Analyzing the changes in the brain material properties after a mild traumatic brain injury—A pilot study

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dc.contributor.author Kwon, Eryn
dc.contributor.author Holdsworth, Samantha
dc.contributor.author Guild, Sarah‐Jane
dc.contributor.author Scadeng, Miriam
dc.contributor.author Jayatissa, Sahan
dc.contributor.author Kollarczik, Leon
dc.contributor.author Tayebi, Maryam
dc.contributor.author Rosset, Samuel
dc.contributor.author Shim, Vickie
dc.date.accessioned 2022-06-23T04:22:32Z
dc.date.available 2022-06-23T04:22:32Z
dc.date.issued 2020-11-15
dc.identifier.citation (2020). Engineering Reports, 3(5), Article ARTN e12332.
dc.identifier.issn 2577-8196
dc.identifier.uri https://hdl.handle.net/2292/60115
dc.description.abstract Abstract Traumatic brain injury (TBI) is a major health challenge, is very difficult to diagnose, and currently has no accepted treatment options. The difficulty in diagnosis is due to the complex pathophysiology of TBI, where the damage mechanisms span multiple spatial and temporal scales and ultimately manifest as diverse cognitive impairments in brain function. The speed and dynamic nature with which the mechanical insults occur in TBI means that computational models are the best candidate to mimic the in vivo event and to investigate the injury progression in detail. A current weakness in TBI computational models is the poor understanding of how material properties within different regions of the brain change after damage. Here, we developed an animal experiment pipeline where a controlled and reproducible mechanical insult can be applied to a sheep brain in vivo followed by ex vivo compression mechanical testing. For each brain, the compression mechanical testing was conducted across the length of the brain to assess baseline regional variations in material properties and how these properties changed after mechanical impact. Using this pipeline, we have characterized locational variations in the brain material properties both pre and post-TBI. Our preliminary results confirm that there exist locational variations in the brain material properties across all regions of cerebrum. The analysis of post-TBI tissues showed that compressive strength was reduced in the area nearest the direct impact.
dc.language en
dc.publisher Wiley
dc.relation.ispartofseries Engineering Reports
dc.rights Items in ResearchSpace are protected by copyright, with all rights reserved, unless otherwise indicated. Previously published items are made available in accordance with the copyright policy of the publisher.
dc.rights.uri https://researchspace.auckland.ac.nz/docs/uoa-docs/rights.htm
dc.rights.uri https://creativecommons.org/licenses/by-nc/4.0/
dc.subject Injury - Trauma - (Head and Spine)
dc.subject Injury (total) Accidents/Adverse Effects
dc.subject Neurosciences
dc.subject Injury - Traumatic brain injury
dc.subject Brain Disorders
dc.subject Neurological
dc.subject Injuries and accidents
dc.subject Science & Technology
dc.subject Technology
dc.subject Computer Science, Interdisciplinary Applications
dc.subject Engineering, Multidisciplinary
dc.subject Materials Science, Multidisciplinary
dc.subject Computer Science
dc.subject Engineering
dc.subject Materials Science
dc.subject animal study
dc.subject brain material properties
dc.subject traumatic brain injury
dc.subject MECHANICAL-PROPERTIES
dc.subject TISSUE
dc.subject BEHAVIOR
dc.title Analyzing the changes in the brain material properties after a mild traumatic brain injury—A pilot study
dc.type Journal Article
dc.identifier.doi 10.1002/eng2.12332
pubs.issue 5
pubs.volume 3
dc.date.updated 2022-05-24T21:34:31Z
dc.rights.holder Copyright: The author en
pubs.author-url http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000656597300003&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=6e41486220adb198d0efde5a3b153e7d
pubs.publication-status Published
dc.rights.accessrights http://purl.org/eprint/accessRights/OpenAccess en
pubs.subtype Article
pubs.subtype Journal
pubs.elements-id 829690
pubs.org-id Bioengineering Institute
pubs.org-id Medical and Health Sciences
pubs.org-id Medical Sciences
pubs.org-id Anatomy and Medical Imaging
pubs.org-id Physiology Division
pubs.org-id ABI Associates
dc.identifier.eissn 2577-8196
pubs.number ARTN e12332
pubs.record-created-at-source-date 2022-05-25
pubs.online-publication-date 2020-11-15


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