Literature DB >> 31952465

Biomechanics of the Human Brain during Dynamic Rotation of the Head.

Ahmed Alshareef1, J Sebastian Giudice1, Jason Forman1, Daniel F Shedd1, Kristen A Reynier1, Taotao Wu1, Sara Sochor1, Mark R Sochor1, Robert S Salzar1, Matthew B Panzer1.   

Abstract

Traumatic brain injuries (TBI) are a substantial societal burden. The development of better technologies and systems to prevent and/or mitigate the severity of brain injury requires an improved understanding of the mechanisms of brain injury, and more specifically, how head impact exposure relates to brain deformation. Biomechanical investigations have used computational models to identify these relations, but more experimental brain deformation data are needed to validate these models and support their conclusions. The objective of this study was to generate a dataset describing in situ human brain motion under rotational loading at impact conditions considered injurious. Six head-neck human post-mortem specimens, unembalmed and never frozen, were instrumented with 24 sonomicrometry crystals embedded throughout the parenchyma that can directly measure dynamic brain motion. Dynamic brain displacement, relative to the skull, was measured for each specimen with four loading severities in the three directions of controlled rotation, for a total of 12 tests per specimen. All testing was completed 42-72 h post-mortem for each specimen. The final dataset contains approximately 5,000 individual point displacement time-histories that can be used to validate computational brain models. Brain motion was direction-dependent, with axial rotation resulting in the largest magnitude of displacement. Displacements were largest in the mid-cerebrum, and the inferior regions of the brain-the cerebellum and brainstem-experienced relatively lower peak displacements. Brain motion was also found to be positively correlated to peak angular velocity, and negatively correlated with angular velocity duration, a finding that has implications related to brain injury risk-assessment methods. This dataset of dynamic human brain motion will form the foundation for the continued development and refinement of computational models of the human brain for predicting TBI.

Entities:  

Keywords:  FE model validation; brain biomechanics; sonomicrometry; traumatic brain injury

Year:  2020        PMID: 31952465      PMCID: PMC7307677          DOI: 10.1089/neu.2019.6847

Source DB:  PubMed          Journal:  J Neurotrauma        ISSN: 0897-7151            Impact factor:   5.269


  32 in total

1.  Explicit Modeling of White Matter Axonal Fiber Tracts in a Finite Element Brain Model.

Authors:  Taotao Wu; Ahmed Alshareef; J Sebastian Giudice; Matthew B Panzer
Journal:  Ann Biomed Eng       Date:  2019-03-14       Impact factor: 3.934

2.  A Novel Method for Quantifying Human In Situ Whole Brain Deformation under Rotational Loading Using Sonomicrometry.

Authors:  Ahmed Alshareef; J Sebastian Giudice; Jason Forman; Robert S Salzar; Matthew B Panzer
Journal:  J Neurotrauma       Date:  2018-01-29       Impact factor: 5.269

3.  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

4.  State-of-the-Art Modeling and Simulation of the Brain's Response to Mechanical Loads.

Authors:  Mark F Horstemeyer; Matthew B Panzer; Raj K Prabhu
Journal:  Ann Biomed Eng       Date:  2019-09       Impact factor: 3.934

5.  The effects of mechanical compression and hypoxia on nerve root and dorsal root ganglia. An analysis of ectopic firing using an in vitro model.

Authors:  O Sugawara; Y Atsuta; T Iwahara; T Muramoto; M Watakabe; Y Takemitsu
Journal:  Spine (Phila Pa 1976)       Date:  1996-09-15       Impact factor: 3.468

6.  Brain injury prediction: assessing the combined probability of concussion using linear and rotational head acceleration.

Authors:  Steven Rowson; Stefan M Duma
Journal:  Ann Biomed Eng       Date:  2013-01-09       Impact factor: 3.934

7.  Evaluation of Head and Brain Injury Risk Functions Using Sub-Injurious Human Volunteer Data.

Authors:  Erin J Sanchez; Lee F Gabler; James S McGhee; Ardyn V Olszko; V Carol Chancey; Jeff R Crandall; Matthew B Panzer
Journal:  J Neurotrauma       Date:  2017-06-09       Impact factor: 5.269

8.  An axonal strain injury criterion for traumatic brain injury.

Authors:  Rika M Wright; K T Ramesh
Journal:  Biomech Model Mechanobiol       Date:  2011-04-08

9.  A proposed injury threshold for mild traumatic brain injury.

Authors:  Liying Zhang; King H Yang; Albert I King
Journal:  J Biomech Eng       Date:  2004-04       Impact factor: 2.097

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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  8 in total

1.  Concussion Prone Scenarios: A Multi-Dimensional Exploration in Impact Directions, Brain Morphology, and Network Architectures Using Computational Models.

Authors:  Taotao Wu; Jared A Rifkin; Adam C Rayfield; Erin D Anderson; Matthew B Panzer; David F Meaney
Journal:  Ann Biomed Eng       Date:  2022-09-20       Impact factor: 4.219

2.  Displacement Error Propagation From Embedded Markers to Brain Strain.

Authors:  Wei Zhao; Zheyang Wu; Songbai Ji
Journal:  J Biomech Eng       Date:  2021-10-01       Impact factor: 1.899

3.  Evaluation of Tissue-Level Brain Injury Metrics Using Species-Specific Simulations.

Authors:  Taotao Wu; Marzieh Hajiaghamemar; J Sebastian Giudice; Ahmed Alshareef; Susan S Margulies; Matthew B Panzer
Journal:  J Neurotrauma       Date:  2021-02-22       Impact factor: 4.869

4.  Predicting Concussion Outcome by Integrating Finite Element Modeling and Network Analysis.

Authors:  Erin D Anderson; J Sebastian Giudice; Taotao Wu; Matthew B Panzer; David F Meaney
Journal:  Front Bioeng Biotechnol       Date:  2020-04-15

5.  A Finite Element Model of Cerebral Vascular Injury for Predicting Microbleeds Location.

Authors:  Harry Duckworth; Adriana Azor; Nikolaus Wischmann; Karl A Zimmerman; Ilaria Tanini; David J Sharp; Mazdak Ghajari
Journal:  Front Bioeng Biotechnol       Date:  2022-04-20

6.  Center of mass and anatomical coordinate system definition for sheep head kinematics, with application to ovine models of traumatic brain injury.

Authors:  Jessica M Sharkey; Ryan D Quarrington; Charlie C Magarey; Claire F Jones
Journal:  J Neurosci Res       Date:  2022-04-20       Impact factor: 4.433

7.  Brain architecture-based vulnerability to traumatic injury.

Authors:  Jared A Rifkin; Taotao Wu; Adam C Rayfield; Erin D Anderson; Matthew B Panzer; David F Meaney
Journal:  Front Bioeng Biotechnol       Date:  2022-08-24

Review 8.  MR Imaging of Human Brain Mechanics In Vivo: New Measurements to Facilitate the Development of Computational Models of Brain Injury.

Authors:  Philip V Bayly; Ahmed Alshareef; Andrew K Knutsen; Kshitiz Upadhyay; Ruth J Okamoto; Aaron Carass; John A Butman; Dzung L Pham; Jerry L Prince; K T Ramesh; Curtis L Johnson
Journal:  Ann Biomed Eng       Date:  2021-07-01       Impact factor: 4.219

  8 in total

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