Literature DB >> 29373838

Quantifying multiple sclerosis pathology in post mortem spinal cord using MRI.

K Schmierer1, A McDowell2, N Petrova3, D Carassiti3, D L Thomas4, M E Miquel5.   

Abstract

Multiple sclerosis (MS) is a common inflammatory, demyelinating and degenerative disease of the central nervous system. The majority of people with MS present with symptoms due to spinal cord damage, and in more advanced MS a clinical syndrome resembling that of progressive myelopathy is not uncommon. Significant efforts have been undertaken to predict MS-related disability based on short-term observations, for example, the spinal cord cross-sectional area measured using MRI. The histo-pathological correlates of spinal cord MRI changes in MS are incompletely understood, however a surge of interest in tissue microstructure has recently led to new approaches to improve the precision with which MRI indices relate to underlying tissue features, such as myelin content, neurite density and orientation, among others. Quantitative MRI techniques including T1 and T2, magnetisation transfer (MT) and a number of diffusion-derived indices have all been successfully applied to post mortem MS spinal cord. Combining advanced quantification of histological features with quantitative - particularly diffusion-based - MRI techniques provide a new platform for high-quality MR/pathology data generation. To more accurately quantify grey matter pathology in the MS spinal cord, a key driver of physical disability in advanced MS, remains an important challenge of microstructural imaging.
Copyright © 2018 The Author(s). Published by Elsevier Inc. All rights reserved.

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Year:  2018        PMID: 29373838     DOI: 10.1016/j.neuroimage.2018.01.052

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


  8 in total

1.  Spatial distribution of multiple sclerosis lesions in the cervical spinal cord.

Authors:  Dominique Eden; Charley Gros; Atef Badji; Sara M Dupont; Benjamin De Leener; Josefina Maranzano; Ren Zhuoquiong; Yaou Liu; Tobias Granberg; Russell Ouellette; Leszek Stawiarz; Jan Hillert; Jason Talbott; Elise Bannier; Anne Kerbrat; Gilles Edan; Pierre Labauge; Virginie Callot; Jean Pelletier; Bertrand Audoin; Henitsoa Rasoanandrianina; Jean-Christophe Brisset; Paola Valsasina; Maria A Rocca; Massimo Filippi; Rohit Bakshi; Shahamat Tauhid; Ferran Prados; Marios Yiannakas; Hugh Kearney; Olga Ciccarelli; Seth A Smith; Constantina Andrada Treaba; Caterina Mainero; Jennifer Lefeuvre; Daniel S Reich; Govind Nair; Timothy M Shepherd; Erik Charlson; Yasuhiko Tachibana; Masaaki Hori; Kouhei Kamiya; Lydia Chougar; Sridar Narayanan; Julien Cohen-Adad
Journal:  Brain       Date:  2019-03-01       Impact factor: 13.501

2.  CEST MRI and MALDI imaging reveal metabolic alterations in the cervical lymph nodes of EAE mice.

Authors:  Aline M Thomas; Ethan Yang; Matthew D Smith; Chengyan Chu; Peter A Calabresi; Kristine Glunde; Peter C M van Zijl; Jeff W M Bulte
Journal:  J Neuroinflammation       Date:  2022-06-03       Impact factor: 9.587

3.  Ultrahigh-resolution MRI Reveals Extensive Cortical Demyelination in a Nonhuman Primate Model of Multiple Sclerosis.

Authors:  Maxime Donadieu; Hannah Kelly; Diego Szczupak; Jing-Ping Lin; Yeajin Song; Cecil C C Yen; Frank Q Ye; Hadar Kolb; Joseph R Guy; Erin S Beck; Steven Jacobson; Afonso C Silva; Pascal Sati; Daniel S Reich
Journal:  Cereb Cortex       Date:  2021-01-01       Impact factor: 5.357

Review 4.  Animal modeling of lower urinary tract dysfunction associated with multiple sclerosis: Part I: Justification of the mouse model for MS research.

Authors:  Ramalakshmi Ramasamy; Phillip P Smith
Journal:  Neurourol Urodyn       Date:  2021-03-14       Impact factor: 2.696

5.  High-resolution quantitative MRI of multiple sclerosis spinal cord lesions.

Authors:  Amy R McDowell; Natalia Petrova; Daniele Carassiti; Marc E Miquel; David L Thomas; Gareth J Barker; Klaus Schmierer; Tobias C Wood
Journal:  Magn Reson Med       Date:  2022-01-11       Impact factor: 3.737

6.  Quantitative MRI of rostral spinal cord and brain regions is predictive of functional recovery in acute spinal cord injury.

Authors:  Maryam Seif; Armin Curt; Alan J Thompson; Patrick Grabher; Nikolaus Weiskopf; Patrick Freund
Journal:  Neuroimage Clin       Date:  2018-08-19       Impact factor: 4.881

Review 7.  Advances in spinal cord imaging in multiple sclerosis.

Authors:  Marcello Moccia; Serena Ruggieri; Antonio Ianniello; Ahmed Toosy; Carlo Pozzilli; Olga Ciccarelli
Journal:  Ther Adv Neurol Disord       Date:  2019-04-22       Impact factor: 6.570

8.  Quantitative Gradient Echo MRI Identifies Dark Matter as a New Imaging Biomarker of Neurodegeneration that Precedes Tisssue Atrophy in Early Alzheimer's Disease.

Authors:  Satya V V N Kothapalli; Tammie L Benzinger; Andrew J Aschenbrenner; Richard J Perrin; Charles F Hildebolt; Manu S Goyal; Anne M Fagan; Marcus E Raichle; John C Morris; Dmitriy A Yablonskiy
Journal:  J Alzheimers Dis       Date:  2022       Impact factor: 4.472

  8 in total

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