Jelle Veraart

This study uses MRI and histopathology in squirrel monkeys to link R2* changes with CAA severity and ARIA-related tissue injury, supporting early detection and treatment strategies.

The paper integrates spatial transcriptomics and cortical networks in macaques to identify cellular correlates of aging, finding age-related declines in transmodal networks linked to inhibitory and glial cells.

This study shows that higher diffusion-weighting strengths (b-values) improve connectome reconstruction accuracy by reducing fiber orientation uncertainty, but SNR loss limits benefits beyond b=6000 s/mm2.

The paper evaluates test-retest reliability of brain imaging metrics across multiple sites and scanners, finding significant differences in reliability between scanner types.

PyDesigner is a Python package that preprocesses diffusion MRI data and estimates tensors, improving accuracy and robustness of diffusion and kurtosis metrics.

This paper introduces a unified signal readout approach for multi-parametric spinal cord MRI, combined with MP-PCA denoising, improving the quality and consistency of microstructural metrics.

The paper segments and quantifies axonal dispersion and diameter in mouse brain corpus callosum using electron microscopy and a semi-automatic algorithm, showing orientation metrics are time-independent while diameter depends on MRI settings.