Literature DB >> 3177984

A mathematical study of human intracranial hydrodynamics. Part 1--The cerebrospinal fluid pulse pressure.

M Ursino1.   

Abstract

An original mathematical model of human intracranial hydrodynamics is proposed. Equations able to mimic the behavior of the intracranial arterial vascular bed, intracranial venous vascular bed, cerebrospinal fluid absorption and production processes, and the constancy of overall intracranial volume are separately presented and discussed. The model parameters were given normal values computed using physiological considerations and recent anatomical data. In this paper the model is used to simulate the genesis and morphology of the intracranial pressure pulse wave. In particular, dependence of the intracranial pressure pulse amplitude on mean intracranial pressure, obtained from the model, shows excellent agreement with recent experimental findings. The model explains the intracranial pressure pulse wave as the result of the pulsating changes in cerebral blood volume (related to cerebrovascular compliance) which occur within a rigid space (i.e., the craniospinal compartment). At low and medium values of intracranial pressure, the intracranial pressure pulse amplitude mainly reflects the cerebral pressure-volume relationship. However, during severe intracranial hypertension, an abrupt increase in the cerebrovascular compliance becomes evident, which is reflected in an abrupt increase in the intracranial pressure pulse wave.

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Year:  1988        PMID: 3177984     DOI: 10.1007/bf02364625

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


  32 in total

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Authors:  A Marmarou; K Shulman; J LaMorgese
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Journal:  J Neurosurg       Date:  1976-07       Impact factor: 5.115

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Authors:  K Yada; Y Nakagawa; M Tsuru
Journal:  J Neurosurg       Date:  1973-12       Impact factor: 5.115

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Journal:  J Neurosurg       Date:  1977-05       Impact factor: 5.115

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Authors:  H A Guess; J D Charlton; R N Johnson; J D Mann
Journal:  Comput Biomed Res       Date:  1985-04

8.  Identification of canine coronary resistance and intramyocardial compliance on the basis of the waterfall model.

Authors:  R Burattini; P Sipkema; G A van Huis; N Westerhof
Journal:  Ann Biomed Eng       Date:  1985       Impact factor: 3.934

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Authors:  K Hayashi; H Handa; S Nagasawa; A Okumura; K Moritake
Journal:  J Biomech       Date:  1980       Impact factor: 2.712

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Journal:  Ann Neurol       Date:  1980-06       Impact factor: 10.422

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  36 in total

1.  Cardiovascular response to dynamic aerobic exercise: a mathematical model.

Authors:  E Magosso; M Ursino
Journal:  Med Biol Eng Comput       Date:  2002-11       Impact factor: 2.602

2.  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

3.  A mechatronic valve in the management of hydrocephalus: methods and performance.

Authors:  Lina Momani; Waleed Al-Nuaimy; Mohammed Al-Jumaily; Conor Mallucci
Journal:  Med Biol Eng Comput       Date:  2010-12-21       Impact factor: 2.602

4.  A mathematical model of cerebral circulation and oxygen supply.

Authors:  Andreas Jung; Rupert Faltermeier; Ralf Rothoerl; Alexander Brawanski
Journal:  J Math Biol       Date:  2005-09-29       Impact factor: 2.259

5.  Model-based data integration in clinical environments.

Authors:  Thomas Heldt; George C Verghese
Journal:  Annu Int Conf IEEE Eng Med Biol Soc       Date:  2010

6.  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

7.  Dynamics of pulsatile flow in fractal models of vascular branching networks.

Authors:  Anh Bui; Ilija D Sutalo; Richard Manasseh; Kurt Liffman
Journal:  Med Biol Eng Comput       Date:  2009-05-26       Impact factor: 2.602

8.  Assessment of cerebrovascular resistance with model of cerebrovascular pressure transmission.

Authors:  Nithya Narayanan; Charles W Leffler; Marek Czosnyka; Michael L Daley
Journal:  Acta Neurochir Suppl       Date:  2008

Review 9.  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

10.  Autoregulation in a simulator-based educational model of intracranial physiology.

Authors:  W J Thoman; D Gravenstein; J van der Aa; S Lampotang
Journal:  J Clin Monit Comput       Date:  1999-12       Impact factor: 2.502

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