ArticleFrontiers in computational neuroscience2019
On the Validation of a Multiple-Network Poroelastic Model Using Arterial Spin Labeling MRI Data.
Article in Frontiers in computational neuroscience, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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.
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.
Who cites it
11 citing papers in PubMed, 29 citations in OpenAlex.
- Mechanistic multiphysics modeling reveals how blood pulsation drives CSF flow, pressure, and brain deformation under physiological and injection conditions.Fluids and barriers of the CNS · 2026Article
- Geometry Reduced Order Modeling (GROM) with application to modeling of glymphatic function.Brain research bulletin · 2025Article
- Modeling CSF circulation and the glymphatic system during infusion using subject specific intracranial pressures and brain geometries.Fluids and barriers of the CNS · 2024Article
- A Spatial Interpolation Approach to Assign Magnetic Resonance Imaging-Derived Material Properties for Finite Element Models of Adeno-Associated Virus Infusion Into a Recurrent Brain Tumor.Journal of biomechanical engineering · 2024Article
- Transversely-isotropic brain in vivo MR elastography with anisotropic damping.Journal of the mechanical behavior of biomedical materials · 2023Article
- Article
- Human intracranial pulsatility during the cardiac cycle: a computational modelling framework.Fluids and barriers of the CNS · 2022Article
- Influence of interaction of cerebral fluids on ventricular deformation: A mathematical approach.PloS one · 2022Article
- On the Sensitivity Analysis of Porous Finite Element Models for Cerebral Perfusion Estimation.Annals of biomedical engineering · 2021Article
- Exploring neurodegenerative disorders using a novel integrated model of cerebral transport: Initial results.Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine · 2020Article
- Study protocol of validating a numerical model to assess the blood flow in the circle of Willis.BMJ open · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The Multiple-Network Poroelastic Theory (MPET) is a numerical model to characterize the transport of multiple fluid networks in the brain, which overcomes the problem of conducting separate analyses on individual fluid compartments and losing the interactions between tissue and fluids, in addition to the interaction between the different fluids themselves. In this paper, the blood perfusion results from MPET modeling are partially validated using cerebral blood flow (CBF) data obtained from arterial spin labeling (ASL) magnetic resonance imaging (MRI), which uses arterial blood water as an endogenous tracer to measure CBF. Two subjects-one healthy control and one patient with unilateral middle cerebral artery (MCA) stenosis are included in the validation test. The comparison shows several similarities between CBF data from ASL and blood perfusion results from MPET modeling, such as higher blood perfusion in the gray matter than in the white matter, higher perfusion in the periventricular region for both the healthy control and the patient, and asymmetric distribution of blood perfusion for the patient. Although the partial validation is mainly conducted in a qualitative way, it is one important step toward the full validation of the MPET model, which has the potential to be used as a testing bed for hypotheses and new theories in neuroscience research.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.