Ultra-strong diffusion-weighted MRI reveals cerebellar grey matter abnormalities in movement disorders

Tax, Chantal M. W.; Genc, Sila; MacIver, Claire; Nilsson, Markus; Wardle, Mark; Szczepankiewicz, Filip; Jones, Derek K.; Peall, Kathryn J.

doi:10.1016/j.nicl.2023.103419

Cited by 1 publication

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References 49 publications

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“…Note that this difference could also be attributed to the differences between the spinal cord and the rest of the brain. Other recent diffusion studies conducted with high b -values diffusion weighting 89,90 also highlight a very low diffusivity compartment especially present in the gray matter human cerebellum with a proportion of up to 15 % 90,91 which was attributed to cell bodies and thus intracellular water pools. Additional works demonstrate that such contrast can also be achieved with b-values up to 4 ms/µm 2 only.…”

Section: Discussionmentioning

confidence: 88%

In vivorat-brain mapping of multiple gray matter water populations using nonparametric D(ω)-R1-R2 distributions MRI

Yon,

Narvaez,

Topgaard

et al. 2024

Preprint

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Massively Multidimensional Diffusion MRI combines tensor-valued encoding, oscillating gradients, and diffusion-relaxation correlation to provide multicomponent sub-voxel parameters depicting the tissue microstructure. This method was successfully implementedex vivoin micro-imaging systems and in clinical conditions but with a reduced diffusion frequency (ω) range due to the use of classical tensor-valued encoding. We demonstrate here its preclinicalin vivoimplementation with a protocol of 389 contrast images probing a wide diffusion frequency range of 18 to 92 Hz atb-values up to 2.1 ms/µm2enabled by the use of modulated gradient waveforms and combined with multislice high-resolution and low-distortion EPI acquisition with segmented and full reversed phase-encode acquisition. This framework allows the identification of diffusionω-dependence in the rat cerebellum and olfactory bulb gray matter (GM) and the parameter distributions are shown to resolve two water pools in GM with different diffusion coefficients, shapes,ω-dependence, relaxation rates, and spatial repartition whose attribution to specific microstructure could modify the current understanding of the origin of restriction in GM.

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