Literature DB >> 29631021

Characterizing Microstructural Tissue Properties in Multiple Sclerosis with Diffusion MRI at 7 T and 3 T: The Impact of the Experimental Design.

Silvia De Santis1, Matteo Bastiani2, Amgad Droby3, Pierre Kolber3, Frauke Zipp3, Eberhard Pracht4, Tony Stoecker4, Sergiu Groppa3, Alard Roebroeck5.   

Abstract

The recent introduction of advanced magnetic resonance (MR) imaging techniques to characterize focal and global degeneration in multiple sclerosis (MS), like the Composite Hindered and Restricted Model of Diffusion, or CHARMED, diffusional kurtosis imaging (DKI) and Neurite Orientation Dispersion and Density Imaging (NODDI) made available new tools to image axonal pathology non-invasively in vivo. These methods already showed greater sensitivity and specificity compared to conventional diffusion tensor-based metrics (e.g., fractional anisotropy), overcoming some of its limitations. While previous studies uncovered global and focal axonal degeneration in MS patients compared to healthy controls, here our aim is to investigate and compare different diffusion MRI acquisition protocols in their ability to highlight microstructural differences between MS and control tissue over several much used models. For comparison, we contrasted the ability of fractional anisotropy measurements to uncover differences between lesion, normal-appearing white matter (WM), gray matter and healthy tissue under the same imaging protocols. We show that: (1) focal and diffuse differences in several microstructural parameters are observed under clinical settings; (2) advanced models (CHARMED, DKI and NODDI) have increased specificity and sensitivity to neurodegeneration when compared to fractional anisotropy measurements; and (3) both high (3 T) and ultra-high fields (7 T) are viable options for imaging tissue change in MS lesions and normal appearing WM, while higher b-values are less beneficial under the tested short-time (10 min acquisition) conditions.
Copyright © 2018 The Author(s). Published by Elsevier Ltd.. All rights reserved.

Entities:  

Keywords:  microstructure; multi-shell diffusion MRI; multiple sclerosis; ultra-high field MRI

Mesh:

Year:  2018        PMID: 29631021     DOI: 10.1016/j.neuroscience.2018.03.048

Source DB:  PubMed          Journal:  Neuroscience        ISSN: 0306-4522            Impact factor:   3.590


  17 in total

1.  Diffusion MRI microstructural models in the cervical spinal cord - Application, normative values, and correlations with histological analysis.

Authors:  Kurt G Schilling; Samantha By; Haley R Feiler; Bailey A Box; Kristin P O'Grady; Atlee Witt; Bennett A Landman; Seth A Smith
Journal:  Neuroimage       Date:  2019-07-19       Impact factor: 6.556

2.  Impact of the acquisition protocol on the sensitivity to demyelination and axonal loss of clinically feasible DWI techniques: a simulation study.

Authors:  Stefania Oliviero; Cosimo Del Gratta
Journal:  MAGMA       Date:  2021-01-08       Impact factor: 2.310

Review 3.  Application of advanced magnetic resonance imaging in glaucoma: a narrative review.

Authors:  Longdan Kang; Chao Wan
Journal:  Quant Imaging Med Surg       Date:  2022-03

4.  NODDI, diffusion tensor microstructural abnormalities and atrophy of brain white matter and gray matter contribute to cognitive impairment in multiple sclerosis.

Authors:  Paolo Preziosa; Elisabetta Pagani; Alessandro Meani; Olga Marchesi; Lorenzo Conti; Andrea Falini; Maria A Rocca; Massimo Filippi
Journal:  J Neurol       Date:  2022-10-06       Impact factor: 6.682

5.  Advanced diffusion-weighted imaging models better characterize white matter neurodegeneration and clinical outcomes in multiple sclerosis.

Authors:  Loredana Storelli; Elisabetta Pagani; Alessandro Meani; Paolo Preziosa; Massimo Filippi; Maria A Rocca
Journal:  J Neurol       Date:  2022-04-10       Impact factor: 6.682

6.  Brain microstructural and metabolic alterations detected in vivo at onset of the first demyelinating event.

Authors:  Sara Collorone; Ferran Prados; Baris Kanber; Niamh M Cawley; Carmen Tur; Francesco Grussu; Bhavana S Solanky; Marios Yiannakas; Indran Davagnanam; Claudia A M Gandini Wheeler-Kingshott; Frederik Barkhof; Olga Ciccarelli; Ahmed T Toosy
Journal:  Brain       Date:  2021-06-22       Impact factor: 13.501

7.  Assessing brain injury topographically using MR neurite orientation dispersion and density imaging in multiple sclerosis.

Authors:  Amalie Chen; Sijin Wen; Dhairya A Lakhani; Si Gao; Keejin Yoon; Seth A Smith; Richard Dortch; Junzhong Xu; Francesca Bagnato
Journal:  J Neuroimaging       Date:  2021-05-25       Impact factor: 2.324

8.  PreQual: An automated pipeline for integrated preprocessing and quality assurance of diffusion weighted MRI images.

Authors:  Leon Y Cai; Qi Yang; Colin B Hansen; Vishwesh Nath; Karthik Ramadass; Graham W Johnson; Benjamin N Conrad; Brian D Boyd; John P Begnoche; Lori L Beason-Held; Andrea T Shafer; Susan M Resnick; Warren D Taylor; Gavin R Price; Victoria L Morgan; Baxter P Rogers; Kurt G Schilling; Bennett A Landman
Journal:  Magn Reson Med       Date:  2021-02-03       Impact factor: 3.737

9.  Comparison of Neurite Orientation Dispersion and Density Imaging and Two-Compartment Spherical Mean Technique Parameter Maps in Multiple Sclerosis.

Authors:  Daniel Johnson; Antonio Ricciardi; Wallace Brownlee; Baris Kanber; Ferran Prados; Sara Collorone; Enrico Kaden; Ahmed Toosy; Daniel C Alexander; Claudia A M Gandini Wheeler-Kingshott; Olga Ciccarelli; Francesco Grussu
Journal:  Front Neurol       Date:  2021-06-14       Impact factor: 4.003

10.  Physical activity is associated with left corticospinal tract microstructure in bipolar depression.

Authors:  Tobias Bracht; Sarah Steinau; Andrea Federspiel; Christoph Schneider; Roland Wiest; Sebastian Walther
Journal:  Neuroimage Clin       Date:  2018-10-01       Impact factor: 4.881

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