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Brain strain rate response: Addressing computational ambiguity and experimental data for model validation
KTH, School of Engineering Sciences in Chemistry, Biotechnology and Health (CBH), Biomedical Engineering and Health Systems, Neuronic Engineering.ORCID iD: 0000-0002-3910-0418
KTH, School of Engineering Sciences in Chemistry, Biotechnology and Health (CBH), Biomedical Engineering and Health Systems, Neuronic Engineering.ORCID iD: 0000-0001-8522-4705
Department of Bioengineering, Stanford University, Stanford, CA, 94305, United States of America; cSchool of Biological Science and Medical Engineering, Beihang University, Beijing 100083, China.
Virginia Tech-Wake Forest Center for Injury Biomechanics, Blacksburg, VA, 24061, United States of America.
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2023 (English)In: Brain Multiphysics, E-ISSN 2666-5220, Vol. 4, article id 100073Article in journal (Refereed) Published
Abstract [en]

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.

Place, publisher, year, edition, pages
Elsevier BV , 2023. Vol. 4, article id 100073
Keywords [en]
Rate of deformation tensor, Strain rate validation, Time derivative of strain, Traumatic brain injury
National Category
Neurosciences
Identifiers
URN: urn:nbn:se:kth:diva-331558DOI: 10.1016/j.brain.2023.100073Scopus ID: 2-s2.0-85159719846OAI: oai:DiVA.org:kth-331558DiVA, id: diva2:1781964
Note

QC 20230711

Available from: 2023-07-11 Created: 2023-07-11 Last updated: 2023-07-11Bibliographically approved

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Zhou, ZhouLi, XiaogaiKleiven, Svein

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