Literature DB >> 9612384

Interaction among autoregulation, CO2 reactivity, and intracranial pressure: a mathematical model.

M Ursino1, C A Lodi.   

Abstract

The relationships among cerebral blood flow, cerebral blood volume, intracranial pressure (ICP), and the action of cerebrovascular regulatory mechanisms (autoregulation and CO2 reactivity) were investigated by means of a mathematical model. The model incorporates the cerebrospinal fluid (CSF) circulation, the intracranial pressure-volume relationship, and cerebral hemodynamics. The latter is based on the following main assumptions: the middle cerebral arteries behave passively following transmural pressure changes; the pial arterial circulation includes two segments (large and small pial arteries) subject to different autoregulation mechanisms; and the venous cerebrovascular bed behaves as a Starling resistor. A new aspect of the model exists in the description of CO2 reactivity in the pial arterial circulation and in the analysis of its nonlinear interaction with autoregulation. Simulation results, obtained at constant ICP using various combinations of mean arterial pressure and CO2 pressure, substantially support data on cerebral blood flow and velocity reported in the physiological literature concerning both the separate effects of CO2 and autoregulation and their nonlinear interaction. Simulations performed in dynamic conditions with varying ICP underline the existence of a significant correlation between ICP dynamics and cerebral hemodynamics in response to CO2 changes. This correlation may significantly increase in pathological subjects with poor intracranial compliance and reduced CSF outflow. In perspective, the model can be used to study ICP and blood velocity time patterns in neurosurgical patients in order to gain a deeper insight into the pathophysiological mechanisms leading to intracranial hypertension and secondary brain damage.

Entities:  

Mesh:

Substances:

Year:  1998        PMID: 9612384     DOI: 10.1152/ajpheart.1998.274.5.H1715

Source DB:  PubMed          Journal:  Am J Physiol        ISSN: 0002-9513


  39 in total

1.  Cerebral autoregulation is compromised during simulated fluctuations in gravitational stress.

Authors:  Clive M Brown; Matthias Dütsch; Susanne Ohring; Bernhard Neundörfer; Max J Hilz
Journal:  Eur J Appl Physiol       Date:  2003-10-22       Impact factor: 3.078

2.  Analysis of the effects of gravity and wall thickness in a model of blood flow through axisymmetric vessels.

Authors:  S J Payne
Journal:  Med Biol Eng Comput       Date:  2004-11       Impact factor: 2.602

3.  Blood pressure and blood flow variation during postural change from sitting to standing: model development and validation.

Authors:  Mette S Olufsen; Johnny T Ottesen; Hien T Tran; Laura M Ellwein; Lewis A Lipsitz; Vera Novak
Journal:  J Appl Physiol (1985)       Date:  2005-04-28

4.  Prediction of the jugular venous waveform using a model of CSF dynamics.

Authors:  J Kim; N A Thacker; P A Bromiley; A Jackson
Journal:  AJNR Am J Neuroradiol       Date:  2007-05       Impact factor: 3.825

5.  Estimation of hidden state variables of the intracranial system using constrained nonlinear Kalman filters.

Authors:  Xiao Hu; Valeriy Nenov; Paul Vespa; Marvin Bergsneider
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2005

6.  Theoretical model of blood flow autoregulation: roles of myogenic, shear-dependent, and metabolic responses.

Authors:  Brian E Carlson; Julia C Arciero; Timothy W Secomb
Journal:  Am J Physiol Heart Circ Physiol       Date:  2008-08-22       Impact factor: 4.733

7.  Cerebral blood flow autoregulation during intracranial hypertension: a simple, purely hydraulic mechanism?

Authors:  C Anile; P De Bonis; A Di Chirico; A Ficola; A Mangiola; G Petrella
Journal:  Childs Nerv Syst       Date:  2009-01-17       Impact factor: 1.475

8.  Spaceflight-induced alterations in cerebral artery vasoconstrictor, mechanical, and structural properties: implications for elevated cerebral perfusion and intracranial pressure.

Authors:  Curtis R Taylor; Mina Hanna; Bradley J Behnke; John N Stabley; Danielle J McCullough; Robert T Davis; Payal Ghosh; Anthony Papadopoulos; Judy M Muller-Delp; Michael D Delp
Journal:  FASEB J       Date:  2013-03-01       Impact factor: 5.191

9.  A cerebrovascular response model for functional neuroimaging including dynamic cerebral autoregulation.

Authors:  Solomon Gilbert Diamond; Katherine L Perdue; David A Boas
Journal:  Math Biosci       Date:  2009-05-13       Impact factor: 2.144

10.  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

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.