Mathematical and computational foundations for modeling cerebral fluid flow.

Intracranial pressure elevation alters CSF clearance pathways

Autores: Vegard Vinje, Anders Eklund, Kent-Andre Mardal, Marie E. Rognes, Karen-Helene Støverud
Publicado en: Fluids and Barriers of the CNS, Edición 17/1, 2020, ISSN 2045-8118
Editor: BioMed Central
DOI: 10.1186/s12987-020-00189-1

Human intracranial pulsatility during the cardiac cycle: a computational modelling framework

Autores: Marius Causemann, Vegard Vinje & Marie E. Rognes
Publicado en: Fluids and Barriers of the CNS, Edición 19 (84), 2022, ISSN 2045-8118
Editor: BioMed Central
DOI: 10.1186/s12987-022-00376-2

A scalable solver for a stochastic, hybrid cellular automaton model of personalized breast cancer therapy

Autores: Xiaoran Lai, Håkon A. Taskén, Torgeir Mo, Simon W. Funke, Arnoldo Frigessi, Marie E. Rognes, Alvaro Köhn-Luque
Publicado en: International Journal for Numerical Methods in Biomedical Engineering, 2022, ISSN 2040-7947
Editor: Wiley-Blackwell
DOI: 10.1002/cnm.3542

A posteriori error estimation and adaptivity for multiple-network poroelasticity

Autores: Emilie Eliseussen, Marie E. Rognes, Travis B. Thompson
Publicado en: ESAIM: Mathematical Modelling and Numerical Analysis, 2023, ISSN 2804-7214
Editor: EDP Sciences
DOI: 10.1051/m2an/2023033

The mechanisms behind perivascular fluid flow

Autores: Cécile Daversin-Catty, Vegard Vinje, Kent-André Mardal, Marie E. Rognes
Publicado en: PLOS ONE, Edición 15/12, 2020, Página(s) e0244442, ISSN 1932-6203
Editor: Public Library of Science
DOI: 10.1371/journal.pone.0244442

The role of clearance in neurodegenerative diseases

Autores: Georgia S. Brennan, Travis B. Thompson, Hadrien Oliveri, Marie E. Rognes, Alain Goriely
Publicado en: SIAM Journal on Applied Mathematics, 2023, ISSN 1095-712X
Editor: SIAM
DOI: 10.1101/2022.03.31.486533

Fast uncertainty quantification of tracer distribution in the brain interstitial fluid with multilevel and quasi Monte Carlo

Autores: Matteo Croci, Vegard Vinje, Marie E. Rognes
Publicado en: International Journal for Numerical Methods in Biomedical Engineering, Edición 37/1, 2021, ISSN 2040-7939
Editor: John Wiley & Sons Ltd.
DOI: 10.1002/cnm.3412

Abstractions and Automated Algorithms for Mixed Domain Finite Element Methods

Autores: Cécile Daversin-Catty, Chris N. Richardson, Ada J. Ellingsrud, Marie E. Rognes
Publicado en: ACM Transactions on Mathematical Software, Edición 47/4, 2021, Página(s) 1-36, ISSN 0098-3500
Editor: Association for Computing Machinary, Inc.
DOI: 10.1145/3471138

Finite Element Simulation of Ionic Electrodiffusion in Cellular Geometries

Autores: Ada J. Ellingsrud, Andreas Solbrå, Gaute T. Einevoll, Geir Halnes, Marie E. Rognes
Publicado en: Frontiers in Neuroinformatics, Edición 14, 2020, ISSN 1662-5196
Editor: Frontiers Research Foundation
DOI: 10.3389/fninf.2020.00011

CSF circulation and dispersion yield rapid clearance from intracranial compartments

Autores: Martin Hornkjøl, Lars Magnus Valnes, Geir Ringstad, Marie E. Rognes, Per-Kristian Eide, Kent-Andre Mardal, Vegard Vinje
Publicado en: Frontiers in Bioengineering and Biotechnology, Edición 10, 2022, ISSN 2296-4185
Editor: Frontiers Media
DOI: 10.3389/fbioe.2022.932469

Geometrically Reduced Modelling of Pulsatile Flow in Perivascular Networks

Autores: Cécile Daversin-Catty, Ingeborg Gjerde, Marie E. Rognes
Publicado en: Frontiers in Physics, Edición 10, 2022, ISSN 2296-424X
Editor: Frontiers
DOI: 10.3389/fphy.2022.882260

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

Autores: Matteo Croci, Vegard Vinje, Marie E. Rognes
Publicado en: Fluids and Barriers of the CNS, Edición 16/1, 2019, ISSN 2045-8118
Editor: BioMed Central
DOI: 10.1186/s12987-019-0152-7

Toward Personalized Computer Simulation of Breast Cancer Treatment: A Multiscale Pharmacokinetic and Pharmacodynamic Model Informed by Multitype Patient Data

Autores: Xiaoran Lai, Oliver M. Geier, Thomas Fleischer, Øystein Garred, Elin Borgen, Simon W. Funke, Surendra Kumar, Marie E. Rognes, Therese Seierstad, Anne-Lise Børresen-Dale, Vessela N. Kristensen, Olav Engebraaten, Alvaro Köhn-Luque, Arnoldo Frigessi
Publicado en: Cancer Research, Edición 79/16, 2019, Página(s) 4293-4304, ISSN 0008-5472
Editor: American Association for Cancer Research
DOI: 10.1158/0008-5472.can-18-1804

Accurate discretization of poroelasticity without Darcy stability

Autores: Kent-Andre Mardal, Marie E. Rognes, Travis B. Thompson
Publicado en: BIT Numerical Mathematics, Edición 61/3, 2021, Página(s) 941-976, ISSN 0006-3835
Editor: Lunds Universitet
DOI: 10.1007/s10543-021-00849-0

Optimization of Hopf bifurcation points

Autores: Nicolas Boullé, Patrick E. Farrell, Marie E. Rognes
Publicado en: SIAM Journal on Scientific Computing, 2023, ISSN 1095-7197
Editor: SIAM
DOI: 10.48550/arxiv.2201.11684

Validating a Computational Framework for Ionic Electrodiffusion with Cortical Spreading Depression as a Case Study

Autores: Ada J. Ellingsrud, Didrik B. Dukefoss, Rune Enger, Geir Halnes, Klas Pettersen and Marie E. Rognes
Publicado en: eNeuro, Edición 9(2), 2022, ISSN 2373-2822
Editor: Society for Neuroscience
DOI: 10.1523/eneuro.0408-21.2022

Parameter Robust Preconditioning by Congruence for Multiple-Network Poroelasticity

Autores: E. Piersanti, J. J. Lee, T. Thompson, K.-A. Mardal, M. E. Rognes
Publicado en: SIAM Journal on Scientific Computing, Edición 43/4, 2021, Página(s) B984-B1007, ISSN 1064-8275
Editor: Society for Industrial and Applied Mathematics
DOI: 10.1137/20m1326751

Robust Approximation of Generalized Biot-Brinkman Problems

Autores: Qingguo Hong, Johannes Kraus, Miroslav Kuchta, Maria Lymbery, Kent-André Mardal, and Marie E. Rognes
Publicado en: Journal of Scientific Computing, Edición 93 (77), 2022, ISSN 1573-7691
Editor: Springer Nature
DOI: 10.1007/s10915-022-02029-w

Accurate numerical simulation of electrodiffusion and water movement in brain tissue

Autores: Ellingsrud, Ada J.; Boullé, Nicolas; Farrell, Patrick E.; Rognes, Marie E.
Publicado en: IMA Mathematical Medicine & Biology, Edición 13, 2021, ISSN 1477-8602
Editor: Oxford University Press
DOI: 10.1093/imammb/dqab016

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

Autores: Marte J. Sætra, Ada J. Ellingsrud, Marie E. Rognes
Publicado en: bioRxiv, 2023, ISSN 2692-8205
Editor: bioRxiv
DOI: 10.1101/2023.03.06.531247

Brain solute transport is more rapid in periarterial than perivenous spaces

Autores: Vegard Vinje; Erik NTP Bakker; Marie E Rognes
Publicado en: Scientific Reports, Edición 5, 2021, ISSN 2045-2322
Editor: Nature Publishing Group
DOI: 10.21203/rs.3.rs-361955/v1

A Cell-Based Model for Ionic Electrodiffusion in Excitable Tissue

Autores: Ada J. Ellingsrud, Cecile Daversin-Catty and Marie E. Rognes
Publicado en: Modeling Excitable Tissue, 2021
Editor: Springer Nature

Solving the EMI Equations using Finite Element Methods

Autores: Solving the EMI Equations using Finite Element Methods
Publicado en: Modeling Excitable Tissue, 2021
Editor: Springer Nature
DOI: 10.1007/978-3-030-61157-6_5

Astrocytic Ion Dynamics: Implications for Potassium Buffering and Liquid Flow

Autores: Geir Halnes, Klas H. Pettersen, Leiv Øyehaug, Marie E. Rognes, Gaute T. Einevoll
Publicado en: Computational Glioscience, Edición 1, 2019, Página(s) 363-391
Editor: Springer Nature

Inducing Flow Instabilities in Aneurysm Geometries via the Reynolds-Orr Method

Autores: Alessandro Contri, Christina Taylor, Justin Tso, Ingeborg Gjerde
Publicado en: Computational Physiology Simula Summer School 2022, 2023
Editor: Springer Nature

A Computational Study of Flow Instabilities in Aneurysms

Autores: Nanna Berre, Gabriela Castro, Henrik Kjeldsberg, Rami Masri, Ingeborg Gjerde
Publicado en: Computational Physiology Simula Summer School 2021, 2022
Editor: Springer Nature

A mixed framework for topological model reduction of coupled PDEs

Autores: Ingeborg G. Gjerde, Marie E. Rognes
Publicado en: Proceedings of the IX International Conference on Computational Methods for Coupled Problems in Science and Engineering, 2021
Editor: N/A

Parameter Robust Preconditioning for Multi-Compartmental Darcy Equations

Autores: Eleonora Piersanti, Marie E. Rognes, Kent-Andre Mardal
Publicado en: Lecture Notes in Computational Science and Engineering book series (LNCSE,volume 139), 2020
Editor: Springer Nature

Parametric exploration of cellular swelling in a computational model of cortical spreading depression

Autores: Barbara Genocchi, Andre Cunha, Soumil Jain, Jari Hyttinen, Kerstin Lenk, Ada Johanne Ellingsrud
Publicado en: 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2020
Editor: IEEE
DOI: 10.1109/embc44109.2020.9175306

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

Autores: Vegard Vinje, Bastian Zapf, Geir Ringstad, Per Kristian Eide, Marie E. Rognes, Kent-Andre Mardal
Publicado en: bioRxiv, 2023, ISSN 2692-8205
Editor: Cold Spring Harbor Laboratory
DOI: 10.1101/2023.01.01.522190

Graphnics: Combining FEniCS and NetworkX to simulate flow in complex networks

Autores: Ingeborg G. Gjerde
Publicado en: arXiv, 2022, ISSN 2331-8422
Editor: Cornell University
DOI: 10.48550/arxiv.2212.02916

Are brain displacements and pressures within the parenchyma induced by surface pressure differences? A computational modelling study

Autores: Eleonora Piersanti, Marie E. Rognes, Vegard Vinje
Publicado en: bioRxiv, 2023, ISSN 2692-8205
Editor: Cold Spring Harbor Laboratory
DOI: 10.1101/2022.09.07.506967

The modelling error in multi-dimensional time-dependent solute transport models

Autores: Rami Masri, Marius Zeinhofer, Miroslav Kuchta, Marie E. Rognes
Publicado en: arXiv, 2023, ISSN 2331-8422
Editor: Cornell University
DOI: 10.48550/arxiv.2303.17999

Mathematical Modeling of the Human Brain: From Magnetic Resonance Images to Finite Element Simulation

Autores: Kent-André Mardal, Marie E. Rognes, Travis B. Thompson, Lars Magnus Valnes
Publicado en: Simula SpringerBriefs on Computing, Edición 10, 2022, ISSN 2512-1685
Editor: Springer Nature
DOI: 10.1007/978-3-030-95136-8

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