Article
Computer Science, Interdisciplinary Applications
Gustavo P. Carmo, Mateusz Dymek, Mariusz Ptak, Ricardo J. Alves-de-Sousa, Fabio A. O. Fernandes
Summary: Traumatic brain injuries are a major cause of death and disability worldwide. Finite element head models have been developed to understand the forces and interactions in the human head, offering a cost-effective and ethical alternative to experimental tests. The female finite element head model (FeFEHM) can provide insights into injury mechanisms and neurodegenerative diseases.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
(2023)
Article
Biotechnology & Applied Microbiology
Ding Lyu, Runzhou Zhou, Chin-hsu Lin, Priya Prasad, Liying Zhang
Summary: This paper reports on the latest refinement of the Finite Element Global Human Body Models Consortium 50th percentile (GHBMC M50) adult male head model by the development and incorporation of a new material model into the white matter tissue of the brain. The white matter is represented by an anisotropic visco-hyperelastic material model capable of simulating direction-dependent response of the brain tissue to further improve the bio-fidelity and injury predictive capability of the model.
FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY
(2022)
Article
Engineering, Biomedical
Dhananjay Radhakrishnan Subramaniam, Ginu Unnikrishnan, Aravind Sundaramurthy, Jose E. Rubio, Vivek Bhaskar Kote, Jaques Reifman
Summary: Including a detailed representation of the cerebral vasculature in finite element models of the human head is crucial for accurately estimating biomechanical responses of the brain to blunt impact, and can help identify factors related to blunt-induced brain injury.
BIOMEDICAL ENGINEERING ONLINE
(2021)
Article
Biotechnology & Applied Microbiology
Dhananjay Radhakrishnan Subramaniam, Ginu Unnikrishnan, Aravind Sundaramurthy, Jose E. Rubio, Vivek Bhaskar Kote, Jaques Reifman
Summary: Studies on the biomechanical responses of the human brain to blast waves have highlighted the importance of including detailed information such as brain-surface convolutions, major cerebral veins, and non-linear brain-tissue properties for improving model accuracy. Inclusion of a more detailed network of cerebral veins and arteries can enhance model-predicted biomechanical responses and help identify correlates of blast-induced brain injury. The detailed cerebral vasculature model redistributed brain-tissue strains and highlighted the importance of including a detailed cerebral vessel network in human-head FE models to more comprehensively account for the biomechanical responses induced by blast exposure.
FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY
(2021)
Article
Engineering, Biomedical
Kianoosh Ghazi, Shaoju Wu, Wei Zhao, Songbai Ji
Summary: In this study, effective impact kinematics were developed to preserve detailed brain injury information with the help of a convolutional neural network. The CNN-estimated effective peak rotational velocity outperformed nominal peak velocity in accurately predicting peak MPS. This approach may improve impact comparison and advance kinematics-based injury metrics.
ANNALS OF BIOMEDICAL ENGINEERING
(2021)
Review
Biology
Gustavo P. Carmo, Jeroen Grigioni, Fabio A. O. Fernandes, Ricardo J. Alves de Sousa
Summary: This article aims to provide readers with a concise description of the main contributions in the field of traumatic brain injuries and neurodegenerative outcomes for women, especially related to chronic traumatic encephalopathy. It also reviews the numerical models created to address these issues and discusses the use (or lack of use) of sex-specific validation experiments. The article highlights the importance of considering sex differences in both direct injuries and the conditions that precede and follow traumatic events.
Article
Biotechnology & Applied Microbiology
Harry Duckworth, Adriana Azor, Nikolaus Wischmann, Karl A. Zimmerman, Ilaria Tanini, David J. Sharp, Mazdak Ghajari
Summary: Finite Element (FE) models have been used to study the brain response to mechanical loads. However, these models often lack the incorporation of vasculature, limiting their predictive ability for vascular response to head impacts. In this study, a high-resolution MRI scan was used to map the venous system and develop an FE model that includes veins. The model was compared to experimental data and showed good correlation. It was also used to predict the distribution of strain and strain rate in the veins of a rugby player with microbleeds. The study provides evidence for a link between vein strain and microbleeds, and suggests the potential of FE models in predicting intracranial vascular injuries after traumatic brain injury (TBI).
FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY
(2022)
Article
Ergonomics
Fang Wang, Junzhi Wu, Lin Hu, Chao Yu, Bingyu Wang, Xiaoqun Huang, Karol Miller, Adam Wittek
Summary: This study analyzed the head protection effectiveness of nine different helmets in two typical cycling accidents. The results showed that helmets can reduce the risk of head injury for cyclists, but they may increase rotational acceleration of the head. The predictions obtained using different injury criteria varied.
JOURNAL OF SAFETY RESEARCH
(2022)
Article
Critical Care Medicine
Kianoosh Ghazi, Shaoju Wu, Wei Zhao, Songbai Ji
Summary: The study successfully uses a convolutional neural network to instantly estimate the distribution of peak maximum principal strain in the entire brain, achieving a high success rate of 97.1%. When tested on an independent dataset, the predicted performance closely matches the directly simulated results and outperforms in predicting concussions. This technique has the potential to accelerate traumatic brain injury research and transform the design and testing standards of head protective gears.
JOURNAL OF NEUROTRAUMA
(2021)
Article
Biophysics
Aayush Kant, Nikhil V. Medhekar, Tanmay K. Bhandakkar
Summary: The research uses a spatial calcium kinetics model to study the changes in calcium ion concentration during traumatic brain injury and finds that the critical location for primary injury may not be the most important location for secondary injury. By considering the brain tissue as a solid continuum, the study investigates the effect of dimensionality and material behavior on the correlation between stress and Ca2+ concentration.
BIOMECHANICS AND MODELING IN MECHANOBIOLOGY
(2021)
Article
Public, Environmental & Occupational Health
Jonas Osth, Katarina Bohman, Lotta Jakobsson
Summary: The aim of this study was to evaluate head injury criteria by assessing their correlation to brain strain in a Finite Element (FE) head model. The study found that the brain surrogate model criteria, DAMAGE and CIBIC, were the most effective in capturing the head model response. BrIC, on the other hand, had lower correlation to the head model response. This study supports the use of DAMAGE and CIBIC as brain injury criteria in vehicle crash test conditions.
TRAFFIC INJURY PREVENTION
(2023)
Article
Biotechnology & Applied Microbiology
Zhou Zhou, Xiaogai Li, August G. Domel, Emily L. Dennis, Marios Georgiadis, Yuzhe Liu, Samuel J. Raymond, Gerald Grant, Svein Kleiven, David Camarillo, Michael Zeineh
Summary: Hippocampal injury is common in traumatic brain injury patients, and this study found that the adjacent fluid-containing temporal horn may exacerbate the vulnerability of the hippocampus. The presence of the temporal horn was associated with increased strain and strain rate in the hippocampus, indicating a mechanobiological dependency of the hippocampus on the temporal horn.
FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY
(2022)
Article
Biotechnology & Applied Microbiology
Xiaogai Li
Summary: The study presents a personalization framework for generating subject-specific models across the lifespan and for pathological brains with significant anatomical changes. The framework includes hierarchical multiple feature and multimodality imaging registrations, mesh morphing, and mesh grouping, shown to be efficient with a heterogeneous dataset. The generated models demonstrate competitive personalization accuracy, allowing for age-dependent and groupwise brain injury mechanisms to be studied.
FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY
(2021)
Article
Neurosciences
Mateusz Dymek, Mariusz Ptak, Monika Ratajczak, Fabio A. O. Fernandes, Artur Kwiatkowski, Johannes Wilhelm
Summary: Brain damage from contact sports like American football is a significant issue, with biomechanical factors playing a major role. While current research focuses on measuring head and helmet kinematics during impacts, more attention is needed on numerical tools to assess helmet standards based on injury mechanisms. This study highlights the need for a deeper understanding of head injury prediction and helmet effectiveness in sports.
Article
Multidisciplinary Sciences
Monika Ratajczak, Mariusz Ptak, Artur Kwiatkowski, Konrad Kubicki, Fabio A. O. Fernandes, Johannes Wilhelm, Mateusz Dymek, Marek Sawicki, Slawomir Zolkiewski
Summary: Research shows that most numerical head models are symmetrical. Through in-depth studies on head symmetry, it was concluded that mapping the entire geometry of the skull and brain is crucial for the results of numerical analysis.
Article
Biophysics
Xiaogai Li, Zhou Zhou, Svein Kleiven
Summary: Finite element head models are important for studying head injuries and protection systems. This study presents two developments: an anatomically detailed FE head model with conforming hexahedral meshes, and a new hierarchical image registration pipeline for generating subject-specific head models. By comparing model predictions with experimental data, the study demonstrates the efficiency and accuracy of the pipeline in generating detailed subject-specific head models.
BIOMECHANICS AND MODELING IN MECHANOBIOLOGY
(2021)
Article
Engineering, Biomedical
Madelen Fahlstedt, Fady Abayazid, Matthew B. Panzer, Antonia Trotta, Wei Zhao, Mazdak Ghajari, Michael D. Gilchrist, Songbai Ji, Svein Kleiven, Xiaogai Li, Aisling Ni Annaidh, Peter Halldin
Summary: The study found that different brain models and metrics can influence the ranking and rating of helmets. It is suggested that the biomechanics community should establish a standard or recommendation for future ranking and rating methods.
ANNALS OF BIOMEDICAL ENGINEERING
(2021)
Article
Critical Care Medicine
Zhou Zhou, August G. Domel, Xiaogai Li, Gerald Grant, Svein Kleiven, David Camarillo, Michael Zeineh
Summary: Traumatic axonal injury (TAI) is a critical public health issue, and finite element (FE) head models show promise in predicting TAI. This study used an embedded element approach to track real-time fiber orientation during impacts, finding that incorporating real-time fiber orientation altered the direction and increased the magnitude of tract-oriented strain, particularly with higher impact severities. Results provide insights into incorporating fiber orientation in head injury models and understanding the mechanisms of TAI.
JOURNAL OF NEUROTRAUMA
(2021)
Article
Biophysics
Madelen Fahlstedt, Shiyang Meng, Svein Kleiven
Summary: This study evaluated the influence of strain output on injury prediction and ranking. The post-processing of strain had a significant impact on injury risk functions, but had little effect on the area under the curve (AUC) value, correlation in ranking, and linear correlation. The study emphasized the importance of using the same post-processed strain for injury predictions as the one used to develop the risk function.
JOURNAL OF BIOMECHANICS
(2022)
Article
Environmental Sciences
V. S. Solbakken, S. Kleiven, M. L. Haarr
Summary: A considerable portion of marine litter pollutes coastlines around the world, and its accumulation on beaches is influenced by processes of deposition and retention that are not well understood. A study in Lofoten, Norway, found that deposition and retention vary over small spatial scales, and while there was no correlation in the timing of deposition events among different sites, there was generally stronger correlation in the timing of retention events. This highlights the importance of customizing cleanup frequency based on the spatiotemporal variation in deposition and retention for effective removal of litter from local marine environments.
MARINE POLLUTION BULLETIN
(2022)
Article
Public, Environmental & Occupational Health
Pooya Sahandifar, Christina Makoundou, Madelen Fahlstedt, Cesare Sangiorgi, Kenth Johansson, Viveca Wallqvist, Svein Kleiven
Summary: This study explores the effects of increasing rubber content on reducing the head injury risk for vulnerable road users. Experimental and modeling results show that increasing rubber content can decrease the risk of head injuries.
TRAFFIC INJURY PREVENTION
(2022)
Article
Biotechnology & Applied Microbiology
Zhou Zhou, Xiaogai Li, August G. Domel, Emily L. Dennis, Marios Georgiadis, Yuzhe Liu, Samuel J. Raymond, Gerald Grant, Svein Kleiven, David Camarillo, Michael Zeineh
Summary: Hippocampal injury is common in traumatic brain injury patients, and this study found that the adjacent fluid-containing temporal horn may exacerbate the vulnerability of the hippocampus. The presence of the temporal horn was associated with increased strain and strain rate in the hippocampus, indicating a mechanobiological dependency of the hippocampus on the temporal horn.
FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY
(2022)
Article
Engineering, Biomedical
Songbai Ji, Mazdak Ghajari, Haojie Mao, Reuben H. Kraft, Marzieh Hajiaghamemar, Matthew B. Panzer, Remy Willinger, Michael D. Gilchrist, Svein Kleiven, Joel D. Stitzel
Summary: Head acceleration measurement sensors are widely used in contact sports to monitor head kinematic exposure. The use of validated brain models and physics-based computational simulations help translate head impact kinematics into brain mechanical responses and study injury mechanisms. This study reviews legacy and contemporary brain biomechanical models, discusses their development and validation, and recommends their use in conjunction with kinematic sensor data for understanding mTBI and subconcussions.
ANNALS OF BIOMEDICAL ENGINEERING
(2022)
Correction
Engineering, Biomedical
Nicholas J. Cecchi, August G. Domel, Yuzhe Liu, Eli Rice, Rong Lu, Xianghao Zhan, Zhou Zhou, Samuel J. Raymond, Sohrab Sami, Heer Singh, India Rangel, Landon P. Watson, Svein Kleiven, Michael Zeineh, David B. Camarillo, Gerald Grant
ANNALS OF BIOMEDICAL ENGINEERING
(2023)
Article
Biotechnology & Applied Microbiology
Svein Kleiven, Pooya Sahandifar
Summary: This study investigates the influence of trunk and pelvis angles on proximal femur forces during sideways falls. The results demonstrate that the highest forces on the femoral head are reached at specific trunk and pelvis angles.
FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY
(2022)
Article
Chemistry, Multidisciplinary
Declan A. Patton, Reza Mohammadi, Peter Halldin, Svein Kleiven, Andrew S. McIntosh
Summary: Recent studies have shown that alpine helmets reduce the risk of focal injuries caused by radial impacts, likely due to current helmet standards that prioritize linear acceleration pass criteria. However, there is a need to evaluate their performance in more realistic snow impacts. This study developed a method to assess alpine helmets' performance for both radial and oblique impacts on snow surfaces, finding that snow sample collection time and the presence of a rotation-damping system significantly affect helmet performance.
APPLIED SCIENCES-BASEL
(2023)
Article
Biotechnology & Applied Microbiology
Xiaogai Li, Qiantailang Yuan, Natalia Lindgren, Qi Huang, Madelen Fahlstedt, Jonas Osth, Bengt Pipkorn, Lotta Jakobsson, Svein Kleiven
Summary: Finite element human body models (HBMs) are crucial for traffic safety, and developing reliable personalized HBMs is a challenging task. This study presents a new image registration-based mesh morphing method to generate personalized HBMs, which show comparable element quality to the baseline models. The method enables the comparison of HBMs and has superior geometry correction capabilities, facilitating personalized simulations.
FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY
(2023)
Article
Computer Science, Interdisciplinary Applications
Colin M. Huber, Declan A. Patton, Jalaj Maheshwari, Zhou Zhou, Svein Kleiven, Kristy B. Arbogast
Summary: Finite element (FE) modeling is used to examine the influence of repetitive head loading in sports on tissue level injury metrics. Controlled soccer headers were simulated in two directions using a human head FE model. The results showed that headers were associated with peak strains and stresses, but these values were below typical injury levels. This study provides quantitative data to understand the effects of repetitive loading on the brain.
COMPUTER METHODS IN BIOMECHANICS AND BIOMEDICAL ENGINEERING
(2023)
Meeting Abstract
Biophysics
Maryam Majdolhosseini, Zhou Zhou, Svein Kleiven, Alessandra Villa
EUROPEAN BIOPHYSICS JOURNAL WITH BIOPHYSICS LETTERS
(2023)
Letter
Clinical Neurology
Svein Kleiven, Xiaogai Li, Anders Eriksson, Niels Lynoe
NEUROTRAUMA REPORTS
(2022)
Article
Biophysics
Nathan D. Camarillo, Rafael Jimenez-Silva, Frances T. Sheehan
Summary: This article discusses the statistical dependence between multiple measurements from the same participant and provides recommendations for using these measurements when they are not independent.
JOURNAL OF BIOMECHANICS
(2024)
Article
Biophysics
J. Huet, A. -S. Boureau, A. Sarcher, C. Cornu, A. Nordez
Summary: Standard compression in freehand 3D ultrasound induces a bias in volume calculations, but minimal compression and gel pad methods have similar results. With a trained examiner and precautions, the bias can be minimized and become acceptable in clinical applications.
JOURNAL OF BIOMECHANICS
(2024)
Article
Biophysics
C. Lariviere, A. H. Eskandari, H. Mecheri, F. Ghezelbash, D. Gagnon, A. Shirazi-Adl
Summary: Recent developments in musculoskeletal modeling have focused on model customization. Personalization of the spine profile may affect estimates of spinal loading and stability. This study investigates the biomechanical consequences of changes in the spinal profile and finds that personalizing the spine profile has medium to large effects on trunk muscle forces and negligible to small effects on spinal loading and stability.
JOURNAL OF BIOMECHANICS
(2024)
Article
Biophysics
Luke T. Mattar, Arash B. Mahboobin, Adam J. Popchak, William J. Anderst, Volker Musahl, James J. Irrgang, Richard E. Debski
Summary: Exercise therapy fails in about 25.0% of cases for individuals with rotator cuff tears, and one reason for this failure may be the inability to strengthen and balance the muscle forces that keep the humeral head in the correct position. This study developed computational musculoskeletal models to compare the net muscle force before and after exercise therapy between successfully and unsuccessfully treated patients. The study found that unsuccessfully treated patients had less inferiorly oriented net muscle forces, which may increase the risk of impingement.
JOURNAL OF BIOMECHANICS
(2024)
Article
Biophysics
Natsuki Sado, Takeshi Edagawa, Toshihide Fujimori, Shogo Hashimoto, Yoshikazu Okamoto, Takahito Nakajima
Summary: The existing methods for predicting hip and lumbosacral joint centres in Japanese adults are biased and differ between sexes. We propose new regression equations that consider soft-tissue thickness, sex differences, and a height-directional measure, and validate them using leave-one-out cross-validation.
JOURNAL OF BIOMECHANICS
(2024)
Article
Biophysics
Peimin Yu, Xuanzhen Cen, Qichang Mei, Alan Wang, Yaodong Gu, Justin Fernandez
Summary: This study aimed to explore the intra-foot biomechanical differences among individuals with chronic ankle instability (CAI), copers, and healthy individuals during dynamic tasks. The study found that copers and CAI individuals had smaller dorsiflexion angles and copers presented a more eversion position compared to healthy participants. Copers also had greater dorsiflexion angles in the metatarsophalangeal joint and more inversion moments in the subtalar joint during certain tasks. These findings can help in designing interventions to restore ankle joint functions in CAI individuals.
JOURNAL OF BIOMECHANICS
(2024)
Article
Biophysics
Jon Skovgaard Jensen, Anders Holsgaard-Larsen, Anders Stengaard Sorensen, Per Aagaard, Jens Bojsen-Moller
Summary: This study investigates the biomechanical effects of robot-assisted body weight unloading (BWU) on gait patterns in healthy young adults. The results show that dynamic robot-assisted BWU enables reduced kinetic requirements without distorting biomechanically normal gait patterns during overground walking.
JOURNAL OF BIOMECHANICS
(2024)
