Literature DB >> 24077860

Parametric comparisons of intracranial mechanical responses from three validated finite element models of the human head.

Songbai Ji, Hamidreza Ghadyani, Richard P Bolander, Jonathan G Beckwith, James C Ford, Thomas W McAllister, Laura A Flashman, Keith D Paulsen, Karin Ernstrom, Sonia Jain, Rema Raman, Liying Zhang, Richard M Greenwald.   

Abstract

A number of human head finite element (FE) models have been developed from different research groups over the years to study the mechanisms of traumatic brain injury. These models can vary substantially in model features and parameters, making it important to evaluate whether simulation results from one model are readily comparable with another, and whether response-based injury thresholds established from a specific model can be generalized when a different model is employed. The purpose of this study is to parametrically compare regional brain mechanical responses from three validated head FE models to test the hypothesis that regional brain responses are dependent on the specific head model employed as well as the region of interest (ROI). The Dartmouth Scaled and Normalized Model (DSNM), the Simulated Injury Monitor (SIMon), and the Wayne State University Head Injury Model (WSUHIM) were selected for comparisons. For model input, 144 unique kinematic conditions were created to represent the range of head impacts sustained by male collegiate hockey players during play. These impacts encompass the 50th, 95th, and 99th percentile peak linear and rotational accelerations at 16 impact locations around the head. Five mechanical variables (strain, strain rate, strain × strain rate, stress, and pressure) in seven ROIs reported from the FE models were compared using Generalized Estimating Equation statistical models. Highly significant differences existed among FE models for nearly all output variables and ROIs. The WSUHIM produced substantially higher peak values for almost all output variables regardless of the ROI compared to the DSNM and SIMon models (p < 0.05). DSNM also produced significantly different stress and pressure compared with SIMon for all ROIs (p < 0.05), but such differences were not consistent across ROIs for other variables. Regardless of FE model, most output variables were highly correlated with linear and rotational peak accelerations. The significant disparities in regional brain responses across head models regardless of the output variables strongly suggest that model-predicted brain responses from one study should not be extended to other studies in which a different model is utilized. Consequently, response-based injury tolerance thresholds from a specific model should not be generalized to other studies either in which a different model is used. However, the similar relationships between regional responses and the linear/rotational peak accelerations suggest that each FE model can be used independently to assess regional brain responses to impact simulations in order to perform statistical correlations with medical images and/or well-selected experiments with documented injury findings.

Entities:  

Mesh:

Year:  2014        PMID: 24077860      PMCID: PMC4397967          DOI: 10.1007/s10439-013-0907-2

Source DB:  PubMed          Journal:  Ann Biomed Eng        ISSN: 0090-6964            Impact factor:   3.934


  30 in total

1.  Influence of impact direction on the human head in prediction of subdural hematoma.

Authors:  Svein Kleiven
Journal:  J Neurotrauma       Date:  2003-04       Impact factor: 5.269

2.  Biomechanical correlates of symptomatic and asymptomatic neurophysiological impairment in high school football.

Authors:  Evan L Breedlove; Meghan Robinson; Thomas M Talavage; Katherine E Morigaki; Umit Yoruk; Kyle O'Keefe; Jeff King; Larry J Leverenz; Jeffrey W Gilger; Eric A Nauman
Journal:  J Biomech       Date:  2012-02-28       Impact factor: 2.712

Review 3.  Biomechanics of concussion.

Authors:  David F Meaney; Douglas H Smith
Journal:  Clin Sports Med       Date:  2011-01       Impact factor: 2.182

4.  Modeling brain injury response for rotational velocities of varying directions and magnitudes.

Authors:  Ashley A Weaver; Kerry A Danelson; Joel D Stitzel
Journal:  Ann Biomed Eng       Date:  2012-03-23       Impact factor: 3.934

5.  Consequences of head size following trauma to the human head.

Authors:  Svein Kleiven; Hans von Holst
Journal:  J Biomech       Date:  2002-02       Impact factor: 2.712

6.  Measuring head kinematics in football: correlation between the head impact telemetry system and Hybrid III headform.

Authors:  Jonathan G Beckwith; Richard M Greenwald; Jeffrey J Chu
Journal:  Ann Biomed Eng       Date:  2011-10-13       Impact factor: 3.934

7.  Head injury prediction capability of the HIC, HIP, SIMon and ULP criteria.

Authors:  Daniel Marjoux; Daniel Baumgartner; Caroline Deck; Rémy Willinger
Journal:  Accid Anal Prev       Date:  2008-01-07

8.  A proposed new biomechanical head injury assessment function - the maximum power index.

Authors:  J A Newman; N Shewchenko; E Welbourne
Journal:  Stapp Car Crash J       Date:  2000-11

9.  Investigation of Head Injury Mechanisms Using Neutral Density Technology and High-Speed Biplanar X-ray.

Authors:  W N Hardy; C D Foster; M J Mason; K H Yang; A I King; S Tashman
Journal:  Stapp Car Crash J       Date:  2001-11

10.  Predictors for traumatic brain injuries evaluated through accident reconstructions.

Authors:  Svein Kleiven
Journal:  Stapp Car Crash J       Date:  2007-10
View more
  30 in total

1.  White Matter Injury Susceptibility via Fiber Strain Evaluation Using Whole-Brain Tractography.

Authors:  Wei Zhao; James C Ford; Laura A Flashman; Thomas W McAllister; Songbai Ji
Journal:  J Neurotrauma       Date:  2016-03-30       Impact factor: 5.269

2.  A network-based response feature matrix as a brain injury metric.

Authors:  Shaoju Wu; Wei Zhao; Bethany Rowson; Steven Rowson; Songbai Ji
Journal:  Biomech Model Mechanobiol       Date:  2019-11-23

3.  Injury prediction and vulnerability assessment using strain and susceptibility measures of the deep white matter.

Authors:  Wei Zhao; Yunliang Cai; Zhigang Li; Songbai Ji
Journal:  Biomech Model Mechanobiol       Date:  2017-05-12

4.  A 3D Computational Head Model Under Dynamic Head Rotation and Head Extension Validated Using Live Human Brain Data, Including the Falx and the Tentorium.

Authors:  Y-C Lu; N P Daphalapurkar; A K Knutsen; J Glaister; D L Pham; J A Butman; J L Prince; P V Bayly; K T Ramesh
Journal:  Ann Biomed Eng       Date:  2019-02-14       Impact factor: 3.934

5.  Group-wise evaluation and comparison of white matter fiber strain and maximum principal strain in sports-related concussion.

Authors:  Songbai Ji; Wei Zhao; James C Ford; Jonathan G Beckwith; Richard P Bolander; Richard M Greenwald; Laura A Flashman; Keith D Paulsen; Thomas W McAllister
Journal:  J Neurotrauma       Date:  2015-02-06       Impact factor: 5.269

6.  Head impact accelerations for brain strain-related responses in contact sports: a model-based investigation.

Authors:  Songbai Ji; Wei Zhao; Zhigang Li; Thomas W McAllister
Journal:  Biomech Model Mechanobiol       Date:  2014-03-09

7.  Brain strain uncertainty due to shape variation in and simplification of head angular velocity profiles.

Authors:  Wei Zhao; Songbai Ji
Journal:  Biomech Model Mechanobiol       Date:  2016-09-19

8.  White Matter Anisotropy for Impact Simulation and Response Sampling in Traumatic Brain Injury.

Authors:  Wei Zhao; Songbai Ji
Journal:  J Neurotrauma       Date:  2018-08-10       Impact factor: 5.269

9.  Displacement- and Strain-Based Discrimination of Head Injury Models across a Wide Range of Blunt Conditions.

Authors:  Wei Zhao; Songbai Ji
Journal:  Ann Biomed Eng       Date:  2020-04-02       Impact factor: 3.934

10.  Propagation of errors from skull kinematic measurements to finite element tissue responses.

Authors:  Calvin Kuo; Lyndia Wu; Wei Zhao; Michael Fanton; Songbai Ji; David B Camarillo
Journal:  Biomech Model Mechanobiol       Date:  2017-08-30
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.