@article{188e1d2016c741c7af2528b8e7f1020c,
title = "Assessing white matter microstructure of the newborn with multi-shell diffusion MRI and biophysical compartment models",
abstract = "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 (ν. 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 ν. in values and the smallest ODI values. We could clearly differentiate, using the FA, ν. 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 ν. 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 ν. in, reflecting the late maturation of areas with thin non-myelinated fibers, and with highest ODI 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.",
keywords = "CHARMED, Corpus callosum, DTI, Internal capsule, Intra-axonal space, Intra-neurite space, MRI, Maturation, Microstructure, Myelin, NODDI, Newborn, Periventricular crossroads of pathways, White matter",
author = "Nicolas Kunz and Hui Zhang and Lana Vasung and O'Brien, {Kieran R.} and Yaniv Assaf and Fran{\c c}ois Lazeyras and Alexander, {Daniel C.} and H{\"u}ppi, {Petra S.}",
note = "Funding Information: We would like to thank Carole Salomon, Alexandra Darque and Lara Lordier, who took care of the newborn during the acquisition and of the recruitment, making this study feasible.This work is supported by the future and emerging technologies (FET) program of the EU FP7 framework through the CONNECT consortium (www.brain-connect.eu); and the Leenaards and Jeantet Foundations and the Centre d'Imagerie Biom{\'e}dicale (CIBM) from the UNIL, UNIGE, HUG, CHUV, and EPFL. PSH is additionally funded by the Swiss National Science Foundation 33CM30_140334 (From Cortex to Classroom) and SNF 32473B_135817 . DCA is additionally funded by EPSRC under grant EP/E007748 .",
year = "2014",
month = aug,
day = "1",
doi = "10.1016/j.neuroimage.2014.03.057",
language = "אנגלית",
volume = "96",
pages = "288--299",
journal = "NeuroImage",
issn = "1053-8119",
publisher = "Academic Press Inc.",
}