Literature DB >> 10639670

Changes in brain water diffusion during childhood.

M C Morriss1, R A Zimmerman, L T Bilaniuk, J V Hunter, J C Haselgrove.   

Abstract

We studied the changes in brain water diffusion in childhood as seen on diffusion-weighted MRI in 30 children from 1 day of life to 17 years to provide a data base and to investigate the correlation of diffusion changes with known patterns of white matter maturation. The apparent diffusion coefficient (ADC) and apparent anisotropy (AA) were calculated in numerous regions of the brain to include major white matter tracts and gray matter. ADC and AA values were directly related to the structural maturity and compactness of the white matter tracts and changed with aging in a way that predated early myelination markers such as signal change on T1- or T2-weighted images. Diffusion of water is sensitive to structural changes in the brain such as white matter maturation and may be useful in investigating white matter disorders.

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Year:  1999        PMID: 10639670     DOI: 10.1007/s002340050869

Source DB:  PubMed          Journal:  Neuroradiology        ISSN: 0028-3940            Impact factor:   2.804


  58 in total

1.  Correlation of white matter diffusivity and anisotropy with age during childhood and adolescence: a cross-sectional diffusion-tensor MR imaging study.

Authors:  Vincent J Schmithorst; Marko Wilke; Bernard J Dardzinski; Scott K Holland
Journal:  Radiology       Date:  2002-01       Impact factor: 11.105

2.  Isotropic apparent diffusion coefficient mapping of postnatal cerebral development.

Authors:  K O Lövblad; J Schneider; K Ruoss; M Steinlin; C Fusch; G Schroth
Journal:  Neuroradiology       Date:  2003-05-20       Impact factor: 2.804

Review 3.  Diffusion tensor imaging of the brain: review of clinical applications.

Authors:  P C Sundgren; Q Dong; D Gómez-Hassan; S K Mukherji; P Maly; R Welsh
Journal:  Neuroradiology       Date:  2004-04-21       Impact factor: 2.804

Review 4.  Imaging in childhood arterial ischaemic stroke.

Authors:  Brynmor P Jones; Vijya Ganesan; Dawn E Saunders; W Kling Chong
Journal:  Neuroradiology       Date:  2010-05-06       Impact factor: 2.804

5.  Microstructural development: organizational differences of the fiber architecture between children and adults in dorsal and ventral visual streams.

Authors:  Thomas Loenneker; Peter Klaver; Kerstin Bucher; Janine Lichtensteiger; Adrian Imfeld; Ernst Martin
Journal:  Hum Brain Mapp       Date:  2010-06-09       Impact factor: 5.038

6.  White matter maturation reshapes structural connectivity in the late developing human brain.

Authors:  P Hagmann; O Sporns; N Madan; L Cammoun; R Pienaar; V J Wedeen; R Meuli; J-P Thiran; P E Grant
Journal:  Proc Natl Acad Sci U S A       Date:  2010-10-18       Impact factor: 11.205

7.  Diffusion tensor imaging-based characterization of brain neurodevelopment in primates.

Authors:  Yundi Shi; Sarah J Short; Rebecca C Knickmeyer; Jiaping Wang; Christopher L Coe; Marc Niethammer; John H Gilmore; Hongtu Zhu; Martin A Styner
Journal:  Cereb Cortex       Date:  2012-01-23       Impact factor: 5.357

8.  MR quantitation of volume and diffusion changes in the developing brain.

Authors:  Lijuan Zhang; Kathleen M Thomas; Matthew C Davidson; B J Casey; Linda A Heier; Aziz M Uluğ
Journal:  AJNR Am J Neuroradiol       Date:  2005-01       Impact factor: 3.825

9.  Diffusion tensor imaging of frontal white matter and executive functioning in cocaine-exposed children.

Authors:  Tamara Duckworth Warner; Marylou Behnke; Fonda Davis Eyler; Kyle Padgett; Christiana Leonard; Wei Hou; Cynthia Wilson Garvan; Ilona M Schmalfuss; Stephen J Blackband
Journal:  Pediatrics       Date:  2006-11       Impact factor: 7.124

10.  COMT genotype affects prefrontal white matter pathways in children and adolescents.

Authors:  Moriah E Thomason; Robert F Dougherty; Natalie L Colich; Lee M Perry; Elena I Rykhlevskaia; Hugo M Louro; Joachim F Hallmayer; Christian E Waugh; Roland Bammer; Gary H Glover; Ian H Gotlib
Journal:  Neuroimage       Date:  2010-01-18       Impact factor: 6.556

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