Evidence map›Paper›PMID 19219605›Full record

ArticleJournal of mathematical biology2009

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

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

Abstract read
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In one paragraph

Article in Journal of mathematical biology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

43 citing papers in PubMed.

  1. Article
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  5. Review
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  7. Article
  8. Cerebrospinal Fluid Flow.Annual review of fluid mechanics · 2023
    Article
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  11. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Andreas A LinningerLaboratory for Product and Process Design (LPPD), Department of Bioengineering and Chemical Engineering, University of Illinois at Chicago, Chicago, USA. linninge@uic.edu
Michalis Xenos
Brian Sweetman
Sukruti Ponkshe
Xiaodong Guo
Richard Penn

Funding

Modeling, Monitoring and Control of HydrocephalusR21EB004956 · NIBIB · UNIVERSITY OF ILLINOIS AT CHICAGO · PI LINNINGER, ANDREAS A · 2007 to 2008
$426k
NIBIB NIH HHS 5R21EB004956
6 · The paper itself

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.

Indexed as

Models, BiologicalAlgorithmsAnimalsBiomechanical PhenomenaBlood PressureBrainCerebrospinal FluidCerebrovascular CirculationComputer SimulationHemodynamicsHumansHydrocephalusIntracranial PressureMagnetic Resonance Imaging, CineModels, CardiovascularRheology

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.