Literature DB >> 29132269

Correlation of Concussion Symptom Profile with Head Impact Biomechanics: A Case for Individual-Specific Injury Tolerance.

Steven Rowson1, Stefan M Duma1, Brian D Stemper2, Alok Shah2, Jason P Mihalik3, Jaroslaw Harezlak4, Larry D Riggen5, Christopher C Giza6, John P DiFiori7, Alison Brooks8, Kevin Guskiewicz3, Darren Campbell9, Gerald McGinty9, Steven J Svoboda10, Kenneth L Cameron10, Steven P Broglio11, Thomas W McAllister12, Michael McCrea2.   

Abstract

Concussion is a brain injury induced by biomechanical forces that is broadly defined as a complex pathophysiological process affecting the brain. The intricate link between biomechanical input and concussion injury response is poorly understood. We aimed to test the hypothesis that greater biomechanical forces would result in the presentation of more concussion-related symptoms that would take longer to resolve. The objective of this study was to investigate the relationship between an array of biomechanical parameters measured for concussive impacts and the presentation and resolution of concussion symptoms. A total of 319 collegiate football players from six universities were recruited to participate in this study. Certified athletic trainers and/or team physicians at each site diagnosed and treated concussions sustained by subjects through participation in football. The subjects' helmets were instrumented with accelerometer arrays that measured linear and rotational head accelerations for each impact experienced during games and practices. Correlations between biomechanical measurements associated with concussion symptom presentation and recovery were quantified. A total of 22 subjects collectively sustained 25 concussions, with three subjects sustaining two concussions each. Biomechanical measures associated with injury were not found to be correlated with number of symptoms, Sport Concussion Assessment Tool 3 Symptom Severity Score, or time to symptom resolution. Linear and rotational accelerations associated with injury were not correlated with symptom severity for any of the 22 individual symptoms evaluated. Further, we found no association between impact location and presence of any individual symptom when ignoring severity grade. While concussive impacts did not stand out relative to impacts that did not result in injury, concussive impacts were among the most severe for each individual player. This suggests tolerance to head acceleration might be individual-specific, meaning similar biomechanical inputs can produce different injury presentations between individuals. Future investigations should consider individual-specific analyses of tolerance to head acceleration and injury response.

Entities:  

Keywords:  CARE; HITS; SCAT3; acceleration; exposure; risk

Mesh:

Year:  2018        PMID: 29132269     DOI: 10.1089/neu.2017.5169

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


  28 in total

1.  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

2.  Estimated Age of First Exposure to Contact Sports Is Not Associated with Greater Symptoms or Worse Cognitive Functioning in Male U.S. Service Academy Athletes.

Authors:  Jaclyn B Caccese; Grant L Iverson; Kenneth L Cameron; Megan N Houston; Gerald T McGinty; Jonathan C Jackson; Patrick O'Donnell; Paul F Pasquina; Steven P Broglio; Michael McCrea; Thomas McAllister; Thomas A Buckley
Journal:  J Neurotrauma       Date:  2019-09-20       Impact factor: 5.269

3.  Concussion Risk Between Individual Football Players: Survival Analysis of Recurrent Events and Non-events.

Authors:  Steven Rowson; Eamon T Campolettano; Stefan M Duma; Brian Stemper; Alok Shah; Jaroslaw Harezlak; Larry Riggen; Jason P Mihalik; Alison Brooks; Kenneth L Cameron; Steven J Svoboda; Megan N Houston; Thomas McAllister; Steven Broglio; Michael McCrea
Journal:  Ann Biomed Eng       Date:  2020-10-28       Impact factor: 3.934

4.  Does baseline concussion testing aid in identifying future concussion risk?

Authors:  Jaclyn B Caccese; Kassandra E Johns; Jody L Langdon; George W Shaver; Thomas A Buckley
Journal:  Res Sports Med       Date:  2019-07-09       Impact factor: 4.674

5.  Use of Brain Biomechanical Models for Monitoring Impact Exposure in Contact Sports.

Authors:  Songbai Ji; Mazdak Ghajari; Haojie Mao; Reuben H Kraft; Marzieh Hajiaghamemar; Matthew B Panzer; Remy Willinger; Michael D Gilchrist; Svein Kleiven; Joel D Stitzel
Journal:  Ann Biomed Eng       Date:  2022-07-22       Impact factor: 4.219

6.  Concussion Symptom Characteristics and Resolution in 20 United States High School Sports, 2013/14-2017/18 Academic Years.

Authors:  Avinash Chandran; Zachary Y Kerr; Patricia R Roby; Aliza K Nedimyer; Alan Arakkal; Lauren A Pierpoint; Scott L Zuckerman
Journal:  Neurosurgery       Date:  2020-09-01       Impact factor: 4.654

7.  Quantifying Youth Football Helmet Performance: Assessing Linear and Rotational Head Acceleration.

Authors:  Eamon T Campolettano; Ryan A Gellner; David W Sproule; Mark T Begonia; Steven Rowson
Journal:  Ann Biomed Eng       Date:  2020-04-07       Impact factor: 3.934

8.  Cortical Spreading Depression Denotes Concussion Injury.

Authors:  James Bouley; David Y Chung; Cenk Ayata; Robert H Brown; Nils Henninger
Journal:  J Neurotrauma       Date:  2018-08-24       Impact factor: 5.269

Review 9.  Factors Associated with Sport-Related Post-concussion Headache and Opportunities for Treatment.

Authors:  Johna K Register-Mihalik; Christina B Vander Vegt; Michael Cools; Kevin Carnerio
Journal:  Curr Pain Headache Rep       Date:  2018-09-10

10.  Instantaneous Whole-Brain Strain Estimation in Dynamic Head Impact.

Authors:  Kianoosh Ghazi; Shaoju Wu; Wei Zhao; Songbai Ji
Journal:  J Neurotrauma       Date:  2020-12-14       Impact factor: 5.269

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