@article {paper42,
	title = {Human intracranial pulsatility during the cardiac cycle: a computational modelling framework},
	journal = {Fluids and Barriers of the Central Nervous System},
	volume = {19},
	number = {1},
	year = {2022},
	pages = {1-17},
	publisher = {Springer},
	url = {https://doi.org/10.1101/2022.05.19.492650},
	author = {Causemann, Marius and Vinje, Vegard and Marie E. {Rognes}}
}
@misc {42942,
	title = {The pulsating brain: an interface-coupled fluid-poroelastic model of the cranial cavity},
	howpublished = {ECCOMAS Congress 2022, Oslo, Norway},
	year = {2022},
	publisher = {ECCOMAS CONGRESS 2022},
	abstract = {Driven by cardiac and respiratory pulsations, our brain and the cerebrospinal (CSF) fluidsurrounding it exhibit complex fluid flow and displacement patterns. Despite being essen-tial to normal brain function, our understanding of intracranial dynamics is still limited,and various diseases are associated with impaired CSF flow and elevated intracranial pres-sure [1]. Computational models offer further insights into pulsatile intracranial dynamics,but are complicated by the close interplay of arterial inflow, venous outflow, CSF motionand brain tissue movement inside the rigid cranial cavity.In this talk, I will present a new computational model of cardiac-induced pulsatile motioninside the human cranial cavity. The CSF flow in the subarachnoid space and ventricularsystem is modelled using the time-dependent Stokes equations, and coupled with Biot{\textquoteright}sporoelasticity equations in the brain tissue, thus integrating all major intracranial con-stituents into the modelling approach. Employing the pulsatile inflow of blood into braintissue as a driver of motion, the model enables us to study the dynamics of the entireintracranial system.The model is discretized using a coupled/monolithic approach with a mixedTaylor-Hood type finite element scheme and implemented with the finite element frame-work FEniCS. Numerical results obtained with a detailed 3D human head model andphysiological material parameters are presented and compared with experimental data.The new model faithfully replicates the main aspects of intracranial pulsatile motion.},
	keywords = {brain mechanics, Finite element method, interface coupling, multiphysics problems},
	author = {Causemann, Marius and Vinje, Vegard and Marie E. {Rognes}}
}
@misc {marius_causemann_2022_6553790,
	title = {Software and Data for "Human intracranial pulsatility during the cardiac cycle: a computational modelling framework"},
	year = {2022},
	publisher = {Zenodo},
	abstract = {This repository contains the code, meshes and data required to reproduce the results of the article "Human intracranial pulsatility during the cardiac cycle: a computational modelling framework", M. Causemann, V. Vinje and M.E. Rognes (2022).The easiest way of getting the code running is based on snakemake and singularity: Installing both (using .e.g conda:\&nbsp;\&nbsp;conda create -c bioconda -c conda-forge -n snakemake snakemake singularity) and running\&nbsp;snakemake --cores N\&nbsp;will run pull a docker image (mcause/brainsim:openblas) and execute all steps on N cores. Note however, that the required computational resources are quite large and unlikely to be met by a desktop computer. Snakemake also supports submitting jobs on a SLURM cluster via the\&nbsp;--profile profile_folder_name\&nbsp;option. An example of a profile configuration can be found in the\&nbsp;ex3\&nbsp;folder.The complete workflow is defined in the \&nbsp;Snakefile, which hence also provides documentation of the individual steps.},
	doi = {10.5281/zenodo.6553790},
	url = {{https://doi.org/10.5281/zenodo.6553790},
	author = {Causemann, Marius and Vinje, Vegard and Marie E. {Rognes}}
}
