Article ; Online: Multi-Scale White Matter Tract Embedded Brain Finite Element Model Predicts the Location of Traumatic Diffuse Axonal Injury.
2020 Volume 38, Issue 1, Page(s) 144–157
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 ... ...
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 |
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MeSH term(s) | Animals ; Brain/diagnostic imaging ; Brain Injuries, Diffuse/diagnostic imaging ; Finite Element Analysis ; Models, Neurological ; Swine ; White Matter/diagnostic imaging |
Language | English |
Publishing date | 2020-09-25 |
Publishing country | United States |
Document type | Journal Article ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't |
ZDB-ID | 645092-1 |
ISSN | 1557-9042 ; 0897-7151 |
ISSN (online) | 1557-9042 |
ISSN | 0897-7151 |
DOI | 10.1089/neu.2019.6791 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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