Literature DB >> 11045982

Cerebral hemodynamics during arterial and CO(2) pressure changes: in vivo prediction by a mathematical model.

M Ursino1, A Ter Minassian, C A Lodi, L Beydon.   

Abstract

The aim of this work was to analyze changes in cerebral hemodynamics and intracranial pressure (ICP) evoked by mean systemic arterial pressure (SAP) and arterial CO(2) pressure (Pa(CO(2))) challenges in patients with acute brain damage. The study was performed by means of a new simple mathematical model of intracranial hemodynamics, particularly aimed at routine clinical investigation. The model was validated by comparing its results with data from transcranial Doppler velocity in the middle cerebral artery (V(MCA)) and ICP measured in 44 tracings on 13 different patients during mean SAP and Pa(CO(2)) challenges. The validation consisted of individual identification of 6 parameters in all 44 tracings by means of a best fitting algorithm. The parameters chosen for the identification summarize the main aspects of intracranial dynamics, i.e., cerebrospinal fluid circulation, intracranial elastance, and cerebrovascular control. The results suggest that the model is able to reproduce the measured time patterns of V(MCA) and ICP in all 44 tracings by using values for the parameters that lie within the ranges reported in the pathophysiological literature. The meaning of parameter estimates is discussed, and comments on the main virtues and limitations of the present approach are offered.

Entities:  

Mesh:

Substances:

Year:  2000        PMID: 11045982     DOI: 10.1152/ajpheart.2000.279.5.H2439

Source DB:  PubMed          Journal:  Am J Physiol Heart Circ Physiol        ISSN: 0363-6135            Impact factor:   4.733


  18 in total

Review 1.  Physiome approach for the analysis of vascular flow reserve in the heart and brain.

Authors:  Kyung Eun Lee; Ah-Jin Ryu; Eun-Seok Shin; Eun Bo Shim
Journal:  Pflugers Arch       Date:  2017-03-28       Impact factor: 3.657

2.  Compartmental and Data-Based Modeling of Cerebral Hemodynamics: Nonlinear Analysis.

Authors:  Brandon Christian Henley; Dae C Shin; Rong Zhang; Vasilis Z Marmarelis
Journal:  IEEE Trans Biomed Eng       Date:  2016-07-09       Impact factor: 4.538

3.  Cerebral blood flow and autoregulation: current measurement techniques and prospects for noninvasive optical methods.

Authors:  Sergio Fantini; Angelo Sassaroli; Kristen T Tgavalekos; Joshua Kornbluth
Journal:  Neurophotonics       Date:  2016-06-21       Impact factor: 3.593

4.  Compartmental and Data-Based Modeling of Cerebral Hemodynamics: Linear Analysis.

Authors:  B C Henley; D C Shin; R Zhang; V Z Marmarelis
Journal:  IEEE Access       Date:  2015-10-19       Impact factor: 3.367

5.  Quantification of dynamic cerebral autoregulation and CO2 dynamic vasomotor reactivity impairment in essential hypertension.

Authors:  Vasilis Z Marmarelis; Dae C Shin; Mareike Oesterreich; Martin Mueller
Journal:  J Appl Physiol (1985)       Date:  2020-01-09

6.  A multiscale model for the simulation of cerebral and extracerebral blood flows and pressures in humans.

Authors:  Giacomo Gadda; Marcin Majka; Piotr Zieliński; Mauro Gambaccini; Angelo Taibi
Journal:  Eur J Appl Physiol       Date:  2018-08-31       Impact factor: 3.078

7.  ln silico simulation of the interaction among autoregulatory mechanisms regulating cerebral blood flow rate in the healthy and systolic heart failure conditions during exercise.

Authors:  Surhan Bozkurt; Umut Engin Ayten
Journal:  Med Biol Eng Comput       Date:  2022-05-04       Impact factor: 2.602

8.  Effects of autoregulation and CO2 reactivity on cerebral oxygen transport.

Authors:  S J Payne; J Selb; D A Boas
Journal:  Ann Biomed Eng       Date:  2009-07-24       Impact factor: 3.934

9.  A time-invariant visco-elastic windkessel model relating blood flow and blood volume.

Authors:  Ying Zheng; John Mayhew
Journal:  Neuroimage       Date:  2009-04-14       Impact factor: 6.556

10.  Continuous estimates of dynamic cerebral autoregulation during transient hypocapnia and hypercapnia.

Authors:  N E Dineen; F G Brodie; T G Robinson; R B Panerai
Journal:  J Appl Physiol (1985)       Date:  2009-12-24
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.