@misc{17858,
  author = {Marius Causemann and Rami Masri and Miroslav Kuchta and Marie Rognes},
  title = {Modelling molecular transport in human pial perivasculature},
  abstract = {Molecular transport in perivascular spaces (PVSs) plays a pivotal role in clearance and delivery in the human brain. Previous
studies indicate rapid movement of molecules in the subarachnoid space (SAS) and PVSs surrounding pial arteries, but the
exact mechanisms and influencing factors remain not fully understood.
This study leverages recent imaging data of the human pial vasculature to construct a comprehensive model of molecular
transport in the PVS, the parenchyma and its surrounding environment. Our approach uses a one-dimensional network to
represent the PVS, embedded within a three-dimensional model of the brain parenchyma and its surrounding cerebrospinal
fluid (CSF)-filled spaces. This approach facilitates fast yet accurate numerical simulations while taking into account the intricate
geometry of the brain and its vasculature.
We explore the contributions of diffusive and convective transport mechanisms, as well as potential barriers affecting molecular
movement. In particular, we consider the interaction between tissue and PVS, and the impact of varying convective flow fields
within the PVS. Additionally, we examine the potential barrier functions of membranes such as the subarachnoidal lymphatic-like
membrane (SLYM).
Our model provides a tool for investigating the complex processes of molecular transport in the brain, with potential implications
for our understanding of perivascular spaces and their role in brain clearance on the whole organ scale.
Molecular transport in perivascular spaces (PVSs) plays a pivotal role in clearance and delivery in the human brain. Represent-
ing the vasculature as a one-dimensional network embedded in a three-dimensional model of the brain parenchyma and its
environment, we explore the contributions of diffusive and convective transport mechanisms on the whole organ scale.},
  year = {2024},
  journal = {-},
  month = {17.06.2024},
  publisher = {Lund Glymphatics Symposium},
}