Literature DB >> 24389244

Reproduction of consistent pulse-waveform changes using a computational model of the cerebral circulatory system.

Mark Connolly1, Xing He2, Nestor Gonzalez3, Paul Vespa3, Joe DiStefano4, Xiao Hu5.   

Abstract

Due to the inaccessibility of the cranial vault, it is difficult to study cerebral blood flow dynamics directly. A mathematical model can be useful to study these dynamics. The model presented here is a novel combination of a one-dimensional fluid flow model representing the major vessels of the circle of Willis (CoW), with six individually parameterized auto-regulatory models of the distal vascular beds. This model has the unique ability to simulate high temporal resolution flow and velocity waveforms, amenable to pulse-waveform analysis, as well as sophisticated phenomena such as auto-regulation. Previous work with human patients has shown that vasodilation induced by CO2 inhalation causes 12 consistent pulse-waveform changes as measured by the morphological clustering and analysis of intracranial pressure algorithm. To validate this model, we simulated vasodilation and successfully reproduced 9 out of the 12 pulse-waveform changes. A subsequent sensitivity analysis found that these 12 pulse-waveform changes were most affected by the parameters associated with the shape of the smooth muscle tension response and vessel elasticity, providing insight into the physiological mechanisms responsible for observed changes in the pulse-waveform shape.
Copyright © 2013 IPEM. All rights reserved.

Entities:  

Keywords:  Cerebral autoregulation; Cerebral blood flow; Circle of Willis; Computational model; Pulse-waveform; Vasodilation

Mesh:

Substances:

Year:  2014        PMID: 24389244      PMCID: PMC4270797          DOI: 10.1016/j.medengphy.2013.12.003

Source DB:  PubMed          Journal:  Med Eng Phys        ISSN: 1350-4533            Impact factor:   2.242


  32 in total

1.  Modeling blood flow circulation in intracranial arterial networks: a comparative 3D/1D simulation study.

Authors:  L Grinberg; E Cheever; T Anor; J R Madsen; G E Karniadakis
Journal:  Ann Biomed Eng       Date:  2010-07-27       Impact factor: 3.934

2.  Computation of hemodynamics in the circle of Willis.

Authors:  Martin Sandve Alnaes; Jørgen Isaksen; Kent-André Mardal; Bertil Romner; Michael K Morgan; Tor Ingebrigtsen
Journal:  Stroke       Date:  2007-08-02       Impact factor: 7.914

3.  Vascular graph model to simulate the cerebral blood flow in realistic vascular networks.

Authors:  Johannes Reichold; Marco Stampanoni; Anna Lena Keller; Alfred Buck; Patrick Jenny; Bruno Weber
Journal:  J Cereb Blood Flow Metab       Date:  2009-05-13       Impact factor: 6.200

Review 4.  Modeling perfusion in the cerebral vasculature.

Authors:  T David; S Moore
Journal:  Med Eng Phys       Date:  2008-11-05       Impact factor: 2.242

5.  Consistent changes in intracranial pressure waveform morphology induced by acute hypercapnic cerebral vasodilatation.

Authors:  Shadnaz Asgari; Marvin Bergsneider; Robert Hamilton; Paul Vespa; Xiao Hu
Journal:  Neurocrit Care       Date:  2011-08       Impact factor: 3.210

6.  Relationship between angiographic vasospasm and regional hypoperfusion in aneurysmal subarachnoid hemorrhage.

Authors:  Rajat Dhar; Michael T Scalfani; Spiros Blackburn; Allyson R Zazulia; Tom Videen; Michael Diringer
Journal:  Stroke       Date:  2012-04-05       Impact factor: 7.914

7.  Morphological clustering and analysis of continuous intracranial pressure.

Authors:  Xiao Hu; Peng Xu; Fabien Scalzo; Paul Vespa; Marvin Bergsneider
Journal:  IEEE Trans Biomed Eng       Date:  2008-11-07       Impact factor: 4.538

8.  Implementation of cerebral autoregulation into computational fluid dynamics studies of cardiopulmonary bypass.

Authors:  Tim A S Kaufmann; Thomas Schmitz-Rode; Ulrich Steinseifer
Journal:  Artif Organs       Date:  2012-08       Impact factor: 3.094

Review 9.  Mechanical factors in arterial aging: a clinical perspective.

Authors:  Michael F O'Rourke; Junichiro Hashimoto
Journal:  J Am Coll Cardiol       Date:  2007-06-18       Impact factor: 24.094

10.  The relationship between the intracranial pressure-volume index and cerebral autoregulation.

Authors:  A Lavinio; F A Rasulo; E De Peri; M Czosnyka; N Latronico
Journal:  Intensive Care Med       Date:  2008-10-11       Impact factor: 17.440

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  2 in total

1.  A Coupled Lumped-Parameter and Distributed Network Model for Cerebral Pulse-Wave Hemodynamics.

Authors:  Jaiyoung Ryu; Xiao Hu; Shawn C Shadden
Journal:  J Biomech Eng       Date:  2015-10       Impact factor: 2.097

2.  A Novel Noninvasive Technique for Intracranial Pressure Waveform Monitoring in Critical Care.

Authors:  Sérgio Brasil; Davi Jorge Fontoura Solla; Ricardo de Carvalho Nogueira; Manoel Jacobsen Teixeira; Luiz Marcelo Sá Malbouisson; Wellingson da Silva Paiva
Journal:  J Pers Med       Date:  2021-12-05
  2 in total

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