Evidence map›Paper›PMID 39329660›Full record

ArticleBioengineering (Basel, Switzerland)2024

An Objective Injury Threshold for the Maximum Principal Strain Criterion for Brain Tissue in the Finite Element Head Model and Its Application.

Yuting Zhang, Liqun Tang, Yiping Liu, Bao Yang, Zhenyu Jiang, Zejia Liu, Licheng Zhou

Abstract read
In one paragraph

Article in Bioengineering (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
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

7 authors.

Yuting ZhangDepartment of Engineering Mechanics, School of Civil Engineering and Transportation, South China University of Technology, No. 381, Wushan Road, Guangzhou 510000, China.
Liqun TangDepartment of Engineering Mechanics, School of Civil Engineering and Transportation, South China University of Technology, No. 381, Wushan Road, Guangzhou 510000, China.ORCID 0000-0001-6037-1733
Yiping LiuDepartment of Engineering Mechanics, School of Civil Engineering and Transportation, South China University of Technology, No. 381, Wushan Road, Guangzhou 510000, China.ORCID 0000-0003-2900-3435
Bao YangDepartment of Engineering Mechanics, School of Civil Engineering and Transportation, South China University of Technology, No. 381, Wushan Road, Guangzhou 510000, China.ORCID 0000-0003-3638-0212
Zhenyu JiangDepartment of Engineering Mechanics, School of Civil Engineering and Transportation, South China University of Technology, No. 381, Wushan Road, Guangzhou 510000, China.
Zejia LiuDepartment of Engineering Mechanics, School of Civil Engineering and Transportation, South China University of Technology, No. 381, Wushan Road, Guangzhou 510000, China.
Licheng ZhouDepartment of Engineering Mechanics, School of Civil Engineering and Transportation, South China University of Technology, No. 381, Wushan Road, Guangzhou 510000, China.

Funding

the Guangdong Provincial Key Laboratory of Human Digital Twin 2022B1212010004the National Key R&D Program of China 2022YFC3601002the National Natural Science Foundation of China 11932007, 12372181, 12072115, 12072116the Natural Science Foundation of Guangdong Province, China 2023A1515012942the State Key Laboratory of Subtropical Building and Urban Science 2022KA05
6 · The paper itself

Abstract

Although the finite element head model (FEHM) has been widely utilized to analyze injury locations and patterns in traumatic brain injury, significant controversy persists regarding the selection of a mechanical injury variable and its corresponding threshold. This paper aims to determine an objective injury threshold for maximum principal strain (MPS) through a novel data-driven method, and to validate and apply it. We extract the peak responses from all elements across 100 head impact simulations to form a dataset, and then determine the objective injury threshold by analyzing the relationship between the combined injury degree and the threshold according to the stationary value principle. Using an occipital impact case from a clinical report as an example, we evaluate the accuracy of the injury prediction based on the new threshold. The results show that the injury area predicted by finite element analysis closely matches the main injury area observed in CT images, without the issue of over- or underestimating the injury due to an unreasonable threshold. Furthermore, by applying this threshold to the finite element analysis of designed occipital impacts, we observe, for the first time, supra-tentorium cerebelli injury, which is related to visual memory impairment. This discovery may indicate the biomechanical mechanism of visual memory impairment after occipital impacts reported in clinical cases.

Indexed as

brain injury thresholdsFEHMmaximum principal strainsupra-tentorium cerebellivisual memory impairment

Identifiers

PMID39329660
PMCPMC11429161

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.