Literature DB >> 21994065

Mild traumatic brain injury predictors based on angular accelerations during impacts.

Hideyuki Kimpara1, Masami Iwamoto.   

Abstract

Although Head Injury Criterion (HIC) is an effective criterion for head injuries caused by linear acceleration such as skull fractures, no criteria for head injuries caused by rotational kinematics has been accepted as effective so far. This study proposed two criteria based on angular accelerations for Traumatic Brain Injury (TBI), which we call Rotational Injury Criterion (RIC) and Power Rotational Head Injury Criterion (PRHIC). Concussive and non-concussive head acceleration data obtained from football head impacts were utilized to develop new injury criteria. A well-validated human brain Finite Element (FE) model was employed to find out effective injury criteria for TBI. Correlation analyses were performed between the proposed criteria and FE-based brain injury predictors such as Cumulative Strain Damage Measure (CSDM), which is defined as the percent volume of the brain that exceeds a specified first principal strain threshold, proposed to predict Diffuse Axonal Injury (DAI) which is one of TBI. The RIC was significantly correlated with the CSDMs with the strain thresholds of less than 15% (R > 0.89), which might predict mild TBI. In addition, PRHIC was also strongly correlated with the CSDMs with the strain thresholds equal to or greater than 20% (R > 0.90), which might predict more severe TBI.

Entities:  

Mesh:

Year:  2011        PMID: 21994065     DOI: 10.1007/s10439-011-0414-2

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


  46 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.  Real-time, whole-brain, temporally resolved pressure responses in translational head impact.

Authors:  Wei Zhao; Songbai Ji
Journal:  Interface Focus       Date:  2016-02-06       Impact factor: 3.906

3.  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

Review 4.  Sport-related concussions: a review of epidemiology, challenges in diagnosis, and potential risk factors.

Authors:  James M Noble; Dale C Hesdorffer
Journal:  Neuropsychol Rev       Date:  2013-11-17       Impact factor: 7.444

5.  Performance Evaluation of a Pre-computed Brain Response Atlas in Dummy Head Impacts.

Authors:  Wei Zhao; Calvin Kuo; Lyndia Wu; David B Camarillo; Songbai Ji
Journal:  Ann Biomed Eng       Date:  2017-07-14       Impact factor: 3.934

6.  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

7.  A Porcine Model of Traumatic Brain Injury via Head Rotational Acceleration.

Authors:  D Kacy Cullen; James P Harris; Kevin D Browne; John A Wolf; John E Duda; David F Meaney; Susan S Margulies; Douglas H Smith
Journal:  Methods Mol Biol       Date:  2016

8.  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

9.  Improved prediction of direction-dependent, acute axonal injury in piglets.

Authors:  Lorre S Atlan; Colin Smith; Susan S Margulies
Journal:  J Neurosci Res       Date:  2017-08-21       Impact factor: 4.164

Review 10.  The mechanics of traumatic brain injury: a review of what we know and what we need to know for reducing its societal burden.

Authors:  David F Meaney; Barclay Morrison; Cameron Dale Bass
Journal:  J Biomech Eng       Date:  2014-02       Impact factor: 2.097

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