Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

Emerging magnetic resonance imaging techniques and analysis methods in amyotrophic lateral sclerosis.

Barritt, Andrew W., Gabel, Matt C., Cercignani, Mara ORCID: https://orcid.org/0000-0002-4550-2456 and Leigh, P. Nigel 2018. Emerging magnetic resonance imaging techniques and analysis methods in amyotrophic lateral sclerosis. Frontiers in Neurology 9 , 1065. 10.3389/fneur.2018.01065

[thumbnail of fneur-09-01065.pdf] PDF - Published Version
Available under License Creative Commons Attribution.

Download (792kB)

Abstract

Objective markers of disease sensitive to the clinical activity, symptomatic progression, and underlying substrates of neurodegeneration are highly coveted in amyotrophic lateral sclerosis in order to more eloquently stratify the highly heterogeneous phenotype and facilitate the discovery of effective disease modifying treatments for patients. Magnetic resonance imaging (MRI) is a promising, non-invasive biomarker candidate whose acquisition techniques and analysis methods are undergoing constant evolution in the pursuit of parameters which more closely represent biologically-applicable tissue changes. Neurite Orientation Dispersion and Density Imaging (NODDI; a form of diffusion imaging), and quantitative Magnetization Transfer Imaging (qMTi) are two such emerging modalities which have each broadened the understanding of other neurological disorders and have the potential to provide new insights into structural alterations initiated by the disease process in ALS. Furthermore, novel neuroimaging data analysis approaches such as Event-Based Modeling (EBM) may be able to circumvent the requirement for longitudinal scanning as a means to comprehend the dynamic stages of neurodegeneration <i>in vivo</i>. Combining these and other innovative imaging protocols with more sophisticated techniques to analyse ever-increasing datasets holds the exciting prospect of transforming understanding of the biological processes and temporal evolution of the ALS syndrome, and can only benefit from multicentre collaboration across the entire ALS research community.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Psychology
Cardiff University Brain Research Imaging Centre (CUBRIC)
Publisher: Frontiers
ISSN: 1664-2295
Date of First Compliant Deposit: 12 March 2021
Date of Acceptance: 22 November 2018
Last Modified: 05 May 2023 21:42
URI: https://orca.cardiff.ac.uk/id/eprint/139577

Citation Data

Cited 20 times in Scopus. View in Scopus. Powered By Scopus® Data

Actions (repository staff only)

Edit Item Edit Item

Downloads

Downloads per month over past year

View more statistics