Document Detail

A modeling study of idiopathic intracranial hypertension: etiology and diagnosis.
MedLine Citation:
PMID:  17553215     Owner:  NLM     Status:  MEDLINE    
OBJECTIVE: To investigate the relationship between idiopathic intracranial hypertension (IIH) and transverse sinus stenosis through experiments performed on a validated mathematical model. METHODS: A mathematical model of intracranial pressure (ICP) dynamics has been extended to accommodate venous sinus compression through the introduction of a Starling-like resistor between the sagittal and transverse sinuses. RESULTS: In the absence of this type of resistor, the sinuses are rigid, and the model has only a unique, stable steady state with normal pressures. With resistance a function of the external pressure on the sinus, a second stable steady state may exist. This state is characterized by elevated ICP concurrent with a compressed transverse sinus. Simulations predict that a temporary perturbation that causes a transient elevation of ICP can induce a permanent transition from the normal to the higher steady state. Comparisons to clinical data from IIH patients provide supporting evidence for the validity of the model's predictions. Simulations suggest a possible clinical diagnostic technique to determine if an individual has a compressible transverse sinus and is at risk for developing IIH. CONCLUSIONS: Results of the model experiments suggest that the primary cause of IIH may be a compressible, as opposed to rigid, transverse sinus, and that the observed stenosis is a necessary characteristic of the elevated pressure state.
Scott A Stevens; Nimish J Thakore; William D Lakin; Paul L Penar; Bruce I Tranmer
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Publication Detail:
Type:  Journal Article; Research Support, U.S. Gov't, Non-P.H.S.    
Journal Detail:
Title:  Neurological research     Volume:  29     ISSN:  0161-6412     ISO Abbreviation:  Neurol. Res.     Publication Date:  2007 Dec 
Date Detail:
Created Date:  2007-12-14     Completed Date:  2008-03-14     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  7905298     Medline TA:  Neurol Res     Country:  England    
Other Details:
Languages:  eng     Pagination:  777-86     Citation Subset:  IM    
Division of Information Technology and Sciences, Champlain College, Burlington, VT 05402-0670, USA.
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MeSH Terms
Models, Biological*
Pseudotumor Cerebri / cerebrospinal fluid,  diagnosis*,  etiology*

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