Literature DB >> 19219605

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

Andreas A Linninger1, Michalis Xenos, Brian Sweetman, Sukruti Ponkshe, Xiaodong Guo, Richard Penn.   

Abstract

Using first principles of fluid and solid mechanics a comprehensive model of human intracranial dynamics is proposed. Blood, cerebrospinal fluid (CSF) and brain parenchyma as well as the spinal canal are included. The compartmental model predicts intracranial pressure gradients, blood and CSF flows and displacements in normal and pathological conditions like communicating hydrocephalus. The system of differential equations of first principles conservation balances is discretized and solved numerically. Fluid-solid interactions of the brain parenchyma with cerebral blood and CSF are calculated. The model provides the transitions from normal dynamics to the diseased state during the onset of communicating hydrocephalus. Predicted results were compared with physiological data from Cine phase-contrast magnetic resonance imaging to verify the dynamic model. Bolus injections into the CSF are simulated in the model and found to agree with clinical measurements.

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Year:  2009        PMID: 19219605     DOI: 10.1007/s00285-009-0250-2

Source DB:  PubMed          Journal:  J Math Biol        ISSN: 0303-6812            Impact factor:   2.259


  35 in total

1.  Hydrodynamic modeling of cerebrospinal fluid motion within the spinal cavity.

Authors:  F Loth; M A Yardimci; N Alperin
Journal:  J Biomech Eng       Date:  2001-02       Impact factor: 2.097

2.  Mathematical model for the viscoelastic properties of dura mater.

Authors:  Ruth K Wilcox; Lynne E Bilston; David C Barton; Richard M Hall
Journal:  J Orthop Sci       Date:  2003       Impact factor: 1.601

3.  Encoding strategies for three-direction phase-contrast MR imaging of flow.

Authors:  N J Pelc; M A Bernstein; A Shimakawa; G H Glover
Journal:  J Magn Reson Imaging       Date:  1991 Jul-Aug       Impact factor: 4.813

4.  Time-resolved magnetic resonance angiography.

Authors:  C L Dumoulin; S P Souza; M F Walker; E Yoshitome
Journal:  Magn Reson Med       Date:  1988-03       Impact factor: 4.668

5.  Cerebrospinal fluid dynamics and relation with blood flow: a magnetic resonance study with semiautomated cerebrospinal fluid segmentation.

Authors:  O Balédent; M C Henry-Feugeas; I Idy-Peretti
Journal:  Invest Radiol       Date:  2001-07       Impact factor: 6.016

6.  Pulsatile cerebrospinal fluid dynamics in the human brain.

Authors:  Andreas A Linninger; Cristian Tsakiris; David C Zhu; Michalis Xenos; Peter Roycewicz; Zachary Danziger; Richard Penn
Journal:  IEEE Trans Biomed Eng       Date:  2005-04       Impact factor: 4.538

Review 7.  Noninvasive intracranial compliance and pressure based on dynamic magnetic resonance imaging of blood flow and cerebrospinal fluid flow: review of principles, implementation, and other noninvasive approaches.

Authors:  Patricia B Raksin; Noam Alperin; Anusha Sivaramakrishnan; Sushma Surapaneni; Terry Lichtor
Journal:  Neurosurg Focus       Date:  2003-04-15       Impact factor: 4.047

8.  Pressure gradients in the brain in an experimental model of hydrocephalus.

Authors:  Richard D Penn; Max C Lee; Andreas A Linninger; Keith Miesel; Steven Ning Lu; Lee Stylos
Journal:  J Neurosurg       Date:  2005-06       Impact factor: 5.115

9.  Noninvasive continuous monitoring of the effects of head position on brain hemodynamics in ventilated infants.

Authors:  Adelina Pellicer; Francisco Gayá; Rosario Madero; José Quero; Fernando Cabañas
Journal:  Pediatrics       Date:  2002-03       Impact factor: 7.124

10.  A global mathematical model of the cerebral circulation in man.

Authors:  M Zagzoule; J P Marc-Vergnes
Journal:  J Biomech       Date:  1986       Impact factor: 2.712

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  28 in total

Review 1.  Physiology of the intrathecal bolus: the leptomeningeal route for macromolecule and particle delivery to CNS.

Authors:  Mikhail I Papisov; Vasily V Belov; Kimberley S Gannon
Journal:  Mol Pharm       Date:  2013-02-12       Impact factor: 4.939

2.  CSF dynamic analysis of a predictive pulsatility-based infusion test for normal pressure hydrocephalus.

Authors:  Sara Qvarlander; Jan Malm; Anders Eklund
Journal:  Med Biol Eng Comput       Date:  2013-10-23       Impact factor: 2.602

3.  Three-dimensional computational prediction of cerebrospinal fluid flow in the human brain.

Authors:  Brian Sweetman; Michalis Xenos; Laura Zitella; Andreas A Linninger
Journal:  Comput Biol Med       Date:  2011-01-07       Impact factor: 4.589

Review 4.  Mechanisms of fluid movement into, through and out of the brain: evaluation of the evidence.

Authors:  Stephen B Hladky; Margery A Barrand
Journal:  Fluids Barriers CNS       Date:  2014-12-02

5.  Data-Augmented Modeling of Intracranial Pressure.

Authors:  Jian-Xun Wang; Xiao Hu; Shawn C Shadden
Journal:  Ann Biomed Eng       Date:  2019-01-03       Impact factor: 3.934

Review 6.  Methods to measure, model and manipulate fluid flow in brain.

Authors:  Krishnashis Chatterjee; Cora M Carman-Esparza; Jennifer M Munson
Journal:  J Neurosci Methods       Date:  2019-12-12       Impact factor: 2.390

Review 7.  Mechanics of the brain: perspectives, challenges, and opportunities.

Authors:  Alain Goriely; Marc G D Geers; Gerhard A Holzapfel; Jayaratnam Jayamohan; Antoine Jérusalem; Sivabal Sivaloganathan; Waney Squier; Johannes A W van Dommelen; Sarah Waters; Ellen Kuhl
Journal:  Biomech Model Mechanobiol       Date:  2015-02-26

8.  Comparison of 4D phase-contrast MRI flow measurements to computational fluid dynamics simulations of cerebrospinal fluid motion in the cervical spine.

Authors:  Theresia I Yiallourou; Jan Robert Kröger; Nikolaos Stergiopulos; David Maintz; Bryn A Martin; Alexander C Bunck
Journal:  PLoS One       Date:  2012-12-21       Impact factor: 3.240

9.  Mathematical Models of Blast-Induced TBI: Current Status, Challenges, and Prospects.

Authors:  Raj K Gupta; Andrzej Przekwas
Journal:  Front Neurol       Date:  2013-05-30       Impact factor: 4.003

10.  Highly efficient magnetic targeting of mesenchymal stem cells in spinal cord injury.

Authors:  Václav Vaněček; Vitalii Zablotskii; Serhiy Forostyak; Jiří Růžička; Vít Herynek; Michal Babič; Pavla Jendelová; Sárka Kubinová; Alexandr Dejneka; Eva Syková
Journal:  Int J Nanomedicine       Date:  2012-07-16
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