Literature DB >> 24680870

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

Nicolas Kunz1, Hui Zhang2, Lana Vasung3, Kieran R O'Brien4, Yaniv Assaf5, François Lazeyras4, Daniel C Alexander2, Petra S Hüppi3.   

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 (νin) 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 νin values and the smallest ODI values. We could clearly differentiate, using the FA, νin 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 νin values, but displayed significant differences in ODI. The compartmented models CHARMED-light and NODDI bring new indices corroborating the cellular architectures, with the lowest νin, 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.
Copyright © 2014. Published by Elsevier Inc.

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

Mesh:

Year:  2014        PMID: 24680870     DOI: 10.1016/j.neuroimage.2014.03.057

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  77 in total

1.  Age effects and sex differences in human brain white matter of young to middle-aged adults: A DTI, NODDI, and q-space study.

Authors:  Chandana Kodiweera; Andrew L Alexander; Jaroslaw Harezlak; Thomas W McAllister; Yu-Chien Wu
Journal:  Neuroimage       Date:  2015-12-24       Impact factor: 6.556

Review 2.  Delineation of early brain development from fetuses to infants with diffusion MRI and beyond.

Authors:  Minhui Ouyang; Jessica Dubois; Qinlin Yu; Pratik Mukherjee; Hao Huang
Journal:  Neuroimage       Date:  2018-04-12       Impact factor: 6.556

3.  Investigation of brain structure in the 1-month infant.

Authors:  Douglas C Dean; E M Planalp; W Wooten; C K Schmidt; S R Kecskemeti; C Frye; N L Schmidt; H H Goldsmith; A L Alexander; R J Davidson
Journal:  Brain Struct Funct       Date:  2018-01-05       Impact factor: 3.270

4.  Microstructural changes in thickened corpus callosum in children: contribution of magnetic resonance diffusion tensor imaging.

Authors:  Laura Merlini; Mehrak Anooshiravani; Aikaterini Kanavaki; Sylviane Hanquinet
Journal:  Pediatr Radiol       Date:  2014-12-03

5.  Comparison of NODDI and spherical mean signal for measuring intra-neurite volume fraction.

Authors:  Hua Li; Rahul Nikam; Vinay Kandula; Ho Ming Chow; Arabinda K Choudhary
Journal:  Magn Reson Imaging       Date:  2018-11-26       Impact factor: 2.546

6.  Design and validation of diffusion MRI models of white matter.

Authors:  Ileana O Jelescu; Matthew D Budde
Journal:  Front Phys       Date:  2017-11-28

7.  One diffusion acquisition and different white matter models: how does microstructure change in human early development based on WMTI and NODDI?

Authors:  Ileana O Jelescu; Jelle Veraart; Vitria Adisetiyo; Sarah S Milla; Dmitry S Novikov; Els Fieremans
Journal:  Neuroimage       Date:  2014-12-09       Impact factor: 6.556

8.  Examining the relationship between perinatal depression and neurodevelopment in infants and children through structural and functional neuroimaging research.

Authors:  Christy Duan; Megan M Hare; Morganne Staring; Kristina M Deligiannidis
Journal:  Int Rev Psychiatry       Date:  2019-01-31

9.  Degeneracy in model parameter estimation for multi-compartmental diffusion in neuronal tissue.

Authors:  Ileana O Jelescu; Jelle Veraart; Els Fieremans; Dmitry S Novikov
Journal:  NMR Biomed       Date:  2015-11-29       Impact factor: 4.044

10.  Axon density and axon orientation dispersion in children born preterm.

Authors:  Claire E Kelly; Deanne K Thompson; Jian Chen; Alexander Leemans; Christopher L Adamson; Terrie E Inder; Jeanie L Y Cheong; Lex W Doyle; Peter J Anderson
Journal:  Hum Brain Mapp       Date:  2016-05-02       Impact factor: 5.038

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