A New Model Comparing Impact Responses of the Homogeneous and Inhomogeneous Human Brain

Zhou, Chenglong; Khalil, Tawfik B.; King, Albert I.

doi:10.4271/952714

Cited by 149 publications

(94 citation statements)

References 10 publications

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“…22,23 The UCDBTM was validated against cadaveric pressure responses conducted by Nahum et al 42 and brain motion research conducted by Hardy et al 19 Further validations were conducted by Doorly and Gilchrist 10 and Post et al 60 using reconstructions of real world traumatic brain injury incidents with results that were in agreement with anatomical tissue thresholds. The material characteristics of the model were taken from Ruan, 71 Willinger et al, 83 Zhou et al, 89 and Kleiven and von Holst 34 (Tables 1 and 2). The material behaviour of the brain tissue was modeled as viscoelastic in shear with a deviatoric stress rate dependent on the shear relaxation modulus.…”

Section: Finite Element Modelmentioning

confidence: 99%

Protective Capacity of Ice Hockey Helmets against Different Impact Events

et al. 2016

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Publication AbstractIn ice hockey, concussions can occur as a result of many different types of impact events, however hockey helmets are certified using a single injury scenario, involving drop tests to a rigid surface. The purpose of this study is to measure the protective capacity of ice hockey helmets for different impact events in ice hockey. A helmeted and unhelmeted Hybrid III headform were impacted simulating falls, elbow, shoulder and puck impacts in ice hockey.Linear and rotational acceleration and maximum principal strain (MPS) were measured. A comparison of helmeted and unhelmeted impacts found significant differences existed in most conditions (p<0.05), however some shoulder and puck impacts showed no significant difference (p>0.05). Impacts to the ice hockey helmet tested resulted in acceleration levels below reported ranges of concussion and TBI for falls up to 5 m/s, elbow collisions, and low velocity puck impacts but not for shoulder collisions or high velocity puck impacts and falls. The helmet tested reduced MPS below reported ranges of concussion and TBI for falls up to 5 m/s but not for the other impact events across all velocities and locations. This suggests that the ice hockey helmet tested is unable to reduce engineering parameters below reported ranges of concussion and TBI for impact conditions which do not represent a drop against a rigid surface.

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Section: Finite Element Modelmentioning

confidence: 99%

Protective Capacity of Ice Hockey Helmets against Different Impact Events

et al. 2016

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“…10,12,27 Investigators researching SDH using finite element modeling have found that anterior-posterior motion can cause higher strain on the brain tissues and vasculature than lateral motions; 34 however, the study used a tied interface between the skull and brain and was limited, as SDH is thought to result from relative brain skull motion. 16 In 2003, Kleiven 16 used a finite element modeling approach to investigate the directional sensitivity of SDH.…”

mentioning

confidence: 99%

“…While lateral tests were conducted, Kleiven 16 found that the relative brain-skull motion and strains were lower for corresponding rotational impulses and even lower for translational motion. Using a finite element model of the human brain, Zhou et al 34 found that anterior-posterior motions potentially cause higher strains in regions associated with SDH than lateral direction motions. Doorly and Gilchrist, 6 Doorly, 4 Willinger and Baumgartner, 32 and Post et al 26 have also examined the incidence of SDH using injury reconstruction and found that large-magnitude brain deformations were required to create this type of injury.…”

mentioning

confidence: 99%

The influence of dynamic response and brain deformation metrics on the occurrence of subdural hematoma in different regions of the brain

Post

Hoshizaki

Gilchrist

et al. 2014

JNS

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Object The purpose of this study was to examine how the dynamic response and brain deformation of the head and brain—representing a series of injury reconstructions of which subdural hematoma (SDH) was the outcome—influence the location of the lesion in the lobes of the brain. Methods Sixteen cases of falls in which SDH was the outcome were reconstructed using a monorail drop rig and Hybrid III headform. The location of the SDH in 1 of the 4 lobes of the brain (frontal, parietal, temporal, and occipital) was confirmed by CT/MR scan examined by a neurosurgeon. Results The results indicated that there were minimal differences between locations of the SDH for linear acceleration. The peak resultant rotational acceleration and x-axis component were larger for the parietal lobe than for other lobes. There were also some differences between the parietal lobe and the other lobes in the z-axis component. Maximum principal strain, von Mises stress, shear strain, and product of strain and strain rate all had differences in magnitude depending on the lobe in which SDH was present. The parietal lobe consistently had the largest-magnitude response, followed by the frontal lobe and the occipital lobe. Conclusions The results indicated that there are differences in magnitude for rotational acceleration and brain deformation metrics that may identify the location of SDH in the brain.

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“…The UCDBTM had material characteristics that were determined from anatomical testing on cadavers and tissue samples [32][33][34][35][36] (Tables 1, 2). The modeling of the response of the brain tissue was conducted by using a linearly viscoelastic model combined with a large deformation theory.…”

Section: University College Brain Trauma Modelmentioning

confidence: 99%

The effect of acceleration signal processing for head impact numeric simulations

et al. 2016

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Brain injury research in sport employs a variety of physical models equipped with accelerometers. These acceleration signals are commonly processed using filters. The purpose of this research was to determine the effect of applying filters with different cutoff frequencies to the acceleration signals used as input for finite element modelling of the brain. Signals were generated from reconstructions of concussion events from American football and ice hockey in the laboratory using a Hybrid III headform. The resulting acceleration signals were used as input for the University College Dublin Brain Trauma Model after being processed with filters. The results indicated that using a filter with a cutoff of 300 Hz or higher had little effect on the resulting strain measures. In some cases there was some effect of the filters on the peak linear (8-30g) and rotational measures (1000-4000 rad/s2), but little effect on the finite element strain result (approximately 2-6 %). The short duration and high magnitude accelerations, such as the puck impact, were most affected by the cutoff frequency of different filters.

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A New Model Comparing Impact Responses of the Homogeneous and Inhomogeneous Human Brain

Cited by 149 publications

References 10 publications

Protective Capacity of Ice Hockey Helmets against Different Impact Events

Protective Capacity of Ice Hockey Helmets against Different Impact Events

The influence of dynamic response and brain deformation metrics on the occurrence of subdural hematoma in different regions of the brain

The effect of acceleration signal processing for head impact numeric simulations

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