Literature DB >> 30375119

Myelin water imaging to detect demyelination and remyelination and its validation in pathology.

Cornelia Laule1,2,3,4, G R Wayne Moore2,4,5.   

Abstract

Damage to myelin is a key feature of multiple sclerosis (MS) pathology. Magnetic resonance imaging (MRI) has revolutionized our ability to detect and monitor MS pathology in vivo. Proton density, T1 and T2 can provide qualitative contrast weightings that yield superb in vivo visualization of central nervous system tissue and have proved invaluable as diagnostic and patient management tools in MS. However, standard clinical MR methods are not specific to the types of tissue damage they visualize, and they cannot detect subtle abnormalities in tissue that appears otherwise normal on conventional MRIs. Myelin water imaging is an MR method that provides in vivo measurement of myelin. Histological validation work in both human brain and spinal cord tissue demonstrates a strong correlation between myelin water and staining for myelin, validating myelin water as a marker for myelin. Myelin water varies throughout the brain and spinal cord in healthy controls, and shows good intra- and inter-site reproducibility. MS plaques show variably decreased myelin water fraction, with older lesions demonstrating the greatest myelin loss. Longitudinal study of myelin water can provide insights into the dynamics of demyelination and remyelination in plaques. Normal appearing brain and spinal cord tissues show reduced myelin water, an abnormality which becomes progressively more evident over a timescale of years. Diffusely abnormal white matter, which is evident in 20%-25% of MS patients, also shows reduced myelin water both in vivo and postmortem, and appears to originate from a primary lipid abnormality with relative preservation of myelin proteins. Active research is ongoing in the quest to refine our ability to image myelin and its perturbations in MS and other disorders of the myelin sheath.
© 2018 International Society of Neuropathology.

Entities:  

Keywords:  diffusely abnormal white matter; magnetic resonance imaging; multiple sclerosis; myelin; normal appearing white matter; pathology

Mesh:

Substances:

Year:  2018        PMID: 30375119     DOI: 10.1111/bpa.12645

Source DB:  PubMed          Journal:  Brain Pathol        ISSN: 1015-6305            Impact factor:   6.508


  13 in total

1.  A multiparametric analysis of white matter maturation during late childhood and adolescence.

Authors:  Bryce L Geeraert; Robert Marc Lebel; Catherine Lebel
Journal:  Hum Brain Mapp       Date:  2019-07-07       Impact factor: 5.038

2.  Quantitative magnetic resonance imaging towards clinical application in multiple sclerosis.

Authors:  Cristina Granziera; Jens Wuerfel; Frederik Barkhof; Massimiliano Calabrese; Nicola De Stefano; Christian Enzinger; Nikos Evangelou; Massimo Filippi; Jeroen J G Geurts; Daniel S Reich; Maria A Rocca; Stefan Ropele; Àlex Rovira; Pascal Sati; Ahmed T Toosy; Hugo Vrenken; Claudia A M Gandini Wheeler-Kingshott; Ludwig Kappos
Journal:  Brain       Date:  2021-06-22       Impact factor: 13.501

3.  Gray Matter Alterations in Early and Late Relapsing-Remitting Multiple Sclerosis Evaluated with Synthetic Quantitative Magnetic Resonance Imaging.

Authors:  Christina Andica; Akifumi Hagiwara; Koji Kamagata; Kazumasa Yokoyama; Keigo Shimoji; Asami Saito; Yuki Takenaka; Misaki Nakazawa; Masaaki Hori; Julien Cohen-Adad; Mariko Yoshida Takemura; Nobutaka Hattori; Shigeki Aoki
Journal:  Sci Rep       Date:  2019-05-31       Impact factor: 4.379

Review 4.  Advances in brain imaging in multiple sclerosis.

Authors:  Rosa Cortese; Sara Collorone; Olga Ciccarelli; Ahmed T Toosy
Journal:  Ther Adv Neurol Disord       Date:  2019-06-27       Impact factor: 6.570

5.  CRISPR/Cas9 generated knockout mice lacking phenylalanine hydroxylase protein as a novel preclinical model for human phenylketonuria.

Authors:  Kuldeep Singh; Cathleen S Cornell; Robert Jackson; Mostafa Kabiri; Michael Phipps; Mitul Desai; Robert Fogle; Xiaoyou Ying; Gulbenk Anarat-Cappillino; Sarah Geller; Jennifer Johnson; Errin Roberts; Katie Malley; Tim Devlin; Matthew DeRiso; Patricia Berthelette; Yao V Zhang; Susan Ryan; Srinivas Rao; Beth L Thurberg; Dinesh S Bangari; Sirkka Kyostio-Moore
Journal:  Sci Rep       Date:  2021-03-31       Impact factor: 4.379

6.  An in vivo implementation of the MEX MRI for myelin fraction of mice brain.

Authors:  Ella Wilczynski; Efrat Sasson; Uzi Eliav; Gil Navon; Uri Nevo
Journal:  MAGMA       Date:  2021-08-06       Impact factor: 2.310

7.  Demyelination and remyelination detected in an alternative cuprizone mouse model of multiple sclerosis with 7.0 T multiparameter magnetic resonance imaging.

Authors:  Shuang Ding; Yu Guo; Xiaoya Chen; Silin Du; Yongliang Han; Zichun Yan; Qiyuan Zhu; Yongmei Li
Journal:  Sci Rep       Date:  2021-05-26       Impact factor: 4.379

8.  A Comparison of Quantitative R1 and Cortical Thickness in Identifying Age, Lifespan Dynamics, and Disease States of the Human Cortex.

Authors:  A Erramuzpe; R Schurr; J D Yeatman; I H Gotlib; M D Sacchet; K E Travis; H M Feldman; A A Mezer
Journal:  Cereb Cortex       Date:  2021-01-05       Impact factor: 4.861

9.  An interactive meta-analysis of MRI biomarkers of myelin.

Authors:  Thomas E Nichols; Nikola Stikov; Matteo Mancini; Agah Karakuzu; Julien Cohen-Adad; Mara Cercignani
Journal:  Elife       Date:  2020-10-21       Impact factor: 8.140

Review 10.  Diagnostic Imaging in Intervertebral Disc Disease.

Authors:  Ronaldo C da Costa; Steven De Decker; Melissa J Lewis; Holger Volk
Journal:  Front Vet Sci       Date:  2020-10-22
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