Literature DB >> 24484643

The influence of acceleration loading curve characteristics on traumatic brain injury.

Andrew Post1, T Blaine Hoshizaki2, Michael D Gilchrist3, Susan Brien4, Michael D Cusimano5, Shawn Marshall6.   

Abstract

To prevent brain trauma, understanding the mechanism of injury is essential. Once the mechanism of brain injury has been identified, prevention technologies could then be developed to aid in their prevention. The incidence of brain injury is linked to how the kinematics of a brain injury event affects the internal structures of the brain. As a result it is essential that an attempt be made to describe how the characteristics of the linear and rotational acceleration influence specific traumatic brain injury lesions. As a result, the purpose of this study was to examine the influence of the characteristics of linear and rotational acceleration pulses and how they account for the variance in predicting the outcome of TBI lesions, namely contusion, subdural hematoma (SDH), subarachnoid hemorrhage (SAH), and epidural hematoma (EDH) using a principal components analysis (PCA). Monorail impacts were conducted which simulated falls which caused the TBI lesions. From these reconstructions, the characteristics of the linear and rotational acceleration were determined and used for a PCA analysis. The results indicated that peak resultant acceleration variables did not account for any of the variance in predicting TBI lesions. The majority of the variance was accounted for by duration of the resultant and component linear and rotational acceleration. In addition, the components of linear and rotational acceleration characteristics on the x, y, and z axes accounted for the majority of the remainder of the variance after duration.
Copyright © 2014 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Kinematics; Principle components analysis; Traumatic brain injury

Mesh:

Year:  2014        PMID: 24484643     DOI: 10.1016/j.jbiomech.2013.12.026

Source DB:  PubMed          Journal:  J Biomech        ISSN: 0021-9290            Impact factor:   2.712


  3 in total

1.  Relationships between injury kinematics, neurological recovery, and pathology following concussion.

Authors:  Kathryn L Wofford; Michael R Grovola; Dayo O Adewole; Kevin D Browne; Mary E Putt; John C O'Donnell; D Kacy Cullen
Journal:  Brain Commun       Date:  2021-11-17

2.  Role of comprehensive nursing care in improving the prognosis and mood of patients with secondary cerebral infarction after craniocerebral injury.

Authors:  Deyan Cao; Nina Chu; Hongyan Yu; Meihua Sun
Journal:  Am J Transl Res       Date:  2021-06-15       Impact factor: 4.060

3.  The relationship between brain injury criteria and brain strain across different types of head impacts can be different.

Authors:  Xianghao Zhan; Yiheng Li; Yuzhe Liu; August G Domel; Hossein Vahid Alizadeh; Samuel J Raymond; Jesse Ruan; Saeed Barbat; Stephen Tiernan; Olivier Gevaert; Michael M Zeineh; Gerald A Grant; David B Camarillo
Journal:  J R Soc Interface       Date:  2021-06-02       Impact factor: 4.293

  3 in total

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