Evidence map›Paper›PMID 37485473›Full record

ArticleEngineering with computers2022

3D finite-element brain modeling of lateral ventricular wall loading to rationalize periventricular white matter hyperintensity locations.

Andreia Caçoilo, Henry Rusinek, Johannes Weickenmeier

Open access · hybridAbstract read
In one paragraph

Article in Engineering with computers, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.2field-weighted citation impact, top 23% of its field
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

6 citing papers in PubMed, 9 citations in OpenAlex.

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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

3 authors at 2 institutions in 1 country.

Andreia CaçoiloDepartment of Mechanical Engineering, Stevens Institute of Technology, Hoboken, NJ 07030, USA.
Henry RusinekDepartment of Radiology, New York University Grossman School of Medicine, New York, NY 10016, USA.
Johannes WeickenmeierDepartment of Mechanical Engineering, Stevens Institute of Technology, Hoboken, NJ 07030, USA.ORCID 0000-0003-1889-5976
Stevens Institute of Technology · USNew York University · US

Funding

Research Education ComponentP30AG066512 · NIA · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Mary Sherman Mittelman · 2020 to 2026
$28.4M
Advanced Software for MRI, PET, SPECT and CT Image AnalysisU24EB028980 · NIBIB · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI RUSINEK, HENRY · 2019 to 2021
$1.2M
Personalized predictions of biomarker progression in Alzheimer's diseaseR21AG067442 · NIA · THE TRUSTEES OF THE STEVENS INSTITUTE OF TECHNOLOGY · PI WEICKENMEIER, JOHANNES · 2020 to 2020
$424k
NIA NIH HHS P30 AG066512NIA NIH HHS R21 AG067442NIBIB NIH HHS U24 EB028980
6 · The paper itself

Abstract

Aging-related periventricular white matter hyperintensities (pvWMHs) are a common observation in medical images of the aging brain. The underlying tissue damage is part of the complex pathophysiology associated with age-related microstructural changes and cognitive decline. PvWMH formation is linked to blood-brain barrier dysfunction from cerebral small vessel disease as well as the accumulation of cerebrospinal fluid in periventricular tissue due to progressive denudation of the ventricular wall. In need of a unifying theory for pvWMH etiology, image-based finite-element modeling is used to demonstrate that ventricular expansion from age-related cerebral atrophy and hemodynamic loading leads to maximum mechanical loading of the ventricular wall in the same locations that show pvWMHs. Ventricular inflation, induced via pressurization of the ventricular wall, creates significant ventricular wall stretch and stress on the ependymal cells lining the wall, that are linked to cerebrospinal fluid leaking from the lateral ventricles into periventricular white matter tissue. Eight anatomically accurate 3D brain models of cognitively healthy subjects with a wide range of ventricular shapes are created. For all models, our simulations show that mechanomarkers of mechanical wall loading are consistently highest in pvWMHs locations (

Indexed as

Computational modelingEpendymal cell stretchPeriventricular white matter hyperintensitiesPersonalized finite-element simulationsVentricular wall loading

Identifiers

PMID37485473
PMCPMC10361695
OpenAlexW4285793429

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.