Literature DB >> 10871022

Concepts of myelin and myelination in neuroradiology.

A J Barkovich1.   

Abstract

Until the advent of MR imaging, knowledge of the structure of myelin and the process of myelination were of little importance to the neuroradiologist. Other than some mild changes in the attenuation of white matter, myelination resulted in no significant alterations of CT (1) or sonographic studies. MR studies, on the other hand, have been increasingly used for pediatric brain imaging. MR imaging's greater sensitivity to small changes in the water content of brain tissue, to changes in the binding of free water (revealed by magnetization transfer), and to the extent and anisotropy of water diffusion (revealed by diffusion imaging) has cast new light on this very complex and important molecule. Assessing myelination has become a key component of evaluating the child with delayed development. Moreover, better understanding of the nature of myelin and the effect of its different components on MR imaging parameters may help us to understand and diagnose inborn errors of metabolism better. In this review, I discuss what is known regarding the function and structure of CNS myelin and the effects of the various components of myelin on the signal imparted to the MR image. Summary Abnormalities of myelin can cause a wide variety of disorders of the nervous system. MR imaging is a powerful tool for the study of myelin and its disorders. However, only by understanding the physiologic properties and structure of myelin can we use MR imaging to its fullest capacity for studying patients with myelin disorders. In this review, I have discussed the structure of myelin as it relates to MR imaging of normal myelination and to neurologic disorders resulting from abnormalities of myelin. Thinking of myelin and its disorders in this manner will be critical to using MR imaging techniques optimally to diagnose and study these disorders further.

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Year:  2000        PMID: 10871022      PMCID: PMC7973874     

Source DB:  PubMed          Journal:  AJNR Am J Neuroradiol        ISSN: 0195-6108            Impact factor:   3.825


  63 in total

1.  Identification of "premyelination" by diffusion-weighted MRI.

Authors:  D M Wimberger; T P Roberts; A J Barkovich; L M Prayer; M E Moseley; J Kucharczyk
Journal:  J Comput Assist Tomogr       Date:  1995 Jan-Feb       Impact factor: 1.826

2.  Influence of membrane lipid packing on T2-weighted magnetic resonance images: study of relaxation parameters in model membrane systems.

Authors:  J Lee; J A Barry
Journal:  Magn Reson Med       Date:  1996-09       Impact factor: 4.668

3.  Identification of autoantibodies associated with myelin damage in multiple sclerosis.

Authors:  C P Genain; B Cannella; S L Hauser; C S Raine
Journal:  Nat Med       Date:  1999-02       Impact factor: 53.440

4.  Inflammatory CNS demyelination: histopathologic correlation with in vivo quantitative proton MR spectroscopy.

Authors:  A Bitsch; H Bruhn; V Vougioukas; A Stringaris; H Lassmann; J Frahm; W Brück
Journal:  AJNR Am J Neuroradiol       Date:  1999-10       Impact factor: 3.825

5.  Expression of myelin basic protein genes in several dysmyelinating mouse mutants during early postnatal brain development.

Authors:  H J Roth; M J Hunkeler; A T Campagnoni
Journal:  J Neurochem       Date:  1985-08       Impact factor: 5.372

6.  Myelin labeled with mercuric chloride. Asymmetric localization of phosphatidylethanolamine plasmalogen.

Authors:  D A Kirschner; A L Ganser
Journal:  J Mol Biol       Date:  1982-06-05       Impact factor: 5.469

7.  Relaxivity and magnetization transfer of white matter lipids at MR imaging: importance of cerebrosides and pH.

Authors:  W Kucharczyk; P M Macdonald; G J Stanisz; R M Henkelman
Journal:  Radiology       Date:  1994-08       Impact factor: 11.105

8.  Multiple sclerosis: serial study of gadolinium-enhanced MR imaging.

Authors:  R I Grossman; B H Braffman; J R Brorson; H I Goldberg; D H Silberberg; F Gonzalez-Scarano
Journal:  Radiology       Date:  1988-10       Impact factor: 11.105

9.  Correlation of volumetric magnetization transfer imaging with clinical data in MS.

Authors:  M A van Buchem; R I Grossman; C Armstrong; M Polansky; Y Miki; F H Heyning; M P Boncoeur-Martel; L Wei; J K Udupa; M Grossman; D L Kolson; J C McGowan
Journal:  Neurology       Date:  1998-06       Impact factor: 9.910

10.  Axonal loss in multiple sclerosis lesions: magnetic resonance imaging insights into substrates of disability.

Authors:  J H van Waesberghe; W Kamphorst; C J De Groot; M A van Walderveen; J A Castelijns; R Ravid; G J Lycklama à Nijeholt; P van der Valk; C H Polman; A J Thompson; F Barkhof
Journal:  Ann Neurol       Date:  1999-11       Impact factor: 10.422

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  137 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.  Atlas-based analysis of neurodevelopment from infancy to adulthood using diffusion tensor imaging and applications for automated abnormality detection.

Authors:  Andreia V Faria; Jiangyang Zhang; Kenichi Oishi; Xin Li; Hangyi Jiang; Kazi Akhter; Laurent Hermoye; Seung-Koo Lee; Alexander Hoon; Elaine Stashinko; Michael I Miller; Peter C M van Zijl; Susumu Mori
Journal:  Neuroimage       Date:  2010-04-24       Impact factor: 6.556

Review 3.  Longitudinal study of callosal microstructure in the normal adult aging brain using quantitative DTI fiber tracking.

Authors:  Edith V Sullivan; Torsten Rohlfing; Adolf Pfefferbaum
Journal:  Dev Neuropsychol       Date:  2010       Impact factor: 2.253

4.  Regional white matter anisotropy and reading ability in patients treated for pediatric embryonal tumors.

Authors:  Shawna L Palmer; Wilburn E Reddick; John O Glass; Robert Ogg; Zoltan Patay; Dana Wallace; Amar Gajjar
Journal:  Brain Imaging Behav       Date:  2010-06       Impact factor: 3.978

5.  TRActs constrained by UnderLying INfant anatomy (TRACULInA): An automated probabilistic tractography tool with anatomical priors for use in the newborn brain.

Authors:  Lilla Zöllei; Camilo Jaimes; Elie Saliba; P Ellen Grant; Anastasia Yendiki
Journal:  Neuroimage       Date:  2019-05-24       Impact factor: 6.556

6.  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

7.  Brain abnormalities in cognition, anxiety, and depression regulatory regions in adolescents with single ventricle heart disease.

Authors:  Nancy A Pike; Bhaswati Roy; Ritika Gupta; Sadhana Singh; Mary A Woo; Nancy J Halnon; Alan B Lewis; Rajesh Kumar
Journal:  J Neurosci Res       Date:  2018-01-06       Impact factor: 4.164

8.  Invited article: an MRI-based approach to the diagnosis of white matter disorders.

Authors:  Raphael Schiffmann; Marjo S van der Knaap
Journal:  Neurology       Date:  2009-02-24       Impact factor: 9.910

9.  Decline in corpus callosum volume among pediatric patients with medulloblastoma: longitudinal MR imaging study.

Authors:  Shawna L Palmer; Wilburn E Reddick; John O Glass; Amar Gajjar; Olga Goloubeva; Raymond K Mulhern
Journal:  AJNR Am J Neuroradiol       Date:  2002-08       Impact factor: 3.825

Review 10.  Advanced MRI strategies for assessing spinal cord injury.

Authors:  Seth A Smith; James J Pekar; Peter C M van Zijl
Journal:  Handb Clin Neurol       Date:  2012
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