Literature DB >> 29360574

Investigating the effects of a penetrating vessel occlusion with a multi-scale microvasculature model of the human cerebral cortex.

Wahbi K El-Bouri1, Stephen J Payne2.   

Abstract

The effect of the microvasculature on observed clinical parameters, such as cerebral blood flow, is poorly understood. This is partly due to the gap between the vessels that can be individually imaged in humans and the microvasculature, meaning that mathematical models are required to understand the role of the microvasculature. As a result, a multi-scale model based on morphological data was developed here that is able to model large regions of the human microvasculature. From this model, a clear layering of flow (and 1-dimensional depth profiles) was observed within a voxel, with the flow in the microvasculature being driven predominantly by the geometry of the penetrating vessels. It also appears that the pressure and flow are decoupled, both in healthy vasculatures and in those where occlusions have occurred, again due to the topology of the penetrating vessels shunting flow between them. Occlusion of a penetrating arteriole resulted in a very high degree of overlap of blood pressure drop with experimentally observed cell death. However, drops in blood flow were far more widespread, providing additional support for the theory that pericyte controlled regulation on the capillary scale likely plays a large part in the perfusion of tissue post-occlusion.
Copyright © 2018 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Cerebral blood flow; Cerebral microcirculation; Haemodynamics; Micro-infarct; Penetrating arterioles

Mesh:

Year:  2018        PMID: 29360574     DOI: 10.1016/j.neuroimage.2018.01.049

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  9 in total

1.  Poster Viewing Sessions PB01-B01 to PB03-V09.

Authors: 
Journal:  J Cereb Blood Flow Metab       Date:  2019-07       Impact factor: 6.200

2.  Simulation of oxygen transport and estimation of tissue perfusion in extensive microvascular networks: Application to cerebral cortex.

Authors:  Jose T Celaya-Alcala; Grace V Lee; Amy F Smith; Bohan Li; Sava Sakadžić; David A Boas; Timothy W Secomb
Journal:  J Cereb Blood Flow Metab       Date:  2020-06-05       Impact factor: 6.200

3.  A porous circulation model of the human brain for in silico clinical trials in ischaemic stroke.

Authors:  T I Józsa; R M Padmos; N Samuels; W K El-Bouri; A G Hoekstra; S J Payne
Journal:  Interface Focus       Date:  2020-12-11       Impact factor: 3.906

4.  Dynamic Changes in Microvascular Flow Conductivity and Perfusion After Myocardial Infarction Shown by Image-Based Modeling.

Authors:  Polyxeni Gkontra; Wahbi K El-Bouri; Kerri-Ann Norton; Andrés Santos; Aleksander S Popel; Stephen J Payne; Alicia G Arroyo
Journal:  J Am Heart Assoc       Date:  2019-04-02       Impact factor: 5.501

5.  Modelling the impact of clot fragmentation on the microcirculation after thrombectomy.

Authors:  Wahbi K El-Bouri; Andrew MacGowan; Tamás I Józsa; Matthew J Gounis; Stephen J Payne
Journal:  PLoS Comput Biol       Date:  2021-03-12       Impact factor: 4.475

6.  A nonlinear multi-scale model for blood circulation in a realistic vascular system.

Authors:  Ulin Nuha A Qohar; Antonella Zanna Munthe-Kaas; Jan Martin Nordbotten; Erik Andreas Hanson
Journal:  R Soc Open Sci       Date:  2021-12-01       Impact factor: 2.963

7.  Quantification of hypoxic regions distant from occlusions in cerebral penetrating arteriole trees.

Authors:  Yidan Xue; Theodosia Georgakopoulou; Anne-Eva van der Wijk; Tamás I Józsa; Ed van Bavel; Stephen J Payne
Journal:  PLoS Comput Biol       Date:  2022-08-05       Impact factor: 4.779

8.  Modeling Cerebral Blood Flow Dependence on Carbon Dioxide and Mean Arterial Blood Pressure in the Immature Brain With Accounting for the Germinal Matrix.

Authors:  Irina Sidorenko; Varvara Turova; Nikolai Botkin; Laura Eckardt; Ana Alves-Pinto; Ursula Felderhoff-Müser; Esther Rieger-Fackeldey; Andrey Kovtanyuk; Renée Lampe
Journal:  Front Neurol       Date:  2018-10-09       Impact factor: 4.003

9.  On the Sensitivity Analysis of Porous Finite Element Models for Cerebral Perfusion Estimation.

Authors:  T I Józsa; R M Padmos; W K El-Bouri; A G Hoekstra; S J Payne
Journal:  Ann Biomed Eng       Date:  2021-06-21       Impact factor: 3.934

  9 in total

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