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The biomechanical signature of loss of consciousness: computational modelling of elite athlete head injuries
Sports related head injuries can cause transient neurological events including loss of consciousness and dystonic posturing. However, it is unknown why head impacts that appear similar produce distinct neurological effects. The biomechanical effect of impacts can be estimated using computational mod...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10316777/ https://www.ncbi.nlm.nih.gov/pubmed/36546554 http://dx.doi.org/10.1093/brain/awac485 |
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author | Zimmerman, Karl A Cournoyer, Janie Lai, Helen Snider, Samuel B Fischer, David Kemp, Simon Karton, Clara Hoshizaki, Thomas B Ghajari, Mazdak Sharp, David J |
author_facet | Zimmerman, Karl A Cournoyer, Janie Lai, Helen Snider, Samuel B Fischer, David Kemp, Simon Karton, Clara Hoshizaki, Thomas B Ghajari, Mazdak Sharp, David J |
author_sort | Zimmerman, Karl A |
collection | PubMed |
description | Sports related head injuries can cause transient neurological events including loss of consciousness and dystonic posturing. However, it is unknown why head impacts that appear similar produce distinct neurological effects. The biomechanical effect of impacts can be estimated using computational models of strain within the brain. Here, we investigate the strain and strain rates produced by professional American football impacts that led to loss of consciousness, posturing or no neurological signs. We reviewed 1280 National Football League American football games and selected cases where the team’s medical personnel made a diagnosis of concussion. Videos were then analysed for signs of neurological events. We identified 20 head impacts that showed clear video signs of loss of consciousness and 21 showing clear abnormal posturing. Forty-one control impacts were selected where there was no observable evidence of neurological signs, resulting in 82 videos of impacts for analysis. Video analysis was used to guide physical reconstructions of these impacts, allowing us to estimate the impact kinematics. These were then used as input to a detailed 3D high-fidelity finite element model of brain injury biomechanics to estimate strain and strain rate within the brain. We tested the hypotheses that impacts producing loss of consciousness would be associated with the highest biomechanical forces, that loss of consciousness would be associated with high forces in brainstem nuclei involved in arousal and that dystonic posturing would be associated with high forces in motor regions. Impacts leading to loss of consciousness compared to controls produced higher head acceleration (linear acceleration; 81.5 g ± 39.8 versus 47.9 ± 21.4; P = 0.004, rotational acceleration; 5.9 krad/s(2) ± 2.4 versus 3.5 ± 1.6; P < 0.001) and in voxel-wise analysis produced larger brain deformation in many brain regions, including parts of the brainstem and cerebellum. Dystonic posturing was also associated with higher deformation compared to controls, with brain deformation observed in cortical regions that included the motor cortex. Loss of consciousness was specifically associated with higher strain rates in brainstem regions implicated in maintenance of consciousness, including following correction for the overall severity of impact. These included brainstem nuclei including the locus coeruleus, dorsal raphé and parabrachial complex. The results show that in head impacts producing loss of consciousness, brain deformation is disproportionately seen in brainstem regions containing nuclei involved in arousal, suggesting that head impacts produce loss of consciousness through a biomechanical effect on key brainstem nuclei involved in the maintenance of consciousness. |
format | Online Article Text |
id | pubmed-10316777 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-103167772023-07-04 The biomechanical signature of loss of consciousness: computational modelling of elite athlete head injuries Zimmerman, Karl A Cournoyer, Janie Lai, Helen Snider, Samuel B Fischer, David Kemp, Simon Karton, Clara Hoshizaki, Thomas B Ghajari, Mazdak Sharp, David J Brain Original Article Sports related head injuries can cause transient neurological events including loss of consciousness and dystonic posturing. However, it is unknown why head impacts that appear similar produce distinct neurological effects. The biomechanical effect of impacts can be estimated using computational models of strain within the brain. Here, we investigate the strain and strain rates produced by professional American football impacts that led to loss of consciousness, posturing or no neurological signs. We reviewed 1280 National Football League American football games and selected cases where the team’s medical personnel made a diagnosis of concussion. Videos were then analysed for signs of neurological events. We identified 20 head impacts that showed clear video signs of loss of consciousness and 21 showing clear abnormal posturing. Forty-one control impacts were selected where there was no observable evidence of neurological signs, resulting in 82 videos of impacts for analysis. Video analysis was used to guide physical reconstructions of these impacts, allowing us to estimate the impact kinematics. These were then used as input to a detailed 3D high-fidelity finite element model of brain injury biomechanics to estimate strain and strain rate within the brain. We tested the hypotheses that impacts producing loss of consciousness would be associated with the highest biomechanical forces, that loss of consciousness would be associated with high forces in brainstem nuclei involved in arousal and that dystonic posturing would be associated with high forces in motor regions. Impacts leading to loss of consciousness compared to controls produced higher head acceleration (linear acceleration; 81.5 g ± 39.8 versus 47.9 ± 21.4; P = 0.004, rotational acceleration; 5.9 krad/s(2) ± 2.4 versus 3.5 ± 1.6; P < 0.001) and in voxel-wise analysis produced larger brain deformation in many brain regions, including parts of the brainstem and cerebellum. Dystonic posturing was also associated with higher deformation compared to controls, with brain deformation observed in cortical regions that included the motor cortex. Loss of consciousness was specifically associated with higher strain rates in brainstem regions implicated in maintenance of consciousness, including following correction for the overall severity of impact. These included brainstem nuclei including the locus coeruleus, dorsal raphé and parabrachial complex. The results show that in head impacts producing loss of consciousness, brain deformation is disproportionately seen in brainstem regions containing nuclei involved in arousal, suggesting that head impacts produce loss of consciousness through a biomechanical effect on key brainstem nuclei involved in the maintenance of consciousness. Oxford University Press 2022-12-22 /pmc/articles/PMC10316777/ /pubmed/36546554 http://dx.doi.org/10.1093/brain/awac485 Text en © The Author(s) 2022. Published by Oxford University Press on behalf of the Guarantors of Brain. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Original Article Zimmerman, Karl A Cournoyer, Janie Lai, Helen Snider, Samuel B Fischer, David Kemp, Simon Karton, Clara Hoshizaki, Thomas B Ghajari, Mazdak Sharp, David J The biomechanical signature of loss of consciousness: computational modelling of elite athlete head injuries |
title | The biomechanical signature of loss of consciousness: computational modelling of elite athlete head injuries |
title_full | The biomechanical signature of loss of consciousness: computational modelling of elite athlete head injuries |
title_fullStr | The biomechanical signature of loss of consciousness: computational modelling of elite athlete head injuries |
title_full_unstemmed | The biomechanical signature of loss of consciousness: computational modelling of elite athlete head injuries |
title_short | The biomechanical signature of loss of consciousness: computational modelling of elite athlete head injuries |
title_sort | biomechanical signature of loss of consciousness: computational modelling of elite athlete head injuries |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10316777/ https://www.ncbi.nlm.nih.gov/pubmed/36546554 http://dx.doi.org/10.1093/brain/awac485 |
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