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Topological segregation of functional networks increases in developing brains

View ORCID ProfileWei He, View ORCID ProfilePaul F. Sowman, Jon Brock, Andrew C. Etchell, Cornelis J. Stam, Arjan Hillebrand
doi: https://doi.org/10.1101/378562
Wei He
1Department of Cognitive Science, Macquarie University, 16 University Avenue, Sydney, Australia
2Australian Research Council Centre of Excellence in Cognition and Its Disorders, 16 University Avenue, Sydney, Australia
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Paul F. Sowman
1Department of Cognitive Science, Macquarie University, 16 University Avenue, Sydney, Australia
2Australian Research Council Centre of Excellence in Cognition and Its Disorders, 16 University Avenue, Sydney, Australia
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Jon Brock
2Australian Research Council Centre of Excellence in Cognition and Its Disorders, 16 University Avenue, Sydney, Australia
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Andrew C. Etchell
2Australian Research Council Centre of Excellence in Cognition and Its Disorders, 16 University Avenue, Sydney, Australia
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Cornelis J. Stam
3Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Clinical Neurophysiology and MEG Center, Amsterdam Neuroscience, De Boelelaan 1117, Amsterdam, The Netherlands
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Arjan Hillebrand
3Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Clinical Neurophysiology and MEG Center, Amsterdam Neuroscience, De Boelelaan 1117, Amsterdam, The Netherlands
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  • For correspondence: wei.he@mq.edu.au
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Abstract

A growing literature conceptualises human brain development from a network perspective, but it remains unknown how functional brain networks are refined during the preschool years. The extant literature diverges in its characterisation of functional network development, with little agreement between haemodynamic- and electrophysiology-based measures. In children aged from 4 to 12 years, as well as adults, age appropriate magnetoencephalographywas used to estimate unbiased network topology, using minimum spanning tree (MST) constructed from phase synchrony between beamformer-reconstructed time-series. During childhood, network topology becomes increasingly segregated, while cortical regions decrease in centrality. We propose a heuristic MST model, in which a clear developmental trajectory for the emergence of complex brain networks is delineated. Our results resolve topological reorganisation of functional networks across temporal and special scales in youth and fill a gap in the literature regarding neurophysiological mechanisms of functional brain maturation during the preschool years.

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Posted July 27, 2018.
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Topological segregation of functional networks increases in developing brains
Wei He, Paul F. Sowman, Jon Brock, Andrew C. Etchell, Cornelis J. Stam, Arjan Hillebrand
bioRxiv 378562; doi: https://doi.org/10.1101/378562
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Topological segregation of functional networks increases in developing brains
Wei He, Paul F. Sowman, Jon Brock, Andrew C. Etchell, Cornelis J. Stam, Arjan Hillebrand
bioRxiv 378562; doi: https://doi.org/10.1101/378562

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