Marie Elisabeth Rognes

Low-rank tensor decompositions reveal coupled spatiotemporal patterns of CSF tracer transport in the human brain

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.

Mechanochemical modeling of exercise-induced skeletal muscle hypertrophy

This paper develops a multiscale computational model to predict skeletal muscle hypertrophy by integrating mechanical and biochemical stimuli, showing how exercise protocols affect muscle growth and shape.

Stretch and flow at the gliovascular interface: high-fidelity modelling of astrocyte endfeet

The paper develops a high-fidelity computational model of astrocyte endfeet and perivascular spaces to study fluid dynamics and mechanical interactions in response to vascular pulsations.

Advection versus diffusion in brain ventricular transport

This study uses computational modeling and experiments to show that cilia drive advection of large particles while diffusion is key for small solute transport in brain ventricles.

One night of sleep deprivation reduces spatially patterned human brain clearance: implications for simulated tau propagation

This study shows that sleep deprivation reduces brain clearance rates but preserves their spatial pattern, affecting tau propagation differently in a computational model.

In-silico molecular enrichment and clearance of the human intracranial space

This paper develops an in-silico model of human intracranial molecular transport using mixed-dimensional modeling and MRI data, showing how CSF flow and PVS size affect tracer enrichment.

Spatial Modeling Algorithms for Reactions and Transport (SMART) in Biological Cells

The paper introduces SMART, a software tool for simulating cell signaling networks in realistic geometries, demonstrating its application to various biological systems.

Modeling CSF circulation and the glymphatic system during infusion using subject specific intracranial pressures and brain geometries

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.

Human brain solute transport quantified by glymphatic MRI-informed biophysics during sleep and sleep deprivation

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.

Neural activity induces strongly coupled electro-chemo-mechanical interactions and fluid flow in astrocyte networks and extracellular space - a computational study

The role of clearance in neurodegenerative diseases

This paper develops a mathematical model to study how brain clearance mechanisms interact with toxic protein progression and aging in neurodegenerative diseases like Alzheimer's.

CSF circulation and dispersion yield rapid clearancefrom intracranial compartments

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.

Validating a computational framework for ionicelectrodiffusion with cortical spreading depression as a case study

The paper validates a computational framework for modelling ion electrodiffusion during cortical spreading depression using experimental comparisons.

Uncertainty quantification of parenchymal tracer distribution using random diffusion and convective velocity fields

The paper quantifies uncertainty in tracer distribution in the brain by simulating diffusion and convection models and comparing results to experimental MRI data.