Multiparametric MRI Can Detect Enhanced Myelination in the Ex Vivo <i>Gli1</i><sup><i>−/−</i></sup> Mouse Brain

This study investigated the potential of combining multiple MR parameters to enhance the characterization of myelin in the mouse brain. We collected ex vivo multiparametric MR data at 7 T from control and Gli1<sup>-/-</sup> mice; the latter exhibit enhanced myelination at Postnatal Day 10 (P10) in the corpus callosum and cortex. The MR data included relaxivity, magnetization transfer, and diffusion measurements, each targeting distinct myelin properties. This analysis was followed by and compared to myelin basic protein (MBP) staining of the same samples. Although a majority of the MR parameters included in this study showed significant differences in the corpus callosum between the control and Gli1<sup>-/-</sup> mice, only T<sub>2</sub>, T<sub>1</sub>/T<sub>2</sub>, and radial diffusivity (RD) demonstrated a significant correlation with MBP values. Based on data from the corpus callosum, partial least square regression suggested that combining T<sub>2</sub>, T<sub>1</sub>/T<sub>2</sub>, and inhomogeneous magnetization transfer ratio could explain approximately 80% of the variance in the MBP values. Myelin predictions based on these three parameters yielded stronger correlations with the MBP values in the P10 mouse brain corpus callosum than any single MR parameter. In the motor cortex, combining T<sub>2</sub>, T<sub>1</sub>/T<sub>2</sub>, and radial kurtosis could explain over 90% of the variance in the MBP values at P10. This study demonstrates the utility of multiparametric MRI in improving the detection of myelin changes in the mouse brain.

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Publication Details

Journal
NMR in Biomedicine
Published
2025-04-02
DOI
https://doi.org/10.1002/nbm.70025
Primary Topic
Advanced Neuroimaging Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.00

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article

Multiparametric MRI Can Detect Enhanced Myelination in the Ex Vivo Gli1−/− Mouse Brain

Jiangyang Zhang, Choong H. Lee, James L. Salzer, Mara Holloman
NMR in Biomedicine
Advanced Neuroimaging Techniques and Applications
article

Multiparametric MRI Can Detect Enhanced Myelination in the Ex Vivo Gli1−/− Mouse Brain

Jiangyang Zhang, Choong H. Lee, James L. Salzer, Mara Holloman
article en

Abstract

This study investigated the potential of combining multiple MR parameters to enhance the characterization of myelin in the mouse brain. We collected ex vivo multiparametric MR data at 7 T from control and Gli1<sup>-/-</sup> mice; the latter exhibit enhanced myelination at Postnatal Day 10 (P10) in the corpus callosum and cortex. The MR data included relaxivity, magnetization transfer, and diffusion measurements, each targeting distinct myelin properties. This analysis was followed by and compared to myelin basic protein (MBP) staining of the same samples. Although a majority of the MR parameters included in this study showed significant differences in the corpus callosum between the control and Gli1<sup>-/-</sup> mice, only T<sub>2</sub>, T<sub>1</sub>/T<sub>2</sub>, and radial diffusivity (RD) demonstrated a significant correlation with MBP values. Based on data from the corpus callosum, partial least square regression suggested that combining T<sub>2</sub>, T<sub>1</sub>/T<sub>2</sub>, and inhomogeneous magnetization transfer ratio could explain approximately 80% of the variance in the MBP values. Myelin predictions based on these three parameters yielded stronger correlations with the MBP values in the P10 mouse brain corpus callosum than any single MR parameter. In the motor cortex, combining T<sub>2</sub>, T<sub>1</sub>/T<sub>2</sub>, and radial kurtosis could explain over 90% of the variance in the MBP values at P10. This study demonstrates the utility of multiparametric MRI in improving the detection of myelin changes in the mouse brain.

NMR in BiomedicineVol. 38(5)
New York University (US)
National Institutes of Health, National Institute of Neurological Disorders and Stroke, National Institute of Biomedical Imaging and Bioengineering, National Institute of Child Health and Human Development
Openalex Percentile: Top 90%
Advanced Neuroimaging Techniques and Applications
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