Magnetic resonance metrics for identification of cuprizone-induced demyelination in the mouse model of neurodegeneration: a review
Open accessAbstract
Neurodegenerative disorders, including Multiple Sclerosis (MS), are heterogenous disorders which affect the myelin sheath of the central nervous system (CNS). Magnetic Resonance Imaging (MRI) provides a non-invasive method for studying, diagnosing, and monitoring disease progression. As an emerging research area, many studies have attempted to connect MR metrics to underlying pathophysiological presentations of heterogenous neurodegeneration. Most commonly, small animal models are used, including Experimental Autoimmune Encephalomyelitis (EAE), Theiler's Murine Encephalomyelitis (TMEV), and toxin models including cuprizone (CPZ), lysolecithin, and ethidium bromide (EtBr). A contrast and comparison of these models is presented, with focus on the cuprizone model, followed by a review of literature studying neurodegeneration using MRI and the cuprizone model. Conventional MRI methods including T 1 Weighted (T 1 W) and T 2 Weighted (T 2 W) Imaging are mentioned. Quantitative MRI methods which are sensitive to diffusion, magnetization transfer, susceptibility, relaxation, and chemical composition are discussed in relation to studying the CPZ model. Overall, additional studies are needed to improve both the sensitivity and specificity of MRI metrics for underlying pathophysiology of neurodegeneration and the relationships in attempts to clear the clinico-radiological paradox. We therefore propose a multiparametric approach for the investigation of MR metrics for underlying pathophysiology.
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- Authors
- Friesen, E., Hari, K., Sheft, M., Thiessen, J. D., & Martin, M.
- Affiliations
- The University of Winnipeg (CA)
- Massachusetts Institute of Technology (US)
- Western University (CA)
- Corresponding author
- Friesen, Emma
- Venue
- Magnetic Resonance Materials in Physics, Biology and Medicine
- Published
- 2024-04-18
- Volume
- 37
- Issue
- 5
- Pages
- 765-790
- ISSN
- 0968-5243 (ISSN-L)
- 1352-8661
- OpenAlex
- W4394919467
- Cited by
- 7
- References
- 75
- Citations by year
- 2026: 3 · 2025: 3 · 2024: 1
- FWCI
- 0.52
- Type
- journal article
- Language
- en
- Open access
- green
- hdl.handle.net
- Licence
- Locations
- Magnetic Resonance Materials in Physics Biology and Medicine (publishedVersion)
- PubMed (publishedVersion)
- DSpace@MIT (Massachusetts Institute of Technology) (submittedVersion, cc-by-nc)
- Funders
- Natural Sciences and Engineering Research Council of Canada
- Mitacs
- Canadian Foundation for Innovation
- Research Manitoba
- Topics
- Health Sciences › Medicine › Pathology and Forensic Medicine › Multiple Sclerosis Research Studies
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Keywords
- cuprizone, demyelination, multiple sclerosis, neurodegeneration, quantitative MRI, diffusion MRI, magnetization transfer, susceptibility, relaxometry, chemical composition, T1-weighted imaging, T2-weighted imaging, mouse model, experimental autoimmune encephalomyelitis, lysophosphatidylcholine, ethidium bromide
- MeSH terms
- Animals, Cuprizone, Demyelinating Diseases, Disease Models, Animal, Encephalomyelitis, Autoimmune, Experimental, Humans, Magnetic Resonance Imaging, Multiple Sclerosis, Myelin Sheath, Sensitivity and Specificity, Neurodegenerative Diseases, Mice
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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