Investigation on Generational Difference of Intracranial Responses Related to Traumatic Brain Injuries Using Age-Specific Human Head/Brain FE Models

Yanaoka, Toshiyuki; Dokko, Yasuhiro

doi:10.4271/2014-01-0485

Cited by 3 publications

(5 citation statements)

References 11 publications

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“…Nevertheless, it should be remembered that although other authors used different modelling approaches, similar research conclusions were obtained by Yanaoka, Abdi, and Zhou et al [47][48][49]. In the case of the presented model, it is also worth noting that the brain was not scaled, but the original geometry was recreated.…”

Section: Discussion and Limitationssupporting

confidence: 56%

Computational Modelling and Biomechanical Analysis of Age-Related Craniocerebral Injuries: Insights into Bridging Veins

Ratajczak,

Ptak,

Dymek

et al. 2024

Applied Sciences

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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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Section: Discussion and Limitationssupporting

confidence: 56%

Computational Modelling and Biomechanical Analysis of Age-Related Craniocerebral Injuries: Insights into Bridging Veins

Ratajczak,

Ptak,

Dymek

et al. 2024

Applied Sciences

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“…Comparatively, Yanoka and Dokko 12,13 used BV elongation predicted by models with varying subarachnoid spaces to assess the ASDH risk. Due to the omission of the initial BV lengths before and after the brain shrinkage, solely checking the BV elongation cannot guarantee the resultant BV strain.…”

Section: Journal Of Neurotraumamentioning

confidence: 99%

“…Two subsequent studies by Yanoka and Dokko 12,13 shrunk the geometric features of the Global Human Body Models Consortium (GHBMC) brain model developed by Mao and coworkers 14 to represent the elderly. Elongation of bridging veins (BVs) was chosen as the predictor for ASDH in both studies, showing that decreased brain volume resulted in larger maximum elongation of BVs in occipital and temporal impacts.…”

Section: Introductionmentioning

confidence: 99%

“…[17][18][19] Among the aforementioned FE models, the brain-skull interaction modeling approaches vary from representing the CSF as an incompressible material with low shear modulus 15 to more complex contact algorithms including sliding-only contact 11 and tied contact. 12,13 Of all these approaches, the fluid properties of the CSF and the potential of impacted-induced CSF flow within the subarachnoid space are ignored since CSF is consistently modelled as 5…”

Section: Introductionmentioning

confidence: 99%

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Biomechanics of Acute Subdural Hematoma in the Elderly: A Fluid-Structure Interaction Study

Zhou

Kleiven

2019

Journal of Neurotrauma

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Acute subdural hematoma (ASDH) due to bridging vein (BV) rupture is a frequent and lethal head injury, especially in the elderly. Brain atrophy has been hypothesized to be a primary pathogenesis associated with the increased risk of ASDH in the elderly. Though decades of biomechanical endeavours have been made to elucidate the potential mechanisms, a thorough explanation for this hypothesis appears lacking. Thus, a recently improved finite element head model, in which the brain-skull interface was modelled using a fluid-structure interaction (FSI) approach with special treatment of the cerebrospinal fluid as arbitrary Lagrangian-Eulerian fluid formulation, is used to partially address this understanding gap. Models with various degrees of atrophied brains and thereby different subarachnoid thicknesses are generated and subsequently exposed to experimentally determined loadings known to cause ASDH or not. The results show significant increases in the cortical relative motion and BV strain in the atrophied brain, which consequently exacerbates the ASDH risk in the elderly. Results of this study are suggested to be considered while developing age-adapted protecting strategies for the elderly in the future.

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“…However, it is not clear if the results are applicable to older people. One study investigated the head injury mechanism using age-specific human head/brain FE models, and compared the difference between models representing humans in their 20s and 70s (Yanaoka and Dokko, 2014). The age-specific characteristics in their models included the shape, size, and stiffness of the brain matter and blood vessels.…”

Section: Discussionmentioning

confidence: 99%

Finite element analysis of the effectiveness of bicycle helmets in head impacts against roads

Oikawa

Nakadate

Zhang

et al. 2017

JBSE

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Severe head injuries can occur in cyclists involved in traffic accidents. In Japan, head injuries accounted for 62% of cyclist fatalities in 2015 (ITARDA, 2016). The purpose of this study is to estimate head injuries for cyclists and quantify the effectiveness of a bicycle helmet by performing finite element (FE) simulations of head impacts against roads. Impacts with and without a helmet over a range of relative head velocities and head impact angles were simulated. A number of possible head injuries were assessed; skull fracture by skull strain, traumatic intracerebral hematoma (ICH) by brain pressure, brain contusion by brain negative-pressure and von Mises stress, and moderate and severe diffuse axonal injuries (DAIs) by von Mises stress. Results showed that without a helmet, the peak values of all metrics exceeded the 50% probability point for head injury in all impacts. The 50% probability points of moderate and severe DAIs were exceeded under impacts of 8.22 m/s at 26.5 degrees and 10.33 m/s at 15.0 degrees for moderate DAI, and 10.33 m/s at 15.0 degrees for severe DAI, without a helmet. All the peak values were reduced when a bicycle helmet was worn, and the largest reduction was found in the skull strain. These results predict that the risks of head injuries due to road impacts may be considerably decreased by helmet use.

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Investigation on Generational Difference of Intracranial Responses Related to Traumatic Brain Injuries Using Age-Specific Human Head/Brain FE Models

Cited by 3 publications

References 11 publications

Computational Modelling and Biomechanical Analysis of Age-Related Craniocerebral Injuries: Insights into Bridging Veins

Computational Modelling and Biomechanical Analysis of Age-Related Craniocerebral Injuries: Insights into Bridging Veins

Biomechanics of Acute Subdural Hematoma in the Elderly: A Fluid-Structure Interaction Study

Finite element analysis of the effectiveness of bicycle helmets in head impacts against roads

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