Evidence map›Paper›PMID 37949949›Full record

ArticleScientific reports2023

Histology-informed multiscale modeling of human brain white matter.

Saeideh Saeidi, Manuel P Kainz, Misael Dalbosco, Michele Terzano, Gerhard A Holzapfel

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.1field-weighted citation impact, top 13% 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

11 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
  2. Review
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  5. Heterogeneity of white-matter organization in the human brain.bioRxiv : the preprint server for biology · 2026
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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

5 authors at 1 institution in 3 countries.

Saeideh SaeidiInstitute of Biomechanics, Graz University of Technology, Graz, Austria.
Manuel P KainzInstitute of Biomechanics, Graz University of Technology, Graz, Austria.
Misael DalboscoInstitute of Biomechanics, Graz University of Technology, Graz, Austria.
Michele TerzanoInstitute of Biomechanics, Graz University of Technology, Graz, Austria.
Gerhard A HolzapfelInstitute of Biomechanics, Graz University of Technology, Graz, Austria. holzapfel@tugraz.at.
Graz University of Technology · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this study, we propose a novel micromechanical model for the brain white matter, which is described as a heterogeneous material with a complex network of axon fibers embedded in a soft ground matrix. We developed this model in the framework of RVE-based multiscale theories in combination with the finite element method and the embedded element technique for embedding the fibers. Microstructural features such as axon diameter, orientation and tortuosity are incorporated into the model through distributions derived from histological data. The constitutive law of both the fibers and the matrix is described by isotropic one-term Ogden functions. The hyperelastic response of the tissue is derived by homogenizing the microscopic stress fields with multiscale boundary conditions to ensure kinematic compatibility. The macroscale homogenized stress is employed in an inverse parameter identification procedure to determine the hyperelastic constants of axons and ground matrix, based on experiments on human corpus callosum. Our results demonstrate the fundamental effect of axon tortuosity on the mechanical behavior of the brain's white matter. By combining histological information with the multiscale theory, the proposed framework can substantially contribute to the understanding of mechanotransduction phenomena, shed light on the biomechanics of a healthy brain, and potentially provide insights into neurodegenerative processes.

Indexed as

White MatterBiomechanical PhenomenaBrainFinite Element AnalysisHumansMechanotransduction, CellularModels, BiologicalStress, Mechanical

Identifiers

PMID37949949
PMCPMC10638412
OpenAlexW4388564923

What OpenQuestion holds

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LicenceCC BY
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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.