The maturation and cognitive relevance of structural brain network organization from early infancy to childhood
The interactions of brain regions with other regions at the network level likely provide the infrastructure necessary for cognitive processes to develop. Specifically, it has been theorized that in infancy brain networks become more modular, or segregated, to support early cognitive specialization,...
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doaj-56dfda2dc6f54cb58942347c509bffee2021-07-25T04:42:03ZengElsevierNeuroImage1095-95722021-09-01238118232The maturation and cognitive relevance of structural brain network organization from early infancy to childhoodMackenzie Woodburn0Cheyenne L. Bricken1Zhengwang Wu2Gang Li3Li Wang4Weili Lin5Margaret A. Sheridan6Jessica R. Cohen7Department of Psychology & Neuroscience, University of North Carolina, Chapel Hill, United States; Corresponding author.Department of Psychology & Neuroscience, University of North Carolina, Chapel Hill, United StatesBiomedical Research Imaging Center, University of North Carolina, Chapel Hill, United States; Department of Radiology, University of North Carolina, Chapel Hill, United StatesBiomedical Research Imaging Center, University of North Carolina, Chapel Hill, United States; Department of Radiology, University of North Carolina, Chapel Hill, United StatesBiomedical Research Imaging Center, University of North Carolina, Chapel Hill, United States; Department of Radiology, University of North Carolina, Chapel Hill, United StatesBiomedical Research Imaging Center, University of North Carolina, Chapel Hill, United States; Department of Radiology, University of North Carolina, Chapel Hill, United StatesDepartment of Psychology & Neuroscience, University of North Carolina, Chapel Hill, United States; Biomedical Research Imaging Center, University of North Carolina, Chapel Hill, United States; Carolina Institute of Developmental Disabilities, University of North Carolina, Chapel Hill, United StatesDepartment of Psychology & Neuroscience, University of North Carolina, Chapel Hill, United States; Biomedical Research Imaging Center, University of North Carolina, Chapel Hill, United States; Carolina Institute of Developmental Disabilities, University of North Carolina, Chapel Hill, United StatesThe interactions of brain regions with other regions at the network level likely provide the infrastructure necessary for cognitive processes to develop. Specifically, it has been theorized that in infancy brain networks become more modular, or segregated, to support early cognitive specialization, before integration across networks increases to support the emergence of higher-order cognition. The present study examined the maturation of structural covariance networks (SCNs) derived from longitudinal cortical thickness data collected between infancy and childhood (0–6 years). We assessed modularity as a measure of network segregation and global efficiency as a measure of network integration. At the group level, we observed trajectories of increasing modularity and decreasing global efficiency between early infancy and six years. We further examined subject-based maturational coupling networks (sbMCNs) in a subset of this cohort with cognitive outcome data at 8–10 years, which allowed us to relate the network organization of longitudinal cortical thickness maturation to cognitive outcomes in middle childhood. We found that lower global efficiency of sbMCNs throughout early development (across the first year) related to greater motor learning at 8–10 years. Together, these results provide novel evidence characterizing the maturation of brain network segregation and integration across the first six years of life, and suggest that specific trajectories of brain network maturation contribute to later cognitive outcomes.http://www.sciencedirect.com/science/article/pii/S1053811921005097Early brain developmentLongitudinal MRIStructural covariance networksMaturational couplingCognition |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Mackenzie Woodburn Cheyenne L. Bricken Zhengwang Wu Gang Li Li Wang Weili Lin Margaret A. Sheridan Jessica R. Cohen |
spellingShingle |
Mackenzie Woodburn Cheyenne L. Bricken Zhengwang Wu Gang Li Li Wang Weili Lin Margaret A. Sheridan Jessica R. Cohen The maturation and cognitive relevance of structural brain network organization from early infancy to childhood NeuroImage Early brain development Longitudinal MRI Structural covariance networks Maturational coupling Cognition |
author_facet |
Mackenzie Woodburn Cheyenne L. Bricken Zhengwang Wu Gang Li Li Wang Weili Lin Margaret A. Sheridan Jessica R. Cohen |
author_sort |
Mackenzie Woodburn |
title |
The maturation and cognitive relevance of structural brain network organization from early infancy to childhood |
title_short |
The maturation and cognitive relevance of structural brain network organization from early infancy to childhood |
title_full |
The maturation and cognitive relevance of structural brain network organization from early infancy to childhood |
title_fullStr |
The maturation and cognitive relevance of structural brain network organization from early infancy to childhood |
title_full_unstemmed |
The maturation and cognitive relevance of structural brain network organization from early infancy to childhood |
title_sort |
maturation and cognitive relevance of structural brain network organization from early infancy to childhood |
publisher |
Elsevier |
series |
NeuroImage |
issn |
1095-9572 |
publishDate |
2021-09-01 |
description |
The interactions of brain regions with other regions at the network level likely provide the infrastructure necessary for cognitive processes to develop. Specifically, it has been theorized that in infancy brain networks become more modular, or segregated, to support early cognitive specialization, before integration across networks increases to support the emergence of higher-order cognition. The present study examined the maturation of structural covariance networks (SCNs) derived from longitudinal cortical thickness data collected between infancy and childhood (0–6 years). We assessed modularity as a measure of network segregation and global efficiency as a measure of network integration. At the group level, we observed trajectories of increasing modularity and decreasing global efficiency between early infancy and six years. We further examined subject-based maturational coupling networks (sbMCNs) in a subset of this cohort with cognitive outcome data at 8–10 years, which allowed us to relate the network organization of longitudinal cortical thickness maturation to cognitive outcomes in middle childhood. We found that lower global efficiency of sbMCNs throughout early development (across the first year) related to greater motor learning at 8–10 years. Together, these results provide novel evidence characterizing the maturation of brain network segregation and integration across the first six years of life, and suggest that specific trajectories of brain network maturation contribute to later cognitive outcomes. |
topic |
Early brain development Longitudinal MRI Structural covariance networks Maturational coupling Cognition |
url |
http://www.sciencedirect.com/science/article/pii/S1053811921005097 |
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