Literature DB >> 19440003

The physics of hydrocephalus.

Richard D Penn1, Andreas Linninger.   

Abstract

This article reviews our previous work on the dynamics of the intracranial cavity and presents new clinically relevant results about hydrocephalus that can be gained from this approach. Simulations based on fluid dynamics and poroelasticity theory are used to predict CSF flow, pressures and brain tissue movement in normal subjects. Communicating hydrocephalus is created in the model by decreasing CSF absorption. The predictions are shown to reflect dynamics demonstrated by structural MRI and cine-MRI studies of normal subjects and hydrocephalus patients. The simulations are then used to explain unilateral hydrocephalus and how hydrocephalus could occur without CSF pulsations. The simulations also predict the known pressure/volume relationships seen on bolus infusions of CSF, and the small transmural pressure gradients observed in animal experiments and in patients with hydrocephalus. The complications and poor performance of shunts based on pressure-sensitive valves are explained and a system of feedback control is suggested as a solution. Copyright 2009 S. Karger AG, Basel.

Entities:  

Mesh:

Year:  2009        PMID: 19440003     DOI: 10.1159/000218198

Source DB:  PubMed          Journal:  Pediatr Neurosurg        ISSN: 1016-2291            Impact factor:   1.162


  9 in total

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Authors:  I Liepelt-Scarfone; M Jamour; W Maetzler
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2.  Alteration of brain viscoelasticity after shunt treatment in normal pressure hydrocephalus.

Authors:  Florian Baptist Freimann; Kaspar-Josche Streitberger; Dieter Klatt; Kui Lin; Joyce McLaughlin; Jürgen Braun; Christian Sprung; Ingolf Sack
Journal:  Neuroradiology       Date:  2011-05-03       Impact factor: 2.804

3.  A dynamic mechanical analysis technique for porous media.

Authors:  Adam Jeffry Pattison; Matthew McGarry; John B Weaver; Keith D Paulsen
Journal:  IEEE Trans Biomed Eng       Date:  2014-09-15       Impact factor: 4.538

4.  Revisiting hydrocephalus as a model to study brain resilience.

Authors:  Matheus Fernandes de Oliveira; Fernando Campos Gomes Pinto; Koshiro Nishikuni; Ricardo Vieira Botelho; Alessandra Moura Lima; José Marcus Rotta
Journal:  Front Hum Neurosci       Date:  2012-01-06       Impact factor: 3.169

5.  Exploring the efficacy of endoscopic ventriculostomy for hydrocephalus treatment via a multicompartmental poroelastic model of CSF transport: a computational perspective.

Authors:  John C Vardakis; Brett J Tully; Yiannis Ventikos
Journal:  PLoS One       Date:  2013-12-31       Impact factor: 3.240

6.  Starling forces drive intracranial water exchange during normal and pathological states.

Authors:  Andreas A Linninger; Colin Xu; Kevin Tangen; Grant Hartung
Journal:  Croat Med J       Date:  2017-12-31       Impact factor: 1.351

7.  A network model of glymphatic flow under different experimentally-motivated parametric scenarios.

Authors:  Jeffrey Tithof; Kimberly A S Boster; Peter A R Bork; Maiken Nedergaard; John H Thomas; Douglas H Kelley
Journal:  iScience       Date:  2022-04-14

8.  Is bulk flow plausible in perivascular, paravascular and paravenous channels?

Authors:  Mohammad M Faghih; M Keith Sharp
Journal:  Fluids Barriers CNS       Date:  2018-06-15

9.  Dispersion in porous media in oscillatory flow between flat plates: applications to intrathecal, periarterial and paraarterial solute transport in the central nervous system.

Authors:  M Keith Sharp; Roxana O Carare; Bryn A Martin
Journal:  Fluids Barriers CNS       Date:  2019-05-06
  9 in total

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