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Journal ArticleDOI

Quantitative MRI and ultrastructural examination of the cuprizone mouse model of demyelination

TLDR
Of the calculated MRI metrics, ƒ was the strongest indicator of myelin content, while longitudinal relaxation rates and diffusivity measurements were the strongest indicators of changes in tissue structure, like previous studies of multiple sclerosis in humans and animal models of demyelination.
Abstract
The cuprizone mouse model of demyelination was used to investigate the influence that white matter changes have on different magnetic resonance imaging results. In vivo T2-weighted and magnetization transfer images (MTIs) were acquired weekly in control (n = 5) and cuprizone-fed (n = 5) mice, with significant increases in signal intensity in T2-weighted images (p < 0.001) and lower magnetization transfer ratio (p < 0.001) in the corpus callosum of the cuprizone-fed mice starting at 3 weeks and peaking at 4 and 5 weeks, respectively. Diffusion tensor imaging (DTI), quantitative MTI (qMTI), and T1/T2 measurements were used to analyze freshly excised tissue after 6 weeks of cuprizone administration. In multicomponent T2 analysis with 10 ms echo spacing, there was no visible myelin water component associated with the short T2 value. Quantitative MTI metrics showed significant differences in the corpus callosum and external capsule of the cuprizone-fed mice, similar to previous studies of multiple sclerosis in humans and animal models of demyelination. Fractional anisotropy was significantly lower and mean, axial, and radial diffusivity were significantly higher in the cuprizone-fed mice. Cellular distributions measured in electron micrographs of the corpus callosum correlated strongly to several different quantitative MRI metrics. The largest Spearman correlation coefficient varied depending on cellular type: T1 versus the myelinated axon fraction (ρ = −0.90), the bound pool fraction (ƒ) versus the myelin sheath fraction (ρ = 0.93), and axial diffusivity versus the non-myelinated cell fraction (ρ = 0.92). Using Pearson's correlation coefficient, ƒ was strongly correlated to the myelin sheath fraction (r = 0.98) with a linear equation predicting myelin content (5.37ƒ − 0.25). Of the calculated MRI metrics, ƒ was the strongest indicator of myelin content, while longitudinal relaxation rates and diffusivity measurements were the strongest indicators of changes in tissue structure. Copyright © 2013 John Wiley & Sons, Ltd.

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Citations
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Journal ArticleDOI

Design and validation of diffusion MRI models of white matter.

TL;DR: A review of biophysical white matter models in use and their validation and up-to-date efforts to validate parameters estimated from biophysical models to solve the remaining open questions and converge towards consensus is presented.
Journal ArticleDOI

Delineation of early brain development from fetuses to infants with diffusion MRI and beyond.

TL;DR: Findings are summarized that contribute to charting spatiotemporally heterogeneous gray and white matter structural development, offering MRI‐based biomarkers of typical brain development and setting the stage for understanding aberrant brain development in neurodevelopmental disorders.
Journal ArticleDOI

In vivo quantification of demyelination and recovery using compartment-specific diffusion MRI metrics validated by electron microscopy.

TL;DR: Increased specificity of the axonal water fraction and extra-axonal radial diffusivity parameters to different degrees and patterns of demyelination was revealed, representing promising candidates as clinically feasible biomarkers of demYelination and remyelinated in the white matter.
Journal ArticleDOI

Diffusion kurtosis imaging probes cortical alterations and white matter pathology following cuprizone induced demyelination and spontaneous remyelination.

TL;DR: In this article, the authors used the well-characterized cuprizone mouse model of central nervous system demyelination to assess the temporal evolution of diffusion tensor (DT), diffusion kurtosis tensors (DK) and WMTI-derived metrics.
References
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Book

The Mouse Brain in Stereotaxic Coordinates

TL;DR: The 3rd edition of this atlas is now in more practical 14"x11" format for convenient lab use and includes a CD of all plates and diagrams, as well as Adobe Illustrator files of the diagrams, and a variety of additional useful material.
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Scale-space and edge detection using anisotropic diffusion

TL;DR: A new definition of scale-space is suggested, and a class of algorithms used to realize a diffusion process is introduced, chosen to vary spatially in such a way as to encourage intra Region smoothing rather than interregion smoothing.
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The basis of anisotropic water diffusion in the nervous system – a technical review

TL;DR: The purpose of this review is to characterize the relationship of nuclear magnetic resonance measurements of water diffusion and its anisotropy (i.e. directional dependence) with the underlying microstructure of neural fibres.
Journal ArticleDOI

Dysmyelination Revealed through MRI as Increased Radial (but Unchanged Axial) Diffusion of Water

TL;DR: The use of magnetic resonance diffusion tensor imaging to quantify the effect of dysmyelination on water directional diffusivities in brains of shiverer mice in vivo suggests that changes in lambda(perpendicular) and lambda(parallel) may potentially be used to differentiate myelin loss versus axonal injury.
Journal ArticleDOI

Diffusion Tensor Imaging of the Brain

TL;DR: Diffusion tensor imaging (DTI) is a promising method for characterizing microstructural changes or differences with neuropathology and treatment and the biological mechanisms, acquisition, and analysis of DTI measurements are addressed.
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