Literature DB >> 26855762

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

Wei Zhao1, Songbai Ji2.   

Abstract

Theoretical debate still exists on the role of linear acceleration ( a lin) on the risk of brain injury. Recent injury metrics only consider head rotational acceleration ( a rot) but not a lin, despite that real-world on-field head impacts suggesting a lin significantly improves a concussion risk function. These controversial findings suggest a practical challenge in integrating theory and real-world experiment. Focusing on tissue-level mechanical responses estimated from finite-element (FE) models of the human head, rather than impact kinematics alone, may help address this debate. However, the substantial computational cost incurred (runtime and hardware) poses a significant barrier for their practical use. In this study, we established a real-time technique to estimate whole-brain a lin-induced pressures. Three hydrostatic atlas pressures corresponding to translational impacts (referred to as 'brain print') along the three major axes were pre-computed. For an arbitrary a lin profile at any instance in time, the atlas pressures were linearly scaled and then superimposed to estimate whole-brain responses. Using 12 publically available, independently measured or reconstructed real-world a lin profiles representative of a range of impact/injury scenarios, the technique was successfully validated (except for one case with an extremely short impulse of approx. 1 ms). The computational cost to estimate whole-brain pressure responses for an entire a lin profile was less than 0.1 s on a laptop versus typically hours on a high-end multicore computer. These findings suggest the potential of the simple, yet effective technique to enable future studies to focus on tissue-level brain responses, rather than solely relying on global head impact kinematics that have plagued early and contemporary brain injury research to date.

Entities:  

Keywords:  Dartmouth head injury model; Head Injury Criterion; linear acceleration; translational head impact; traumatic brain injury

Year:  2016        PMID: 26855762      PMCID: PMC4686251          DOI: 10.1098/rsfs.2015.0091

Source DB:  PubMed          Journal:  Interface Focus        ISSN: 2042-8898            Impact factor:   3.906


  38 in total

1.  A finite element method parametric study of the dynamic response of the human brain with different cerebrospinal fluid constitutive properties.

Authors:  M Sotudeh Chafi; V Dirisala; G Karami; M Ziejewski
Journal:  Proc Inst Mech Eng H       Date:  2009-11       Impact factor: 1.617

2.  Influence of angular acceleration-deceleration pulse shapes on regional brain strains.

Authors:  Narayan Yoganandan; Jianrong Li; Jiangyue Zhang; Frank A Pintar; Thomas A Gennarelli
Journal:  J Biomech       Date:  2008-06-16       Impact factor: 2.712

Review 3.  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

4.  Impact-induced pressure gradients along three orthogonal axes in the human skull.

Authors:  L M Thomas; V L Roberts; E S Gurdjian
Journal:  J Neurosurg       Date:  1967-03       Impact factor: 5.115

5.  Six Degree-of-Freedom Measurements of Human Mild Traumatic Brain Injury.

Authors:  Fidel Hernandez; Lyndia C Wu; Michael C Yip; Kaveh Laksari; Andrew R Hoffman; Jaime R Lopez; Gerald A Grant; Svein Kleiven; David B Camarillo
Journal:  Ann Biomed Eng       Date:  2014-12-23       Impact factor: 3.934

6.  Brain pressure responses in translational head impact: a dimensional analysis and a further computational study.

Authors:  Wei Zhao; Shijie Ruan; Songbai Ji
Journal:  Biomech Model Mechanobiol       Date:  2014-11-21

7.  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

8.  Correlation of an FE Model of the Human Head with Local Brain Motion--Consequences for Injury Prediction.

Authors:  Svein Kleiven; Warren N Hardy
Journal:  Stapp Car Crash J       Date:  2002-11

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

Authors:  Svein Kleiven
Journal:  Stapp Car Crash J       Date:  2007-10

10.  Development of brain injury criteria (BrIC).

Authors:  Erik G Takhounts; Matthew J Craig; Kevin Moorhouse; Joe McFadden; Vikas Hasija
Journal:  Stapp Car Crash J       Date:  2013-11
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  5 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.  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

3.  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

4.  Material properties of the brain in injury-relevant conditions - Experiments and computational modeling.

Authors:  Wei Zhao; Bryan Choate; Songbai Ji
Journal:  J Mech Behav Biomed Mater       Date:  2018-02-06

5.  An anatomically detailed and personalizable head injury model: Significance of brain and white matter tract morphological variability on strain.

Authors:  Xiaogai Li; Zhou Zhou; Svein Kleiven
Journal:  Biomech Model Mechanobiol       Date:  2020-10-10
  5 in total

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