Investigation of Anteroposterior Head-Neck Responses during Severe Frontal Impacts Using a Brain-Spinal Cord Complex FE Model

Kimpara, Hideyuki; Nakahira, Yuko; Iwamoto, Masami; Miki, Kazuo; Ichihara, Kazuhiko; Kawano, Shunichi; Taguchi, Toshihiko

doi:10.4271/2006-22-0019

Cited by 79 publications

(81 citation statements)

References 55 publications

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“…The Normalized Integral Square Error (NISE), 3 which was a method for quantitative evaluation to compare time history curves of pressures and displacements predicted by the model with those obtained from test data, evaluated brain responses predicted by THUMS brain FE model as excellent or good grades in 93% of assessed variables. A detailed description of THUMS head-brain model and its validation can be found in Kimpara et al 10 This human brain FE model was used to obtain FE-based brain injury predictors in this study.…”

Section: Fe-based Brain Injury Predictorsmentioning

confidence: 99%

Mild Traumatic Brain Injury Predictors Based on Angular Accelerations During Impacts

Kimpara¹,

Iwamoto²

2011

Ann Biomed Eng

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183

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Although Head Injury Criterion (HIC) is an effective criterion for head injuries caused by linear acceleration such as skull fractures, no criteria for head injuries caused by rotational kinematics has been accepted as effective so far. This study proposed two criteria based on angular accelerations for Traumatic Brain Injury (TBI), which we call Rotational Injury Criterion (RIC) and Power Rotational Head Injury Criterion (PRHIC). Concussive and non-concussive head acceleration data obtained from football head impacts were utilized to develop new injury criteria. A well-validated human brain Finite Element (FE) model was employed to find out effective injury criteria for TBI. Correlation analyses were performed between the proposed criteria and FE-based brain injury predictors such as Cumulative Strain Damage Measure (CSDM), which is defined as the percent volume of the brain that exceeds a specified first principal strain threshold, proposed to predict Diffuse Axonal Injury (DAI) which is one of TBI. The RIC was significantly correlated with the CSDMs with the strain thresholds of less than 15% (R > 0.89), which might predict mild TBI. In addition, PRHIC was also strongly correlated with the CSDMs with the strain thresholds equal to or greater than 20% (R > 0.90), which might predict more severe TBI.

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Section: Fe-based Brain Injury Predictorsmentioning

confidence: 99%

Mild Traumatic Brain Injury Predictors Based on Angular Accelerations During Impacts

Kimpara¹,

Iwamoto²

2011

Ann Biomed Eng

Self Cite

183

132

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“…Brain regions were assigned region-specific Prony series linear viscoelastic material properties (Elkin et al 2010; Morrison 2013) summarized in Table 1. A pia mater membrane model surrounding the surface of the brain and the brainstem was built and isotropic elastic material properties with a Young's modulus of 30 MPa were assigned (Kimpara et al 2006). A simplified model of the pia-arachnoid-complex and the cerebrospinal fluid (CSF) was built; the dura mater and the arachnoid mater were not modeled, and the space between the pia mater (brain surface) and the inner rigid skull bone was filled with tetrahedral solid elements simulating the CSF.…”

Section: Development Of the Young Adult Rat Brain Fe Modelmentioning

confidence: 99%

Effect of Aging on Brain Injury Prediction in Rotational Head Trauma—A Parameter Study with a Rat Finite Element Model

Antona‐Makoshi

Eliasson

Davidsson

et al. 2015

Traffic Injury Prevention

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“…The proposed model can be used to simulate the biomechanical behaviour of the entire central nervous system at the same time. For the authors, the brain-spinal cord model was useful to investigate the relationship between the restraint conditions and the central nervous system injuries [33].…”

Section: Finite-element Modelsmentioning

confidence: 99%

Finite-element models of the human head and their applications in forensic practice

et al. 2008

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Since the 1960s, predictive human head impact indices have been developed to help the investigation of causation of human head injury. Finite-element models (FEM) can provide interesting tools for the forensic scientists when various human head injury mechanisms need to be evaluated. Human head FEMs are mainly used for car crash evaluations and are not in common use in forensic science. Recent technological progress has resulted in creating more simple tools, which will certainly help to consider the use of FEM in routine forensic practice in the coming years. This paper reviews the main FEMs developed and focuses on the models which can be used as predictive tools. Their possible applications in forensic medicine are discussed.

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Investigation of Anteroposterior Head-Neck Responses during Severe Frontal Impacts Using a Brain-Spinal Cord Complex FE Model

Cited by 79 publications

References 55 publications

Mild Traumatic Brain Injury Predictors Based on Angular Accelerations During Impacts

Mild Traumatic Brain Injury Predictors Based on Angular Accelerations During Impacts

Effect of Aging on Brain Injury Prediction in Rotational Head Trauma—A Parameter Study with a Rat Finite Element Model

Finite-element models of the human head and their applications in forensic practice

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