelopmentofinterareabrainconnectivityintermandpretermneonates