Computational Modelling and Biomechanical Analysis of Age-Related Craniocerebral Injuries: Insights into Bridging Veins
The aim of this study is to explain the higher incidence of subdural haematomas in elderly people compared to young adult. This research addresses the phenomenon by developing two distinct numerical models of the human head, simulating individuals people aged 77 and 28, respectively. These models ar...
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MDPI AG
2024-03-01
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author | Monika Ratajczak Mariusz Ptak Mateusz Dymek Rafał Kubacki Ricardo J. Alves de Sousa Claudia Sbriglio Artur Kwiatkowski |
author_facet | Monika Ratajczak Mariusz Ptak Mateusz Dymek Rafał Kubacki Ricardo J. Alves de Sousa Claudia Sbriglio Artur Kwiatkowski |
author_sort | Monika Ratajczak |
collection | DOAJ |
description | The aim of this study is to explain the higher incidence of subdural haematomas in elderly people compared to young adult. This research addresses the phenomenon by developing two distinct numerical models of the human head, simulating individuals people aged 77 and 28, respectively. These models are methodically constructed based on medical imaging data acquired through collaboration with hospitals and subsequently verified through empirical experimentation. Studies have shown that the main factor that influences the vulnerability to bridging vein rupture in older adults is the degenerative processes of nervous tissue. The most visible structural damage was observed in the outflow cuff segment. This phenomenon can be primarily attributed to specific geometric parameters associated with this anatomical region. The presented research emphasises the importance of computational models in understanding the pathomechanics of brain structures. As a result of the analyses, it was proven that the neurodegenerative processes of the brain that occur with age are crucial in understanding the higher incidence of subdural haematomas in elderly people. |
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language | English |
last_indexed | 2024-04-24T10:49:37Z |
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spelling | doaj.art-1fd1674b81fe43cc87445e7837f4e2a92024-04-12T13:14:31ZengMDPI AGApplied Sciences2076-34172024-03-01147268110.3390/app14072681Computational Modelling and Biomechanical Analysis of Age-Related Craniocerebral Injuries: Insights into Bridging VeinsMonika Ratajczak0Mariusz Ptak1Mateusz Dymek2Rafał Kubacki3Ricardo J. Alves de Sousa4Claudia Sbriglio5Artur Kwiatkowski6Department of Biomedical Engineering, Institute of Material and Biomedical Engineering, Faculty of Mechanical Engineering, University of Zielona Gora, Prof. Szafrana 4, 65-516 Zielona Gora, PolandFaculty of Mechanical Engineering, Wroclaw University of Science and Technology, Lukasiewicza 7/9, 50-371 Wroclaw, PolandFaculty of Mechanical Engineering, Wroclaw University of Science and Technology, Lukasiewicza 7/9, 50-371 Wroclaw, PolandFaculty of Sport Sciences, University School of Physical Education in Wrocław, Ignacego Jana Paderewskiego 35, 51-612 Wrocław, PolandTEMA—Centre for Mechanical Technology and Automation, Department of Mechanical Engineering, University of Aveiro, Campus de Santiago, 3810-193 Aveiro, PortugalFaculty of Mechanical Engineering, Wroclaw University of Science and Technology, Lukasiewicza 7/9, 50-371 Wroclaw, PolandDepartment of Neurosurgery, Provincial Specialist Hospital in Legnica, Iwaszkiewicza 5, 59-220 Legnica, PolandThe aim of this study is to explain the higher incidence of subdural haematomas in elderly people compared to young adult. This research addresses the phenomenon by developing two distinct numerical models of the human head, simulating individuals people aged 77 and 28, respectively. These models are methodically constructed based on medical imaging data acquired through collaboration with hospitals and subsequently verified through empirical experimentation. Studies have shown that the main factor that influences the vulnerability to bridging vein rupture in older adults is the degenerative processes of nervous tissue. The most visible structural damage was observed in the outflow cuff segment. This phenomenon can be primarily attributed to specific geometric parameters associated with this anatomical region. The presented research emphasises the importance of computational models in understanding the pathomechanics of brain structures. As a result of the analyses, it was proven that the neurodegenerative processes of the brain that occur with age are crucial in understanding the higher incidence of subdural haematomas in elderly people.https://www.mdpi.com/2076-3417/14/7/2681subdural haematomasbridging veinsnumerical models of human headfinite element analysistraumatic brain injurysport |
spellingShingle | Monika Ratajczak Mariusz Ptak Mateusz Dymek Rafał Kubacki Ricardo J. Alves de Sousa Claudia Sbriglio Artur Kwiatkowski Computational Modelling and Biomechanical Analysis of Age-Related Craniocerebral Injuries: Insights into Bridging Veins Applied Sciences subdural haematomas bridging veins numerical models of human head finite element analysis traumatic brain injury sport |
title | Computational Modelling and Biomechanical Analysis of Age-Related Craniocerebral Injuries: Insights into Bridging Veins |
title_full | Computational Modelling and Biomechanical Analysis of Age-Related Craniocerebral Injuries: Insights into Bridging Veins |
title_fullStr | Computational Modelling and Biomechanical Analysis of Age-Related Craniocerebral Injuries: Insights into Bridging Veins |
title_full_unstemmed | Computational Modelling and Biomechanical Analysis of Age-Related Craniocerebral Injuries: Insights into Bridging Veins |
title_short | Computational Modelling and Biomechanical Analysis of Age-Related Craniocerebral Injuries: Insights into Bridging Veins |
title_sort | computational modelling and biomechanical analysis of age related craniocerebral injuries insights into bridging veins |
topic | subdural haematomas bridging veins numerical models of human head finite element analysis traumatic brain injury sport |
url | https://www.mdpi.com/2076-3417/14/7/2681 |
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