Browsing Bergen Open Research Archive by Author "Rognes, Marie Elisabeth"
Now showing items 1-6 of 6
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Brain solute transport is more rapid in periarterial than perivenous spaces
Vinje, Vegard; Bakker, Erik N. T. P.; Rognes, Marie Elisabeth (Journal article; Peer reviewed, 2021)Fluid flow in perivascular spaces is recognized as a key component underlying brain transport and clearance. An important open question is how and to what extent differences in vessel type or geometry affect perivascular ... -
CSF circulation and dispersion yield rapid clearance from intracranial compartments
Hornkjøl, Martin; Valnes, Lars Magnus; Ringstad, Geir; Rognes, Marie Elisabeth; Eide, Per Kristian; Mardal, Kent-Andre; Vinje, Vegard (Journal article; Peer reviewed, 2022-09-12)In this paper, we used a computational model to estimate the clearance of a tracer driven by the circulation of cerebrospinal fluid (CSF) produced in the choroid plexus (CP) located within the lateral ventricles. CSF was ... -
Geometrically Reduced Modelling of Pulsatile Flow in Perivascular Networks
Daversin-Catty, Cécile; Gjerde, Ingeborg Gåseby; Rognes, Marie Elisabeth (Journal article; Peer reviewed, 2022)Flow of cerebrospinal fluid in perivascular spaces is a key mechanism underlying brain transport and clearance. In this paper, we present a mathematical and numerical formalism for reduced models of pulsatile viscous fluid ... -
Human intracranial pulsatility during the cardiac cycle: a computational modelling framework
Causemann, Marius; Vinje, Vegard; Rognes, Marie Elisabeth (Journal article; Peer reviewed, 2022)Background Today’s availability of medical imaging and computational resources set the scene for high-fidelity computational modelling of brain biomechanics. The brain and its environment feature a dynamic and complex ... -
A posteriori error estimation and adaptivity for multiple-network poroelasticity
Ødegaard, Emilie Eliseussen; Rognes, Marie Elisabeth; Thompson, Travis B. (Journal article; Peer reviewed, 2023)The multiple-network poroelasticity (MPET) equations describe deformation and pressures in an elastic medium permeated by interacting fluid networks. In this paper, we (i) place these equations in the theoretical context ... -
Validating a Computational Framework for Ionic Electrodiffusion with Cortical Spreading Depression as a Case Study
Ellingsrud, Ada Johanne; Dukefoss, Didrik Bakke; Enger, Rune; Halnes, Geir; Pettersen, Klas Henning; Rognes, Marie Elisabeth (Journal article; Peer reviewed, 2022)Cortical spreading depression (CSD) is a wave of pronounced depolarization of brain tissue accompanied by substantial shifts in ionic concentrations and cellular swelling. Here, we validate a computational framework for ...