Literature DB >> 7790009

Intracranial pressure dynamics in patients with acute brain damage: a critical analysis with the aid of a mathematical model.

M Ursino1, M Iezzi, N Stocchetti.   

Abstract

The time pattern of intracranial pressure (ICP) in response to typical clinical tests (i.e., bolus injection and bolus withdrawal of 1 to 4 mL of saline in the craniospinal space) was studied in 18 patients with acute brain damage by means of a mathematical model. The model includes the main biomechanical factors assumed to affect intracranial pressure, particularly cerebrospinal fluid (CSF) dynamics, intracranial compliance, and cerebral hemodynamics. Best fitting between model simulation curves and clinical tracings was achieved using the Powell minimization algorithm and a least-square criterion function. The simulation results demonstrate that, in most patients, the ICP time pattern cannot be explained merely on the basis of CSF dynamics but also requires consideration of the contribution of cerebral hemodynamics and blood volume alterations. In particular, only in a few patients (about 40% of total) the ICP monotonically returns toward baseline following the clinical maneuver. In most of the examined cases (about 60%), ICP exhibits an anomalous response to the same maneuver, characterized by a delayed increase after bolus injection and a delayed decrease after withdrawal. The model is able to explain these responses, imputing them to active intracranial blood volume changes induced by mechanisms controlling cerebral blood flow. Finally, the role of the main intracranial biomechanical parameters in the genesis of the ICP time pattern is discussed and a comparison with previous theoretical studies performed.

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Mesh:

Year:  1995        PMID: 7790009     DOI: 10.1109/10.387192

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  14 in total

1.  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

2.  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

3.  Autoregulation in the ocular and cerebral arteries during the cold pressor test and handgrip exercise.

Authors:  Tsukasa Ikemura; Nami Someya; Naoyuki Hayashi
Journal:  Eur J Appl Physiol       Date:  2011-06-04       Impact factor: 3.078

4.  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

5.  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

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

Authors:  Mark Connolly; Xing He; Nestor Gonzalez; Paul Vespa; Joe DiStefano; Xiao Hu
Journal:  Med Eng Phys       Date:  2014-01-03       Impact factor: 2.242

7.  Analysis of dynamic cerebral autoregulation using an ARX model based on arterial blood pressure and middle cerebral artery velocity simulation.

Authors:  Y Liu; R Allen
Journal:  Med Biol Eng Comput       Date:  2002-09       Impact factor: 2.602

8.  Model-derived assessment of cerebrovascular resistance and cerebral blood flow following traumatic brain injury.

Authors:  Michael L Daley; Nithya Narayanan; Charles W Leffler
Journal:  Exp Biol Med (Maywood)       Date:  2010-04

9.  Assessment of cerebrovascular resistance with a model of cerebrovascular pressure transmission.

Authors:  Nithya Narayanan; Charles W Leffler; Michael L Daley
Journal:  Med Eng Phys       Date:  2008-08-08       Impact factor: 2.242

10.  Influence of hypercapnic vasodilation on cerebrovascular autoregulation and pial arteriolar bed resistance in piglets.

Authors:  Nithya Narayanan; Charles W Leffler; Michael L Daley
Journal:  J Appl Physiol (1985)       Date:  2008-04-24
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