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The Biomechanical Determinants of Concussion: Finite Element Simulations to Investigate Tissue-Level Predictors of Injury During Sporting Impacts to the Unprotected Head
KTH, School of Technology and Health (STH), Medical Engineering, Neuronic Engineering.ORCID iD: 0000-0003-0125-0784
2015 (English)In: Journal of Applied Biomechanics, ISSN 1065-8483, E-ISSN 1543-2688, Vol. 31, no 4, 264-268 p.Article in journal (Refereed) Published
Abstract [en]

Biomechanical studies of concussions have progressed from qualitative observations of head impacts to physical and numerical reconstructions, direct impact measurements, and finite element analyses. Supplementary to a previous study, which investigated maximum principal strain, the current study used a detailed finite element head model to simulate unhelmeted concussion and no-injury head impacts and evaluate the effectiveness of various tissue-level brain injury predictors: strain rate, product of strain and strain rate, cumulative strain damage measure, von Mises stress, and intracranial pressure. Von Mises stress was found to be the most effective predictor of concussion. It was also found that the thalamus and corpus callosum were brain regions with strong associations with concussion. Tentative tolerance limits for tissue-level predictors were proposed in an attempt to broaden the understanding of unhelmeted concussions. For the thalamus, tolerance limits were proposed for a 50% likelihood of concussion: 2.24 kPa, 24.0 s(-1), and 2.49 s(-1) for von Mises stress, strain rate, and the product of strain and strain rate, respectively. For the corpus callosum, tolerance limits were proposed for a 50% likelihood of concussion: 3.51 kPa, 25.1 s(-1), and 2.76 s(-1) for von Mises stress, strain rate, and the product of strain and strain rate, respectively.

Place, publisher, year, edition, pages
2015. Vol. 31, no 4, 264-268 p.
Keyword [en]
biomechanics, head injury, modeling, sport
National Category
Other Medical Sciences
Identifiers
URN: urn:nbn:se:kth:diva-173151DOI: 10.1123/jab.2014-0223ISI: 000359096800009PubMedID: 25781376Scopus ID: 2-s2.0-84938301225OAI: oai:DiVA.org:kth-173151DiVA: diva2:854772
Note

QC 20150917

Available from: 2015-09-17 Created: 2015-09-07 Last updated: 2017-12-04Bibliographically approved

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Kleiven, Svein

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