Evidence map›Paper›PMID 37269602›Full record

ArticleJournal of the mechanical behavior of biomedical materials2023

Mechanical loading of the ventricular wall as a spatial indicator for periventricular white matter degeneration.

Valery L Visser, Andreia Caçoilo, Henry Rusinek, Johannes Weickenmeier

Open access · greenAbstract read
In one paragraph

Article in Journal of the mechanical behavior of biomedical materials, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.4field-weighted citation impact, top 19% 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

8 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
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  6. Review
  7. Segmenting mechanically heterogeneous domains via unsupervised learning.Biomechanics and modeling in mechanobiology · 2024
    Article
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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

4 authors at 2 institutions in 2 countries.

Valery L VisserDepartment of Mechanical Engineering, Stevens Institute of Technology, Hoboken, NJ 07030, United States of America; Department of Biomedical Engineering, Eindhoven University of Technology, 5600 MB Eindhoven, The Netherlands.
Andreia CaçoiloDepartment of Mechanical Engineering, Stevens Institute of Technology, Hoboken, NJ 07030, United States of America.
Henry RusinekDepartment of Radiology, New York University Grossman School of Medicine, New York, NY 10016, United States of America.
Johannes WeickenmeierDepartment of Mechanical Engineering, Stevens Institute of Technology, Hoboken, NJ 07030, United States of America. Electronic address: johannes.weickenmeier@stevens.edu.
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

Progressive white matter degeneration in periventricular and deep white matter regions appears as white matter hyperintensities (WMH) on MRI scans. To date, periventricular WMHs are often associated with vascular dysfunction. Here, we demonstrate that ventricular inflation resulting from cerebral atrophy and hemodynamic pulsation with every heartbeat leads to a mechanical loading state of periventricular tissues that significantly affects the ventricular wall. Specifically, we present a physics-based modeling approach that provides a rationale for ependymal cell involvement in periventricular WMH formation. Building on eight previously created 2D finite element brain models, we introduce novel mechanomarkers for ependymal cell loading and geometric measures that characterize lateral ventricular shape. We show that our novel mechanomarkers, such as maximum ependymal cell deformations and maximum curvature of the ventricular wall, spatially overlap with periventricular WMH locations and are sensitive predictors for WMH formation. We also explore the role of the septum pellucidum in mitigating mechanical loading of the ventricular wall by constraining the radial expansion of the lateral ventricles during loading. Our models consistently show that ependymal cells are stretched thin only in the horns of the ventricles irrespective of ventricular shape. We therefore pose that periventricular WMH etiology is strongly linked to the deterioration of the over-stretched ventricular wall resulting in CSF leakage into periventricular white matter. Subsequent secondary damage mechanisms, including vascular degeneration, exacerbate lesion formation and lead to progressive growth into deep white matter regions.

Indexed as

Neurodegenerative DiseasesWhite MatterAnimalsBrainMagnetic Resonance ImagingEpendymal cellsFinite element simulationsLateral ventriclesTissue damageWhite matter hyperintensities

Identifiers

PMID37269602
PMCPMC10266836
OpenAlexW4377969142

What OpenQuestion holds

Textmetadata
LicenceTDM
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.