Development of large-scale functional brain networks in children.

The ontogeny of large-scale functional organization of the human brain is not well understood. Here we use network analysis of intrinsic functional connectivity to characterize the organization of brain networks in 23 children (ages 7-9 y) and 22 young-adults (ages 19-22 y). Comparison of network pr...

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Main Authors: Kaustubh Supekar, Mark Musen, Vinod Menon
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2009-07-01
Series:PLoS Biology
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/19621066/?tool=EBI
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spelling doaj-23787284f80b4d92bdbc11f60475c58d2021-07-02T17:09:56ZengPublic Library of Science (PLoS)PLoS Biology1544-91731545-78852009-07-0177e100015710.1371/journal.pbio.1000157Development of large-scale functional brain networks in children.Kaustubh SupekarMark MusenVinod MenonThe ontogeny of large-scale functional organization of the human brain is not well understood. Here we use network analysis of intrinsic functional connectivity to characterize the organization of brain networks in 23 children (ages 7-9 y) and 22 young-adults (ages 19-22 y). Comparison of network properties, including path-length, clustering-coefficient, hierarchy, and regional connectivity, revealed that although children and young-adults' brains have similar "small-world" organization at the global level, they differ significantly in hierarchical organization and interregional connectivity. We found that subcortical areas were more strongly connected with primary sensory, association, and paralimbic areas in children, whereas young-adults showed stronger cortico-cortical connectivity between paralimbic, limbic, and association areas. Further, combined analysis of functional connectivity with wiring distance measures derived from white-matter fiber tracking revealed that the development of large-scale brain networks is characterized by weakening of short-range functional connectivity and strengthening of long-range functional connectivity. Importantly, our findings show that the dynamic process of over-connectivity followed by pruning, which rewires connectivity at the neuronal level, also operates at the systems level, helping to reconfigure and rebalance subcortical and paralimbic connectivity in the developing brain. Our study demonstrates the usefulness of network analysis of brain connectivity to elucidate key principles underlying functional brain maturation, paving the way for novel studies of disrupted brain connectivity in neurodevelopmental disorders such as autism.https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/19621066/?tool=EBI
collection DOAJ
language English
format Article
sources DOAJ
author Kaustubh Supekar
Mark Musen
Vinod Menon
spellingShingle Kaustubh Supekar
Mark Musen
Vinod Menon
Development of large-scale functional brain networks in children.
PLoS Biology
author_facet Kaustubh Supekar
Mark Musen
Vinod Menon
author_sort Kaustubh Supekar
title Development of large-scale functional brain networks in children.
title_short Development of large-scale functional brain networks in children.
title_full Development of large-scale functional brain networks in children.
title_fullStr Development of large-scale functional brain networks in children.
title_full_unstemmed Development of large-scale functional brain networks in children.
title_sort development of large-scale functional brain networks in children.
publisher Public Library of Science (PLoS)
series PLoS Biology
issn 1544-9173
1545-7885
publishDate 2009-07-01
description The ontogeny of large-scale functional organization of the human brain is not well understood. Here we use network analysis of intrinsic functional connectivity to characterize the organization of brain networks in 23 children (ages 7-9 y) and 22 young-adults (ages 19-22 y). Comparison of network properties, including path-length, clustering-coefficient, hierarchy, and regional connectivity, revealed that although children and young-adults' brains have similar "small-world" organization at the global level, they differ significantly in hierarchical organization and interregional connectivity. We found that subcortical areas were more strongly connected with primary sensory, association, and paralimbic areas in children, whereas young-adults showed stronger cortico-cortical connectivity between paralimbic, limbic, and association areas. Further, combined analysis of functional connectivity with wiring distance measures derived from white-matter fiber tracking revealed that the development of large-scale brain networks is characterized by weakening of short-range functional connectivity and strengthening of long-range functional connectivity. Importantly, our findings show that the dynamic process of over-connectivity followed by pruning, which rewires connectivity at the neuronal level, also operates at the systems level, helping to reconfigure and rebalance subcortical and paralimbic connectivity in the developing brain. Our study demonstrates the usefulness of network analysis of brain connectivity to elucidate key principles underlying functional brain maturation, paving the way for novel studies of disrupted brain connectivity in neurodevelopmental disorders such as autism.
url https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/19621066/?tool=EBI
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