Evidence map›Paper›PMID 32772838›Full record

ArticleJournal of neurotrauma2021

Multi-Scale White Matter Tract Embedded Brain Finite Element Model Predicts the Location of Traumatic Diffuse Axonal Injury.

Marzieh Hajiaghamemar, Susan S Margulies

Open access · greenAbstract read
In one paragraph

Article in Journal of neurotrauma, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
5.3field-weighted citation impact, top 3% 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

29 citing papers in PubMed, 71 citations in OpenAlex.

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  12. Quantitative video analysis of head acceleration events: a review.Frontiers in bioengineering and biotechnology · 2025
    Review
  13. Cellular mechanisms of traumatic brain injury.npj biological physics and mechanics · 2025
    Review
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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

2 authors at 1 institution in 1 country.

Marzieh HajiaghamemarDepartment of Biomedical Engineering, University of Texas at San Antonio, San Antonio, Texas, USA.
Susan S MarguliesWallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, Georgia, USA.
Georgia Institute of Technology · US

Funding

Objective Translational Multi-domain Early Concussion AssessmentR01NS097549 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI ARBOGAST, KRISTY, MARGULIES, SUSAN SHEPS · 2017 to 2021
$4.5M
In Vivo Measurement of Brain BiomechanicsR56NS055951 · NINDS · WASHINGTON UNIVERSITY · PI BAYLY, PHILIP V · 2018 to 2018
$563k
NINDS NIH HHS R01 NS097549NINDS NIH HHS R56 NS055951
6 · The paper itself

Abstract

Finite element models (FEMs) are used increasingly in the traumatic brain injury (TBI) field to provide an estimation of tissue responses and predict the probability of sustaining TBI after a biomechanical event. However, FEM studies have mainly focused on predicting the absence/presence of TBI rather than estimating the location of injury. In this study, we created a multi-scale FEM of the pig brain with embedded axonal tracts to estimate the sites of acute (≤6 h) traumatic axonal injury (TAI) after rapid head rotation. We examined three finite element (FE)-derived metrics related to the axonal bundle deformation and three FE-derived metrics based on brain tissue deformation for prediction of acute TAI location. Rapid head rotations were performed in pigs, and TAI neuropathological maps were generated and colocalized to the FEM. The distributions of the FEM-derived brain/axonal deformations spatially correlate with the locations of acute TAI. For each of the six metric candidates, we examined a matrix of different injury thresholds (th

Indexed as

AnimalsBrainBrain Injuries, DiffuseFinite Element AnalysisModels, NeurologicalSwineWhite Matteraxonal tractographybrain injury localizationfinite element–histopathology coregistrationmeso-/macroscale computational modelneuropathology mapping

Identifiers

PMID32772838
PMCPMC7757550
OpenAlexW3048837323

What OpenQuestion holds

Textmetadata
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.