State-dependent inter-network functional connectivity development in neonatal brain from the developing human connectome project

Although recent studies have consistently reported the emergence of resting-state networks in early infancy, the changes in inter-network functional connectivity with age are controversial and the alterations in its dynamics remain unclear at this stage. This study aimed to investigate dynamic funct...

Full description

Saved in:
Bibliographic Details
Main Authors: Zhiyong Zhao, Ruolin Li, Yihan Wu, Mingyang Li, Dan Wu
Format: Article
Language:English
Published: Elsevier 2025-01-01
Series:Developmental Cognitive Neuroscience
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S1878929324001579
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1832591832402362368
author Zhiyong Zhao
Ruolin Li
Yihan Wu
Mingyang Li
Dan Wu
author_facet Zhiyong Zhao
Ruolin Li
Yihan Wu
Mingyang Li
Dan Wu
author_sort Zhiyong Zhao
collection DOAJ
description Although recent studies have consistently reported the emergence of resting-state networks in early infancy, the changes in inter-network functional connectivity with age are controversial and the alterations in its dynamics remain unclear at this stage. This study aimed to investigate dynamic functional network connectivity (dFNC) using resting-state functional MRI in 244 full-term (age: 37–44 weeks) and 36 preterm infants (age: 37–43 weeks) from the dHCP dataset. We evaluated whether early dFNC exhibits age-dependent changes and is influenced by preterm birth. Gestational age (GA) and postnatal age (PNA) showed different effects on variance of FNC change over time during fMRI scan in resting-state networks, especially among high-order association networks. These variances were significantly reduced by preterm birth. Moreover, two states of weakly-connected (State Ⅰ) and strongly-connected (State Ⅱ) FNC were identified. The fraction window and dwell time in State Ⅰ, and the transition from State Ⅱ to State Ⅰ, all showed significantly negative correlations with both GA and PNA. Preterm-born infants spent a longer time in the weakly-connected state compared to term-born infants. These findings suggest a state-dependent development of dynamic FNC across brain networks in the early stages, gradually reconfiguring towards a more flexible and dynamic system with stronger connections.
format Article
id doaj-art-4161e36a1ad24dea828f54fad5c1da8c
institution Kabale University
issn 1878-9293
language English
publishDate 2025-01-01
publisher Elsevier
record_format Article
series Developmental Cognitive Neuroscience
spelling doaj-art-4161e36a1ad24dea828f54fad5c1da8c2025-01-22T05:41:19ZengElsevierDevelopmental Cognitive Neuroscience1878-92932025-01-0171101496State-dependent inter-network functional connectivity development in neonatal brain from the developing human connectome projectZhiyong Zhao0Ruolin Li1Yihan Wu2Mingyang Li3Dan Wu4Department of Radiology, Children’s Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, ChinaDepartment of Radiology, Children’s Hospital of Philadelphia, Philadelphia, USADepartment of Biomedical Engineering, Johns Hopkins University, USAKey Laboratory for Biomedical Engineering of Ministry of Education, Department of Biomedical Engineering, College of Biomedical Engineering & Instrument Science, Zhejiang University, Hangzhou, ChinaKey Laboratory for Biomedical Engineering of Ministry of Education, Department of Biomedical Engineering, College of Biomedical Engineering & Instrument Science, Zhejiang University, Hangzhou, China; Correspondence to: Key Laboratory for Biomedical Engineering of Ministry of Education, Department of Biomedical Engineering, College of Biomedical Engineering & Instrument Science, Zhejiang University, Room 525, Zhou Yiqing Building, Yuquan Campus, Hangzhou 310027, China.Although recent studies have consistently reported the emergence of resting-state networks in early infancy, the changes in inter-network functional connectivity with age are controversial and the alterations in its dynamics remain unclear at this stage. This study aimed to investigate dynamic functional network connectivity (dFNC) using resting-state functional MRI in 244 full-term (age: 37–44 weeks) and 36 preterm infants (age: 37–43 weeks) from the dHCP dataset. We evaluated whether early dFNC exhibits age-dependent changes and is influenced by preterm birth. Gestational age (GA) and postnatal age (PNA) showed different effects on variance of FNC change over time during fMRI scan in resting-state networks, especially among high-order association networks. These variances were significantly reduced by preterm birth. Moreover, two states of weakly-connected (State Ⅰ) and strongly-connected (State Ⅱ) FNC were identified. The fraction window and dwell time in State Ⅰ, and the transition from State Ⅱ to State Ⅰ, all showed significantly negative correlations with both GA and PNA. Preterm-born infants spent a longer time in the weakly-connected state compared to term-born infants. These findings suggest a state-dependent development of dynamic FNC across brain networks in the early stages, gradually reconfiguring towards a more flexible and dynamic system with stronger connections.http://www.sciencedirect.com/science/article/pii/S1878929324001579NeonateResting-state networkDynamic functional connectivityState-dependentPretermDHCP
spellingShingle Zhiyong Zhao
Ruolin Li
Yihan Wu
Mingyang Li
Dan Wu
State-dependent inter-network functional connectivity development in neonatal brain from the developing human connectome project
Developmental Cognitive Neuroscience
Neonate
Resting-state network
Dynamic functional connectivity
State-dependent
Preterm
DHCP
title State-dependent inter-network functional connectivity development in neonatal brain from the developing human connectome project
title_full State-dependent inter-network functional connectivity development in neonatal brain from the developing human connectome project
title_fullStr State-dependent inter-network functional connectivity development in neonatal brain from the developing human connectome project
title_full_unstemmed State-dependent inter-network functional connectivity development in neonatal brain from the developing human connectome project
title_short State-dependent inter-network functional connectivity development in neonatal brain from the developing human connectome project
title_sort state dependent inter network functional connectivity development in neonatal brain from the developing human connectome project
topic Neonate
Resting-state network
Dynamic functional connectivity
State-dependent
Preterm
DHCP
url http://www.sciencedirect.com/science/article/pii/S1878929324001579
work_keys_str_mv AT zhiyongzhao statedependentinternetworkfunctionalconnectivitydevelopmentinneonatalbrainfromthedevelopinghumanconnectomeproject
AT ruolinli statedependentinternetworkfunctionalconnectivitydevelopmentinneonatalbrainfromthedevelopinghumanconnectomeproject
AT yihanwu statedependentinternetworkfunctionalconnectivitydevelopmentinneonatalbrainfromthedevelopinghumanconnectomeproject
AT mingyangli statedependentinternetworkfunctionalconnectivitydevelopmentinneonatalbrainfromthedevelopinghumanconnectomeproject
AT danwu statedependentinternetworkfunctionalconnectivitydevelopmentinneonatalbrainfromthedevelopinghumanconnectomeproject