Chantal M. W. Tax

This paper develops a high-resolution MRI platform for live cortical organoids, revealing microstructural features and temporal changes with 20 µm resolution.

Radial diffusivity asymmetry driving DTI-ALPS indices pervades white matter, persists at high b-values, and tracks crossing fibers, axonal undulation and dispersion rather than perivascular diffusion.

This study compares the orientation of white matter nerve fibers and vasculature in the human brain using diffusion MRI and susceptibility weighted imaging, finding that vasculature aligns with some but not all white matter tracts.

The paper uses MRI to show age-related changes in cortical microstructure that align with oligodendrocyte gene expression during development.

This study examines age-related changes in microstructure-informed cortical networks using diffusion MRI data from 8-18 year olds, finding increased global efficiency and mean strength in specific networks.

This paper develops a surface-based tractography method for short association fibres in the human brain, showing it produces longer streamlines and high cortical coverage but with limited reliability and repeatability.

This study quantifies the prevalence of bottleneck regions in white matter where multiple fiber populations share the same orientation, showing over 50-70% of fixels are affected, leading to potential errors in tractography.

This study evaluates variability in white matter bundle segmentation across 42 groups using the same dataset, finding protocol variability exceeds other sources of inconsistency.

This study evaluates how scanner, vendor, resolution, diffusion scheme, and segmentation workflow variations affect diffusion tractography bundle segmentation results.

This study investigates how inaccuracies in response function calibration affect fiber orientation distribution (FOD) characteristics and fiber tracking in diffusion MRI.

This study assesses the repeatability of soma and neurite metrics in grey matter using diffusion MRI across five scans of six healthy adults, finding high reliability in key measures.

This study uses multiple MRI techniques to analyze microstructural changes in white matter tracts after spatial navigation training in rats, finding significant distributional changes in myelin-specific measures.

This paper introduces a method to estimate orientation-specific relaxation-diffusion features using nonparametric Monte Carlo MRI signal inversion, enabling detailed analysis of white matter microstructure.

This paper introduces automated methods to estimate noise distributions in diffusion MRI data using Gamma distribution moments and maximum likelihood, showing improved accuracy over Rician assumptions.

This study examines how different b-value settings affect apparent fibre density estimates in diffusion MRI, finding that higher b-values improve accuracy in capturing intra-axonal signal properties and age-related microstructural changes.

The paper investigates the dot-compartment in diffusion MRI using ultra-strong gradients and spherical tensor encoding, finding residual signals in cerebellar grey matter and white matter.

This paper reduces the dimensionality of diffusion MRI measures to identify biologically interpretable components that capture age-related changes in white matter microstructure.

This study assesses the reproducibility of manual segmentation of the pyramidal tract in diffusion MRI tractography across experts and non-experts, finding voxel-wise measures more reproducible than streamline-wise ones.

The paper evaluates tractography methods by analyzing a simulated dataset, finding that most algorithms generate many false-positive connections.