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Ex-utero third trimester developmental changes in functional brain network organization in infants born very and extremely preterm
INTRODUCTION: The latter half of gestation is a period of rapid brain development, including the formation of fundamental functional brain network architecture. Unlike in-utero fetuses, infants born very and extremely preterm undergo these critical maturational changes in the extrauterine environmen...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10502339/ https://www.ncbi.nlm.nih.gov/pubmed/37719160 http://dx.doi.org/10.3389/fnins.2023.1214080 |
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author | Cook, Kevin M. De Asis-Cruz, Josepheen Basu, Sudeepta K. Andescavage, Nickie Murnick, Jonathan Spoehr, Emma du Plessis, Adré J. Limperopoulos, Catherine |
author_facet | Cook, Kevin M. De Asis-Cruz, Josepheen Basu, Sudeepta K. Andescavage, Nickie Murnick, Jonathan Spoehr, Emma du Plessis, Adré J. Limperopoulos, Catherine |
author_sort | Cook, Kevin M. |
collection | PubMed |
description | INTRODUCTION: The latter half of gestation is a period of rapid brain development, including the formation of fundamental functional brain network architecture. Unlike in-utero fetuses, infants born very and extremely preterm undergo these critical maturational changes in the extrauterine environment, with growing evidence suggesting this may result in altered brain networks. To date, however, the development of functional brain architecture has been unexplored. METHODS: From a prospective cohort of preterm infants, graph parameters were calculated for fMRI scans acquired prior to reaching term equivalent age. Eight graph properties were calculated, Clustering Coefficient (C), Characteristic Path Length (L), Modularity (Q), Local Efficiency (LE), Global Efficiency (GE), Normalized Clustering (λ), Normalized Path Length (γ), and Small-Worldness (σ). Properties were first compared to values generated from random and lattice networks and cost efficiency was evaluated. Subsequently, linear mixed effect models were used to assess relationship with postmenstrual age and infant sex. RESULTS: A total of 111 fMRI scans were acquired from 85 preterm infants born at a mean GA 28.93 ± 2.8. Infants displayed robust small world properties as well as both locally and globally efficient networks. Regression models found that GE increased while L, Q, λ, γ, and σ decreased with increasing postmenstrual age following multiple comparison correction (r(2)(Adj) range 0.143–0.401, p < 0048), with C and LE exhibited trending increases with age. DISCUSSION: This is the first direct investigation on the extra-uterine formation of functional brain architecture in preterm infants. Importantly, our results suggest that changes in functional architecture with increasing age exhibit a different trajectory relative to in utero fetus. Instead, they exhibit developmental changes more similar to the early postnatal period in term born infants. |
format | Online Article Text |
id | pubmed-10502339 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-105023392023-09-16 Ex-utero third trimester developmental changes in functional brain network organization in infants born very and extremely preterm Cook, Kevin M. De Asis-Cruz, Josepheen Basu, Sudeepta K. Andescavage, Nickie Murnick, Jonathan Spoehr, Emma du Plessis, Adré J. Limperopoulos, Catherine Front Neurosci Neuroscience INTRODUCTION: The latter half of gestation is a period of rapid brain development, including the formation of fundamental functional brain network architecture. Unlike in-utero fetuses, infants born very and extremely preterm undergo these critical maturational changes in the extrauterine environment, with growing evidence suggesting this may result in altered brain networks. To date, however, the development of functional brain architecture has been unexplored. METHODS: From a prospective cohort of preterm infants, graph parameters were calculated for fMRI scans acquired prior to reaching term equivalent age. Eight graph properties were calculated, Clustering Coefficient (C), Characteristic Path Length (L), Modularity (Q), Local Efficiency (LE), Global Efficiency (GE), Normalized Clustering (λ), Normalized Path Length (γ), and Small-Worldness (σ). Properties were first compared to values generated from random and lattice networks and cost efficiency was evaluated. Subsequently, linear mixed effect models were used to assess relationship with postmenstrual age and infant sex. RESULTS: A total of 111 fMRI scans were acquired from 85 preterm infants born at a mean GA 28.93 ± 2.8. Infants displayed robust small world properties as well as both locally and globally efficient networks. Regression models found that GE increased while L, Q, λ, γ, and σ decreased with increasing postmenstrual age following multiple comparison correction (r(2)(Adj) range 0.143–0.401, p < 0048), with C and LE exhibited trending increases with age. DISCUSSION: This is the first direct investigation on the extra-uterine formation of functional brain architecture in preterm infants. Importantly, our results suggest that changes in functional architecture with increasing age exhibit a different trajectory relative to in utero fetus. Instead, they exhibit developmental changes more similar to the early postnatal period in term born infants. Frontiers Media S.A. 2023-09-01 /pmc/articles/PMC10502339/ /pubmed/37719160 http://dx.doi.org/10.3389/fnins.2023.1214080 Text en Copyright © 2023 Cook, De Asis-Cruz, Basu, Andescavage, Murnick, Spoehr, du Plessis and Limperopoulos. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Neuroscience Cook, Kevin M. De Asis-Cruz, Josepheen Basu, Sudeepta K. Andescavage, Nickie Murnick, Jonathan Spoehr, Emma du Plessis, Adré J. Limperopoulos, Catherine Ex-utero third trimester developmental changes in functional brain network organization in infants born very and extremely preterm |
title | Ex-utero third trimester developmental changes in functional brain network organization in infants born very and extremely preterm |
title_full | Ex-utero third trimester developmental changes in functional brain network organization in infants born very and extremely preterm |
title_fullStr | Ex-utero third trimester developmental changes in functional brain network organization in infants born very and extremely preterm |
title_full_unstemmed | Ex-utero third trimester developmental changes in functional brain network organization in infants born very and extremely preterm |
title_short | Ex-utero third trimester developmental changes in functional brain network organization in infants born very and extremely preterm |
title_sort | ex-utero third trimester developmental changes in functional brain network organization in infants born very and extremely preterm |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10502339/ https://www.ncbi.nlm.nih.gov/pubmed/37719160 http://dx.doi.org/10.3389/fnins.2023.1214080 |
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