Document Detail


Cerebrospinal fluid flow dynamics in the central nervous system.
MedLine Citation:
PMID:  20737291     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Cine-phase-contrast-MRI was used to measure the three-dimensional cerebrospinal fluid (CSF) flow field inside the central nervous system (CNS) of a healthy subject. Image reconstruction and grid generation tools were then used to develop a three-dimensional fluid-structure interaction model of the CSF flow inside the CNS. The CSF spaces were discretized using the finite-element method and the constitutive equations for fluid and solid motion solved in ADINA-FSI 8.6. Model predictions of CSF velocity magnitude and stroke volume were found to be in excellent agreement with the experimental data. CSF pressure gradients and amplitudes were computed in all regions of the CNS. The computed pressure gradients and amplitudes closely match values obtained clinically. The highest pressure amplitude of 77 Pa was predicted to occur in the lateral ventricles. The pressure gradient between the lateral ventricles and the lumbar region of the spinal canal did not exceed 132 Pa (~1 mmHg) at any time during the cardiac cycle. The pressure wave speed in the spinal canal was predicted and found to agree closely with values previously reported in the literature. Finally, the forward and backward motion of the CSF in the ventricles was visualized, revealing the complex mixing patterns in the CSF spaces. The mathematical model presented in this article is a prerequisite for developing a mechanistic understanding of the relationships among vasculature pulsations, CSF flow, and CSF pressure waves in the CNS.
Authors:
Brian Sweetman; Andreas A Linninger
Publication Detail:
Type:  Journal Article; Research Support, N.I.H., Extramural     Date:  2010-08-25
Journal Detail:
Title:  Annals of biomedical engineering     Volume:  39     ISSN:  1573-9686     ISO Abbreviation:  Ann Biomed Eng     Publication Date:  2011 Jan 
Date Detail:
Created Date:  2010-12-24     Completed Date:  2011-04-11     Revised Date:  2013-05-30    
Medline Journal Info:
Nlm Unique ID:  0361512     Medline TA:  Ann Biomed Eng     Country:  United States    
Other Details:
Languages:  eng     Pagination:  484-96     Citation Subset:  IM    
Affiliation:
Laboratory for Product and Process Design (LPPD), Department of Bioengineering, University of Illinois at Chicago, Science and Engineering Offices (SEO), Room 218 (M/C 063), 851 S Morgan St., Chicago, IL 60607-7052, USA.
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MeSH Terms
Descriptor/Qualifier:
Adult
Brain / physiology*
Cerebrospinal Fluid / physiology*
Computer Simulation
Humans
Intracranial Pressure / physiology*
Male
Models, Neurological*
Pulsatile Flow / physiology*
Rheology / methods*
Spinal Cord / physiology*
Grant Support
ID/Acronym/Agency:
5R21EB004956/EB/NIBIB NIH HHS

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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