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Early human brain development: insights into macroscale connectome wiring

  • Kristin Keunen
  • , Hannelore K van der Burgh
  • , Marcel A de Reus
  • , Ruben Schmidt
  • , Siemon C de Lange
  • , Linda S de Vries
  • , Manon J Benders
  • , Martijn P van den Heuvel

Research output: Contribution to Journal › Article › Academic › peer-review

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Abstract

BACKGROUND: Early brain development is closely dictated by distinct neurobiological principles. Here, we aimed to map early trajectories of structural brain wiring in the neonatal brain.

METHODS: We investigated structural connectome development in 44 newborns, including 23 preterm infants and 21 full-term neonates scanned between 29 and 45 postmenstrual weeks. Diffusion-weighted imaging data were combined with cortical segmentations derived from T2 data to construct neonatal connectome maps.

RESULTS: Projection fibers interconnecting primary cortices and deep gray matter structures were noted to mature faster than connections between higher-order association cortices (fractional anisotropy (FA) F = 58.9, p < 0.001, radial diffusivity (RD) F = 28.8, p < 0.001). Neonatal FA-values resembled adult FA-values more than RD, while RD approximated the adult brain faster (F = 358.4, p < 0.001). Maturational trajectories of RD in neonatal white matter pathways revealed substantial overlap with what is known about the sequence of subcortical white matter myelination from histopathological mappings as recorded by early neuroanatomists (mean RD 68 regions r = 0.45, p = 0.008).

CONCLUSION: Employing postnatal neuroimaging we reveal that early maturational trajectories of white matter pathways display discriminative developmental features of the neonatal brain network. These findings provide valuable insight into the early stages of structural connectome development.

Original languageEnglish
Pages (from-to)829-836
Number of pages8
JournalPediatric Research
Volume84
Issue number6
Early online date15 Aug 2018
DOIs
Publication statusPublished - Dec 2018

Funding

We thank Nathalie Claessens, Laura Dix, Nienke Wagenaar, and Lauren Weeke for their assistance in the data collection and Filipe Gervásio Gonçalves Costa for his intellectual input on the content of the manuscript. We also thank Ingrid van Haastert, Corine Koopman, Marian Jongmans, A. Wingens, M. Tanke, Tabitha Koops and Sasja Duijff for their careful neurodevelopmental evaluation of the children included in this study. We are grateful to the MRI technicians for their dedication to good quality imaging data acquisition in our neonates. Data were provided in part by the Human Connectome Project, WU-Minn Consortium (Principal Investigators: David Van Essen and Kamil Ugurbil; 1U54MH091657) funded by the 16 NIH Institutes and Centers that support the NIH Blueprint for Neuroscience Research; and by the McDonnell Center for Systems Neuroscience at Washington University. This work was supported by a grant from the Wilhelmina Children’s Hospital Research Fund (“Vrienden van het WKZ”) to M.P.v.d.H. and M.J. B. The work of M.P.v.d.H. is supported by a VIDI grant from the Netherlands Organisation for Scientific Research (NWO) (grant number 452-16-015), a Rudolf Magnus Fellowship and an MQ Fellowship.

FundersFunder number
Wilhelmina Children’s Hospital Research Fund
National Institutes of Health
National Institute of Mental HealthU54MH091657
NIH Blueprint for Neuroscience Research
McDonnell Center for Systems Neuroscience
Nederlandse Organisatie voor Wetenschappelijk Onderzoek452-16-015

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 16 - Peace, Justice and Strong Institutions
      SDG 16 Peace, Justice and Strong Institutions

    Keywords

    • Adult
    • Anisotropy
    • Child, Preschool
    • Connectome
    • Diffusion Magnetic Resonance Imaging
    • Diffusion Tensor Imaging
    • Female
    • Gray Matter/diagnostic imaging
    • Humans
    • Infant
    • Infant, Newborn
    • Infant, Premature
    • Male
    • Myelin Sheath/metabolism
    • Neuroanatomy
    • Neuroimaging
    • White Matter/diagnostic imaging
    • Young Adult

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