Literature DB >> 9128162

T2 relaxation time as a marker of brain myelination: experimental MR study in two neonatal animal models.

E Miot-Noirault1, L Barantin, S Akoka, A Le Pape.   

Abstract

The progress of myelination in the brain was evaluated by visualization of grey/white matter differentiation on magnetic resonance (MR) images and quantitative analysis of MR data. In vivo quantitative MR imaging was used to monitor the T2 transverse relaxation time changes associated with cerebral development and myelination. The progress of myelination was evaluated using two neonatal animal models, the monkey and the dog, known to mature at very different rates. Three beagles were studied from birth to 4 months of age and nine baboons from 1 to 30 months of age. The T2 values in the frontal, parietal and occipital white matter were calculated and the changes in these values with age were followed. Brain maturation in both species was found to correspond to decreasing T2 values in both grey and white matter. This decrease was observed both in the dog brain and, despite slower maturation, in the baboon brain, and appeared to fit with the myelination process in these models. Exploiting the physicochemical parameters of water in tissues via T2 determination is a convenient and reliable strategy for the documentation of brain development in both experimental approaches and clinical situations.

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Year:  1997        PMID: 9128162     DOI: 10.1016/s0165-0270(96)00148-3

Source DB:  PubMed          Journal:  J Neurosci Methods        ISSN: 0165-0270            Impact factor:   2.390


  29 in total

1.  T2 relaxation values in the developing preterm brain.

Authors:  Serena J Counsell; Nigel L Kennea; Amy H Herlihy; Joanna M Allsop; Michael C Harrison; Frances M Cowan; Joseph V Hajnal; Bridget Edwards; A David Edwards; Mary A Rutherford
Journal:  AJNR Am J Neuroradiol       Date:  2003-09       Impact factor: 3.825

2.  Age-related slowing in cognitive processing speed is associated with myelin integrity in a very healthy elderly sample.

Authors:  Po H Lu; Grace J Lee; Erika P Raven; Kathleen Tingus; Theresa Khoo; Paul M Thompson; George Bartzokis
Journal:  J Clin Exp Neuropsychol       Date:  2011-08-26       Impact factor: 2.475

3.  Mapping human cortical areas in vivo based on myelin content as revealed by T1- and T2-weighted MRI.

Authors:  Matthew F Glasser; David C Van Essen
Journal:  J Neurosci       Date:  2011-08-10       Impact factor: 6.167

4.  Evidence of rapid ongoing brain development beyond 2 years of age detected by fiber tracking.

Authors:  X-Q Ding; Y Sun; H Braass; T Illies; H Zeumer; H Lanfermann; J Fiehler
Journal:  AJNR Am J Neuroradiol       Date:  2008-04-24       Impact factor: 3.825

Review 5.  The development of brain white matter microstructure.

Authors:  Catherine Lebel; Sean Deoni
Journal:  Neuroimage       Date:  2018-01-03       Impact factor: 6.556

Review 6.  Advanced neonatal NeuroMRI.

Authors:  Kenichi Oishi; Andreia V Faria; Susumu Mori
Journal:  Magn Reson Imaging Clin N Am       Date:  2012-02       Impact factor: 2.266

Review 7.  Quantitative evaluation of brain development using anatomical MRI and diffusion tensor imaging.

Authors:  Kenichi Oishi; Andreia V Faria; Shoko Yoshida; Linda Chang; Susumu Mori
Journal:  Int J Dev Neurosci       Date:  2013-06-21       Impact factor: 2.457

8.  Oligodendrocyte loss during the disease course in a canine model of the lysosomal storage disease fucosidosis.

Authors:  Jessica L Fletcher; Gauthami S Kondagari; Charles H Vite; Peter Williamson; Rosanne M Taylor
Journal:  J Neuropathol Exp Neurol       Date:  2014-06       Impact factor: 3.685

9.  Study of the development of fetal baboon brain using magnetic resonance imaging at 3 Tesla.

Authors:  Feng Liu; Marianne Garland; Yunsuo Duan; Raymond I Stark; Dongrong Xu; Zhengchao Dong; Ravi Bansal; Bradley S Peterson; Alayar Kangarlu
Journal:  Neuroimage       Date:  2007-11-28       Impact factor: 6.556

10.  Reprint of "Quantitative evaluation of brain development using anatomical MRI and diffusion tensor imaging".

Authors:  Kenichi Oishi; Andreia V Faria; Shoko Yoshida; Linda Chang; Susumu Mori
Journal:  Int J Dev Neurosci       Date:  2013-12-02       Impact factor: 2.457

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