Jasmine Nguyen‐Duc

OCTOPUS generates realistic digital brain cells with complex geometries to improve dMRI signal modeling and validate biophysical models.

The paper compares four gray matter biophysical models on a public dataset, finding consistent parameter estimates and highlighting trade-offs in model complexity and robustness.

This study compares isotropic ADC-fMRI and BOLD-fMRI in detecting resting-state networks and grey-to-white matter connectivity, finding ADC more sensitive to structural grounding and functional coupling.

This paper validates the NEXI model using diffusion Monte Carlo simulations in realistic gray matter substrates, showing it accurately recovers exchange times and disentangles exchange effects from microstructural features.

CATERPillar generates realistic white matter numerical substrates with axons and glial cells, validated against histology and diffusion models.

This study evaluates the Standard Model of diffusion MRI in white matter by testing it on realistic numerical substrates, revealing how model estimates change under various biological conditions and noise levels.

This study uses BOLD- and ADC-fMRI to investigate how the lateral superior colliculus contributes to the transition from static to dynamic vision in rats.

This study introduces isotropic ADC-fMRI to detect grey and white matter activity, showing it is more temporally specific than BOLD-fMRI and provides balanced mapping of both brain regions.

This study compares ADC-fMRI and BOLD-fMRI to show ADC-fMRI provides complementary insights into brain function by detecting neuromorphological activity in white matter and revealing functional organisation of visual pathways.

This study evaluates ADC-fMRI's dependence on haemodynamics during breath-hold and resting-state conditions, finding it less affected by vascular contributions compared to dfMRI and BOLD.