Study of Nerve Fiber Tracking Methodologies using Diffusion Tensor Magnetic Resonance Imaging

AbstractThe aim of this study was to investigate the mechanisms underlying demyelination and remyelination with 7.0 T multiparameter magnetic resonance imaging (MRI) in an alternative cuprizone (CPZ) mouse model of multiple sclerosis (MS). Sixty mice were divided into six groups (n = 10, each), and these groups were imaged with 7.0 T multiparameter MRI and treated with an alternative CPZ administration schedule. T2-weighted imaging (T2WI), susceptibility-weighted imaging (SWI), and diffusion tensor imaging (DTI) were used to compare the splenium of the corpus callosum (sCC) among the groups. Prussian blue and Luxol fast blue staining were performed to assess pathology. The correlations of the mean grayscale value (mGSV) of the pathology results and the MRI metrics were analyzed to evaluate the multiparameter MRI results. One-way ANOVA and post hoc comparison showed that the normalized T2WI (T2-nor), fractional anisotropy (FA), mean diffusivity (MD), radial diffusivity (RD), and axial diffusivity (AD) values were significantly different among the six groups, while the mean phase (Φ) value of SWI was not significantly different among the groups. Correlation analysis showed that the correlation between the T2-nor and mGSV was higher than that among the other values. The correlations among the FA, RD, MD, and mGSV remained instructive. In conclusion, ultrahigh-field multiparameter MRI can reflect the pathological changes associated with and the underlying mechanisms of demyelination and remyelination in MS after the successful establishment of an acute CPZ-induced model.

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Diffusion tensor magnetic resonance imaging of lesions in multiple sclerosis patients

Proceedings of the Nineteenth National Radio Science Conference ◽

10.1109/nrsc.2002.1022674 ◽

2003 ◽

Cited By ~ 1

Author(s):

I. Elshafiey

Keyword(s):

Magnetic Resonance Imaging ◽

Multiple Sclerosis ◽

Magnetic Resonance ◽

Diffusion Tensor ◽

Resonance Imaging ◽

Multiple Sclerosis Patients

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Diffusion Magnetic Resonance Imaging-Based Biomarkers for Neurodegenerative Diseases

International Journal of Molecular Sciences ◽

10.3390/ijms22105216 ◽

2021 ◽

Vol 22 (10) ◽

pp. 5216

Author(s):

Koji Kamagata ◽

Christina Andica ◽

Ayumi Kato ◽

Yuya Saito ◽

Wataru Uchida ◽

...

Keyword(s):

Magnetic Resonance Imaging ◽

Diffusion Tensor Imaging ◽

Magnetic Resonance ◽

Neurodegenerative Diseases ◽

Diffusion Magnetic Resonance Imaging ◽

New Technologies ◽

Diffusion Tensor ◽

Free Water ◽

Diffusion Kurtosis Imaging ◽

Resonance Imaging

There has been an increasing prevalence of neurodegenerative diseases with the rapid increase in aging societies worldwide. Biomarkers that can be used to detect pathological changes before the development of severe neuronal loss and consequently facilitate early intervention with disease-modifying therapeutic modalities are therefore urgently needed. Diffusion magnetic resonance imaging (MRI) is a promising tool that can be used to infer microstructural characteristics of the brain, such as microstructural integrity and complexity, as well as axonal density, order, and myelination, through the utilization of water molecules that are diffused within the tissue, with displacement at the micron scale. Diffusion tensor imaging is the most commonly used diffusion MRI technique to assess the pathophysiology of neurodegenerative diseases. However, diffusion tensor imaging has several limitations, and new technologies, including neurite orientation dispersion and density imaging, diffusion kurtosis imaging, and free-water imaging, have been recently developed as approaches to overcome these constraints. This review provides an overview of these technologies and their potential as biomarkers for the early diagnosis and disease progression of major neurodegenerative diseases.

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