Abstract #1218

Characterization of a Novel Hypomyelination Mouse Model Using Microstructural Imaging of Myelin Volume Fraction and Axon g-ratio

Vladimir Grouza^1,2, Zhe Wu^1,3, Marius Tuznik^1,2, Hooman Bagheri⁴, Dan Wu⁵, Alan C Peterson^2,4,6, and David Rudko^1,2,7

¹McConnell Brain Imaging Centre, Montreal Neurological Institute and Hospital, Montreal, QC, Canada, ²Department of Neurology and Neurosurgery, McGill University, Montreal, QC, Canada, ³Techna Institute, University Health Network, Toronto, ON, Canada, ⁴Department of Human Genetics, McGill University, Montreal, QC, Canada, ⁵Russell H. Morgan Department of Radiology & Radiological Science, Johns Hopkins University, Baltimore, MD, United States, ⁶Gerald Bronfman Department of Oncology, McGill University, Montreal, QC, Canada, ⁷Department of Biomedical Engineering, McGill University, Montreal, QC, Canada

We investigated a novel mouse model of CNS hypomyelination using T₂* weighted mGRE and diffusion weighted imaging. By integrating a recently developed method for MWF estimation from mGRE data (BSS-rPCA), we observed strong correlations between Mbp/Golli mRNA expression levels and MVF in select WM tracts in the brain. In addition, WM tract g-ratio values computed from BSS-rPCA MVF combined with NODDI-derived parameters were consistent with those found in the literature computed using differing methods. These results support integrating BSS-rPCA MWF estimates into quantitative microstructure evaluation workflows.

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