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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Main Authors: Monika Ratajczak, Mariusz Ptak, Mateusz Dymek, Rafał Kubacki, Ricardo J. Alves de Sousa, Claudia Sbriglio, Artur Kwiatkowski
Format: Article
Language:English
Published: MDPI AG 2024-03-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/14/7/2681
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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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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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