Patton, D A; McIntosh, A S; Kleiven, S
In: Journal of Applied Biomechanics, vol. 31, no. 4, pp. 264–268, 2015.
Abstract | Links | BibTeX | Tags: Article, Biomechanics, brain, Brain Injury, brain region, clinical article, Concussion, corpus callosum, Damage detection, evaluation study, finite element analysis, Finite element head models, Finite element method, Finite element simulations, football, gray matter, Head Injuries, head injury, human, Intra-cranial pressure, intracranial pressure, investigative procedures, Maximum principal strain, mesencephalon, Modeling, Models, Numerical reconstruction, Qualitative observations, Sport, sport injury, Sports, Strain and strain rates, Strain rate, Stress, thalamus, Tissue, tissue level
@article{Patton2015,
title = {The biomechanical determinants of concussion: Finite element simulations to investigate tissue-level predictors of injury during sporting impacts to the unprotected head},
author = {Patton, D A and McIntosh, A S and Kleiven, S},
doi = {10.1123/jab.2014-0223},
year = {2015},
date = {2015-01-01},
journal = {Journal of Applied Biomechanics},
volume = {31},
number = {4},
pages = {264--268},
abstract = {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. © 2015 Human Kinetics, Inc.},
keywords = {Article, Biomechanics, brain, Brain Injury, brain region, clinical article, Concussion, corpus callosum, Damage detection, evaluation study, finite element analysis, Finite element head models, Finite element method, Finite element simulations, football, gray matter, Head Injuries, head injury, human, Intra-cranial pressure, intracranial pressure, investigative procedures, Maximum principal strain, mesencephalon, Modeling, Models, Numerical reconstruction, Qualitative observations, Sport, sport injury, Sports, Strain and strain rates, Strain rate, Stress, thalamus, Tissue, tissue level},
pubstate = {published},
tppubtype = {article}
}
Patton, D A; McIntosh, A S; Kleiven, S
In: Journal of Applied Biomechanics, vol. 31, no. 4, pp. 264–268, 2015.
@article{Patton2015,
title = {The biomechanical determinants of concussion: Finite element simulations to investigate tissue-level predictors of injury during sporting impacts to the unprotected head},
author = {Patton, D A and McIntosh, A S and Kleiven, S},
doi = {10.1123/jab.2014-0223},
year = {2015},
date = {2015-01-01},
journal = {Journal of Applied Biomechanics},
volume = {31},
number = {4},
pages = {264--268},
abstract = {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. © 2015 Human Kinetics, Inc.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Patton, D A; McIntosh, A S; Kleiven, S
In: Journal of Applied Biomechanics, vol. 31, no. 4, pp. 264–268, 2015.
Abstract | Links | BibTeX | Tags: Article, Biomechanics, brain, Brain Injury, brain region, clinical article, Concussion, corpus callosum, Damage detection, evaluation study, finite element analysis, Finite element head models, Finite element method, Finite element simulations, football, gray matter, Head Injuries, head injury, human, Intra-cranial pressure, intracranial pressure, investigative procedures, Maximum principal strain, mesencephalon, Modeling, Models, Numerical reconstruction, Qualitative observations, Sport, sport injury, Sports, Strain and strain rates, Strain rate, Stress, thalamus, Tissue, tissue level
@article{Patton2015,
title = {The biomechanical determinants of concussion: Finite element simulations to investigate tissue-level predictors of injury during sporting impacts to the unprotected head},
author = {Patton, D A and McIntosh, A S and Kleiven, S},
doi = {10.1123/jab.2014-0223},
year = {2015},
date = {2015-01-01},
journal = {Journal of Applied Biomechanics},
volume = {31},
number = {4},
pages = {264--268},
abstract = {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. © 2015 Human Kinetics, Inc.},
keywords = {Article, Biomechanics, brain, Brain Injury, brain region, clinical article, Concussion, corpus callosum, Damage detection, evaluation study, finite element analysis, Finite element head models, Finite element method, Finite element simulations, football, gray matter, Head Injuries, head injury, human, Intra-cranial pressure, intracranial pressure, investigative procedures, Maximum principal strain, mesencephalon, Modeling, Models, Numerical reconstruction, Qualitative observations, Sport, sport injury, Sports, Strain and strain rates, Strain rate, Stress, thalamus, Tissue, tissue level},
pubstate = {published},
tppubtype = {article}
}