Kent‐André Mardal

The paper uses low-rank tensor decompositions to analyze glymphatic MRI data and identifies spatiotemporal patterns of CSF tracer transport in the human brain, revealing differences between iNPH and reference cohorts.

This study predicts tracer distribution in the brain using geometric MRI data, showing strong correlation with actual tracer enrichment in patients with similar diagnoses.

The paper tests numerical methods for reconstructing cerebrospinal fluid flow from contrast-enhanced MRI data, finding that methods perform well in idealized settings but struggle with patient-specific data.

The paper estimates bulk fluid flow velocities in cortical brain tissue using computational simulations, finding that both filtration and pulsations can drive fluid flow.

The paper develops a computational model to assess how brain geometry, intracranial pressure, and physiological parameters affect CSF circulation and glymphatic system function during infusion tests in iNPH patients and healthy controls.

The paper quantifies human brain solute transport mechanisms using MRI data and computational modeling, showing that enhanced extracellular diffusion and advection are key during sleep.

The paper models CSF circulation to show that convection in the subarachnoid space rapidly clears tracers from intracranial compartments, reducing clearance time from years to days compared to diffusion.

The paper shows sleep cycle-dependent changes in perivascular spaces enhance cerebrospinal fluid flow and solute transport in sleeping mice.

This paper assesses how neural probe shape and size affect extracellular potentials and introduces a correction method to account for their influence.