Evidence map›Paper›PMID 42234211›Full record

ArticleBiomechanics and modeling in mechanobiology2026

Modification of a poroelastic model for zero porosity: finite element implementation and investigation of fluid mechanics in the perivascular space.

Mohammad Jannesari, Beatrice Ghitti, Bruce J Gluckman, Francesco Costanzo

Abstract read
In one paragraph

Article in Biomechanics and modeling in mechanobiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Mohammad JannesariCenter for Neural Engineering, The Pennsylvania State University, University Park, PA, 16802, USA.ORCID http://orcid.org/0000-0003-3013-394X
Beatrice GhittiEngineering Science and Mechanics Department, The Pennsylvania State University, 212 EES Bldg., University Park, PA, 16802, USA.ORCID http://orcid.org/0000-0002-8769-2454
Bruce J GluckmanCenter for Neural Engineering, The Pennsylvania State University, University Park, PA, 16802, USA.ORCID http://orcid.org/0000-0001-7695-2225
Francesco CostanzoCenter for Neural Engineering, The Pennsylvania State University, University Park, PA, 16802, USA. fxc8@psu.edu.ORCID http://orcid.org/0000-0003-3169-9638

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In conventional formulations of poroelasticity, when the porosity approaches zero or vanishes in some parts of the poroelastic domain, if only temporarily, the governing equations degenerate to those for the solid phase thereby inhibiting a suitable determination of the fluid velocity field. To address this challenge, we reformulated a poroelastic model based on mixture theory to accommodate scenarios with zero porosity. We verified our model using the method of manufactured solutions and demonstrated its ability to handle extreme conditions in a sample test problem. As an application of our framework, we investigated peristaltic flow in the perivascular space of a penetrating arteriole in brain. Our analysis revealed that some literature-suggested parameters can drive the model to predict extreme non-physiological conditions. We further demonstrated that these extreme conditions can be somewhat mitigated by accounting for the deformation of the surrounding brain tissue.

Indexed as

ElasticityFinite Element AnalysisGlymphatic SystemModels, BiologicalAnimalsBiomechanical PhenomenaBrainComputer SimulationHumansPorosityCerebrospinal fluid mechanicsFinite element methodPerivascular spacePoroelasticityZero porosity

Identifiers

PMID42234211
PMCPMC13233892

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.