The maturation and cognitive relevance of structural brain network organization from early infancy to childhood

•Cortical thickness networks were mapped longitudinally from infancy to six years.•Brain network segregation increased between early infancy and six years.•Brain networks became less integrated across the first six years of life.•Brain maturation across the first year related to motor learning at 8–...

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Published inNeuroImage (Orlando, Fla.) Vol. 238; p. 118232
Main Authors Woodburn, Mackenzie, Bricken, Cheyenne L., Wu, Zhengwang, Li, Gang, Wang, Li, Lin, Weili, Sheridan, Margaret A., Cohen, Jessica R.
Format Journal Article
LanguageEnglish
Published Amsterdam Elsevier Inc 01.09.2021
Elsevier Limited
Elsevier
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Online AccessGet full text
ISSN1053-8119
1095-9572
1095-9572
DOI10.1016/j.neuroimage.2021.118232

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Summary:•Cortical thickness networks were mapped longitudinally from infancy to six years.•Brain network segregation increased between early infancy and six years.•Brain networks became less integrated across the first six years of life.•Brain maturation across the first year related to motor learning at 8–10 years. 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.
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Conceptualization: M.A.W., W.L., M.A.S., and J.R.C.; Methodology: M.A.W., Z.W., G.L., L.W., W.L., M.A.S., and J.R.C.; Formal analysis: M.A.W.; Investigation: M.A.W., C.L.B., W.L., M.A.S., and J.R.C.; Writing – Original Draft: M.A.W., M.A.S., and J.R.C.; Writing – Review & Editing: M.A.W., Z.W., G.L., L.W., W.L., M.A.S., and J.R.C; Visualization: M.A.W.; Supervision: W.L., M.A.S., and J.R.C.; Project Administration: W.L., M.A.S., and J.R.C.; Funding Acquisition: G.L., L.W., W.L., M.A.S., and J.R.C.
Author contributions
ISSN:1053-8119
1095-9572
1095-9572
DOI:10.1016/j.neuroimage.2021.118232