Literature DB >> 2919810

Resistances and compliances of a compartmental model of the cerebrovascular system.

S Sorek1, J Bear, Z Karni.   

Abstract

A lumped parameter compartmental model for the nonsteady flow of the cerebrovascular fluid is constructed. The model assumes constant resistances that relate fluid flux to pressure gradients, and compliances between compartments that relate fluid accumulation to rate of pressure changes. Resistances are evaluated by using mean values of artery and cerebrospinal fluid (CSF) fluxes and mean compartmental pressures. Compliances are then evaluated from clinical data of simultaneous pulse wave recordings in the different compartments. Estimate of the average CSF compartmental deformation, based on the compliance between the CSF and brain tissue compartments, proves to be of the order of magnitude of actual experimental measurements.

Mesh:

Year:  1989        PMID: 2919810     DOI: 10.1007/BF02364270

Source DB:  PubMed          Journal:  Ann Biomed Eng        ISSN: 0090-6964            Impact factor:   3.934


  7 in total

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Journal:  Ann Biomed Eng       Date:  1978-12       Impact factor: 3.934

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Authors:  S Sorek; J Bear; Z Karni
Journal:  J Biomech       Date:  1988       Impact factor: 2.712

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Authors:  S Sorek; M Feinsod; J Bear
Journal:  Med Biol Eng Comput       Date:  1988-05       Impact factor: 2.602

7.  Quasi-steady-state compartmental model of intracranial fluid dynamics.

Authors:  Z Karni; J Bear; S Sorek; Z Pinczewski
Journal:  Med Biol Eng Comput       Date:  1987-03       Impact factor: 2.602

  7 in total
  7 in total

1.  A mathematical model of the relationship between cerebral blood volume and intracranial pressure changes: the generation of plateau waves.

Authors:  M Ursino; P Di Giammarco
Journal:  Ann Biomed Eng       Date:  1991       Impact factor: 3.934

2.  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

3.  A mathematical model of blood, cerebrospinal fluid and brain dynamics.

Authors:  Andreas A Linninger; Michalis Xenos; Brian Sweetman; Sukruti Ponkshe; Xiaodong Guo; Richard Penn
Journal:  J Math Biol       Date:  2009-02-15       Impact factor: 2.259

Review 4.  Model-based indices describing cerebrovascular dynamics.

Authors:  Georgios V Varsos; Magdalena Kasprowicz; Peter Smielewski; Marek Czosnyka
Journal:  Neurocrit Care       Date:  2014-02       Impact factor: 3.210

5.  Dynamics of hydrocephalus: a physical approach.

Authors:  Robert Bouzerar; Issyan Tekaya; Roger Bouzerar; Olivier Balédent
Journal:  J Biol Phys       Date:  2011-09-29       Impact factor: 1.365

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Authors:  A Bekker; S Wolk; H Turndorf; D Kristol; A Ritter
Journal:  J Clin Monit       Date:  1996-11

7.  Mathematical study of the role of non-linear venous compliance in the cranial volume-pressure test.

Authors:  S Cirovic; C Walsh; W D Fraser
Journal:  Med Biol Eng Comput       Date:  2003-09       Impact factor: 3.079

  7 in total

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