Literature DB >> 19388285

Assessment of cerebrovascular resistance with model of cerebrovascular pressure transmission.

Nithya Narayanan1, Charles W Leffler, Marek Czosnyka, Michael L Daley.   

Abstract

BACKGROUND: A two step modeling method of cerebrovascular pressure transmission, the dynamic relationship between arterial blood pressure (ABP) and intracranial pressure (ICP) has been developed as a means to continuously assess cerebrovascular regulation and resistance. Initially, system identification modeling was used to construct a numerical model of cerebrovascular pressure transmission. Next, the modal frequencies of the numerical model and the actual ABP recording were used to manipulate the parameters of a physiologically-based biomechanical model such that: (1) the actual and simulated ICP; and (2) the numerical and biomechanical model modal frequencies match.
MATERIALS AND METHODS: This study was designed to compare changes of cerebrovascular resistance of the biomechanical model with the expected changes of cerebrovascular resistance associated with the occurrence of either a plateau wave or refractory intracranial hypertension. Pressure recordings from five patients with plateau waves and five patients with intracranial hypertension were used.
FINDINGS: Vascular resistance decreased significantly during the plateau wave and was inversely related to CPP, indicating active vasoreactivity. In contrast, vascular resistance increased significantly during intractable intracranial hypertension and was directly related to CPP, indicating impaired cerebrovascular regulation.
CONCLUSIONS: Such results support the use of the modeling method as a means to continuously assess changes of cerebrovascular regulation and resistance.

Entities:  

Mesh:

Year:  2008        PMID: 19388285      PMCID: PMC2737502          DOI: 10.1007/978-3-211-85578-2_8

Source DB:  PubMed          Journal:  Acta Neurochir Suppl        ISSN: 0065-1419


  8 in total

1.  Continuous recording and control of ventricular fluid pressure in neurosurgical practice.

Authors:  N LUNDBERG
Journal:  Acta Psychiatr Scand Suppl       Date:  1960

2.  Assessment of cerebrovascular autoregulation: changes of highest modal frequency of cerebrovascular pressure transmission with cerebral perfusion pressure.

Authors:  Michael L Daley; Massroor Pourcyrous; Shelly D Timmons; Charles W Leffler
Journal:  Stroke       Date:  2004-06-17       Impact factor: 7.914

3.  Intracranial pressure monitoring: modeling cerebrovascular pressure transmission.

Authors:  M L Daley; C W Leffler; M Czosnyka; J D Pickard
Journal:  Acta Neurochir Suppl       Date:  2006

4.  Mode changes of cerebrovascular pressure transmission induced by cerebral vasodilation.

Authors:  Michael L Daley; Massroor Pourcyrous; Shelly D Timmons; Charles W Leffler
Journal:  J Neurotrauma       Date:  2007-03       Impact factor: 5.269

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

Authors:  M Ursino
Journal:  Ann Biomed Eng       Date:  1988       Impact factor: 3.934

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

Authors:  M Ursino; M Iezzi; N Stocchetti
Journal:  IEEE Trans Biomed Eng       Date:  1995-06       Impact factor: 4.538

Review 7.  Contribution of mathematical modelling to the interpretation of bedside tests of cerebrovascular autoregulation.

Authors:  M Czosnyka; S Piechnik; H K Richards; P Kirkpatrick; P Smielewski; J D Pickard
Journal:  J Neurol Neurosurg Psychiatry       Date:  1997-12       Impact factor: 10.154

8.  Hemodynamic characterization of intracranial pressure plateau waves in head-injury patients.

Authors:  M Czosnyka; P Smielewski; S Piechnik; E A Schmidt; P G Al-Rawi; P J Kirkpatrick; J D Pickard
Journal:  J Neurosurg       Date:  1999-07       Impact factor: 5.115

  8 in total
  1 in total

1.  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

  1 in total

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