4.7 Article

Assessing white matter microstructure of the newborn with multi-shell diffusion MRI and biophysical compartment models

Journal

NEUROIMAGE
Volume 96, Issue -, Pages 288-299

Publisher

ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.neuroimage.2014.03.057

Keywords

White matter; Microstructure; Newborn; Maturation; Myelin; Intra-neurite space; Intra-axonal space; MRI; CHARMED; NODDI; DTI; Corpus callosum; Internal capsule; Periventricular crossroads of pathways

Funding

  1. future and emerging technologies (FET) program of the EU FP7 framework through the CONNECT consortium
  2. Leenaards Foundation
  3. Jeantet Foundation
  4. Centre d'Imagerie Biomedicale (CIBM) from the UNIL
  5. Centre d'Imagerie Biomedicale (CIBM) from the UNIGE
  6. Centre d'Imagerie Biomedicale (CIBM) from the HUG
  7. Centre d'Imagerie Biomedicale (CIBM) from the CHUV
  8. Centre d'Imagerie Biomedicale (CIBM) from the EPFL
  9. Swiss National Science Foundation [33CM30_140334]
  10. SNF [32473B_135817]
  11. EPSRC [EP/E007748]
  12. EPSRC [EP/G007748/1] Funding Source: UKRI
  13. Engineering and Physical Sciences Research Council [EP/G007748/1] Funding Source: researchfish
  14. Swiss National Science Foundation (SNF) [33CM30_140334] Funding Source: Swiss National Science Foundation (SNF)

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Brain white matter connections have become a focus of major interest with important maturational processes occurring in newborns. To study the complex microstructural developmental changes in-vivo, it is imperative that non-invasive neuroimaging approaches are developed for this age-group. Multi-b-value diffusion weighted imaging data were acquired in 13 newborns, and the biophysical compartment diffusion models CHARMED-light and NODDI, providing new microstructural parameters such as intra-neurite volume fraction (nu(in)) and neurite orientation dispersion index (ODI), were developed for newborn data. Comparative analysis was performed and twenty ROIs in the white matter were investigated. Diffusion tensor imaging and both biophysical compartment models highlighted the compact and oriented structure of the corpus-callosum with the highest FA and nu(in) values and the smallest ODI values. We could clearly differentiate, using the FA, nu(in) and ODI, the posterior and anterior internal capsule representing similar cellular structure but with different maturation (i.e. partially myelinated and absence of myelin, respectively). Late maturing regions (external capsule and periventricular crossroads of pathways) had lower nu(in) values, but displayed significant differences in ODI. The compartmented models CHARMED-light and NODDI bring new indices corroborating the cellular architectures, with the lowest nu(in), reflecting the late maturation of areas with thin non-myelinated fibers, and with highest OM indicating the presence of fiber crossings and fanning. The application of biophysical compartment diffusion models adds new insights to the brain white matter development in vivo. (C) 2014 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/3.0/).

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