Brain strain rate response: Addressing computational ambiguity and experimental data for model validation
Traumatic brain injury (TBI) is an alarming global public health issue with high morbidity and mortality rates. Although the causal link between external insults and consequent brain injury remains largely elusive, both strain and strain rate are generally recognized as crucial factors for TBI onset...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2023-01-01
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| Series: | Brain Multiphysics |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2666522023000114 |
| _version_ | 1797801734113853440 |
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| author | Zhou Zhou Xiaogai Li Yuzhe Liu Warren N. Hardy Svein Kleiven |
| author_facet | Zhou Zhou Xiaogai Li Yuzhe Liu Warren N. Hardy Svein Kleiven |
| author_sort | Zhou Zhou |
| collection | DOAJ |
| description | Traumatic brain injury (TBI) is an alarming global public health issue with high morbidity and mortality rates. Although the causal link between external insults and consequent brain injury remains largely elusive, both strain and strain rate are generally recognized as crucial factors for TBI onsets. With respect to the flourishment of strain-based investigation, ambiguity and inconsistency are noted in the scheme for strain rate calculation within the TBI research community. Furthermore, there is no experimental data that can be used to validate the strain rate responses of finite element (FE) models of the human brain. The current work presented a theoretical clarification of two commonly used strain rate computational schemes: the strain rate was either calculated as the time derivative of strain or derived from the rate of deformation tensor. To further substantiate the theoretical disparity, these two schemes were respectively implemented to estimate the strain rate responses from a previous-published cadaveric experiment and an FE head model secondary to a concussive impact. The results clearly showed scheme-dependent responses, both in the experimentally determined principal strain rate and model-derived principal and tract-oriented strain rates. The results highlight that cross-scheme comparison of strain rate responses is inappropriate, and the utilized strain rate computational scheme needs to be reported in future studies. The newly calculated experimental strain rate curves in the supplementary material can be used for strain rate validation of FE head models. |
| first_indexed | 2024-03-13T04:54:59Z |
| format | Article |
| id | doaj.art-d0e938baea2c47b8815524f69f9f4962 |
| institution | Directory Open Access Journal |
| issn | 2666-5220 |
| language | English |
| last_indexed | 2024-03-13T04:54:59Z |
| publishDate | 2023-01-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Brain Multiphysics |
| spelling | doaj.art-d0e938baea2c47b8815524f69f9f49622023-06-18T05:03:25ZengElsevierBrain Multiphysics2666-52202023-01-014100073Brain strain rate response: Addressing computational ambiguity and experimental data for model validationZhou Zhou0Xiaogai Li1Yuzhe Liu2Warren N. Hardy3Svein Kleiven4Neuronic Engineering, KTH Royal Institute of Technology, Stockholm, 14152, Sweden; Corresponding author.Neuronic Engineering, KTH Royal Institute of Technology, Stockholm, 14152, SwedenDepartment of Bioengineering, Stanford University, Stanford, CA, 94305, United States of America; School of Biological Science and Medical Engineering, Beihang University, Beijing 100083, ChinaVirginia Tech-Wake Forest Center for Injury Biomechanics, Blacksburg, VA, 24061, United States of AmericaNeuronic Engineering, KTH Royal Institute of Technology, Stockholm, 14152, SwedenTraumatic brain injury (TBI) is an alarming global public health issue with high morbidity and mortality rates. Although the causal link between external insults and consequent brain injury remains largely elusive, both strain and strain rate are generally recognized as crucial factors for TBI onsets. With respect to the flourishment of strain-based investigation, ambiguity and inconsistency are noted in the scheme for strain rate calculation within the TBI research community. Furthermore, there is no experimental data that can be used to validate the strain rate responses of finite element (FE) models of the human brain. The current work presented a theoretical clarification of two commonly used strain rate computational schemes: the strain rate was either calculated as the time derivative of strain or derived from the rate of deformation tensor. To further substantiate the theoretical disparity, these two schemes were respectively implemented to estimate the strain rate responses from a previous-published cadaveric experiment and an FE head model secondary to a concussive impact. The results clearly showed scheme-dependent responses, both in the experimentally determined principal strain rate and model-derived principal and tract-oriented strain rates. The results highlight that cross-scheme comparison of strain rate responses is inappropriate, and the utilized strain rate computational scheme needs to be reported in future studies. The newly calculated experimental strain rate curves in the supplementary material can be used for strain rate validation of FE head models.http://www.sciencedirect.com/science/article/pii/S2666522023000114Traumatic brain injuryTime derivative of strainRate of deformation tensorStrain rate validation |
| spellingShingle | Zhou Zhou Xiaogai Li Yuzhe Liu Warren N. Hardy Svein Kleiven Brain strain rate response: Addressing computational ambiguity and experimental data for model validation Brain Multiphysics Traumatic brain injury Time derivative of strain Rate of deformation tensor Strain rate validation |
| title | Brain strain rate response: Addressing computational ambiguity and experimental data for model validation |
| title_full | Brain strain rate response: Addressing computational ambiguity and experimental data for model validation |
| title_fullStr | Brain strain rate response: Addressing computational ambiguity and experimental data for model validation |
| title_full_unstemmed | Brain strain rate response: Addressing computational ambiguity and experimental data for model validation |
| title_short | Brain strain rate response: Addressing computational ambiguity and experimental data for model validation |
| title_sort | brain strain rate response addressing computational ambiguity and experimental data for model validation |
| topic | Traumatic brain injury Time derivative of strain Rate of deformation tensor Strain rate validation |
| url | http://www.sciencedirect.com/science/article/pii/S2666522023000114 |
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