ArticleJournal of the Royal Society, Interface2021
The relationship between brain injury criteria and brain strain across different types of head impacts can be different.
Article in Journal of the Royal Society, Interface, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.
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Who cites it
28 citing papers in PubMed, 52 citations in OpenAlex.
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- Translational benchmarking of 3D in vitro models of traumatic brain injury.Trends in biotechnology · 2026Review
- Instrumented Mouthguards in Women's Rugby League: Quantifying the Incidence and Probability of Head Acceleration Events at Group and Individual Levels.Sports medicine (Auckland, N.Z.) · 2026Article
- Biomechanical Profiles of Diagnosed Concussions in Rugby Union: A Case Study Using Instrumented Mouthguards.Sports medicine - open · 2026Article
- Quantifying Morphology-Related Deviations in Brain Strain Using an Automated Mesh Morphing Method.Annals of biomedical engineering · 2026Article
- Quantifying Head Impacts in Elite Muay Thai: A Case Study Using Instrumented Mouthguards.Sports (Basel, Switzerland) · 2026Article
- Head Acceleration Event Magnitude and Incidence Rate in Academy Rugby Union: A Comparison Across Club and International Competition.Sports medicine (Auckland, N.Z.) · 2026Article
- Peak Power: A Severity Measure for Head Acceleration Events Associated with Suspected Concussions.Sports medicine (Auckland, N.Z.) · 2026Article
- Immediate Cervical Muscle Response to Optimal Occlusal Positioning: A Crucial Part of Concussion Risk Management.Journal of clinical medicine · 2025Article
- Helmet-Head Decoupling in Ice Hockey Impacts: An In-lab Exploratory Study Using Autoregressive Modeling of Acceleration Data Measured from a Helmet-Mounted Inertial Measurement Unit (IMU).Annals of biomedical engineering · 2025Article
- Instrumented Mouthguards in Men's Rugby League: Quantifying the Incidence and Probability of Head Acceleration Events at a Group and Individual Level.Sports medicine (Auckland, N.Z.) · 2025Article
- Laboratory Evaluation of a Wearable Instrumented Headband for Rotational Head Kinematics Measurement.Annals of biomedical engineering · 2025Article
- Experimental Assessment of Traction Force and Associated Fetal Brain Deformation in Vacuum-Assisted Delivery.Annals of biomedical engineering · 2025Article
- Full-field, frequency-domain comparison of simulated and measured human brain deformation.Biomechanics and modeling in mechanobiology · 2025Article
- Quantitative video analysis of head acceleration events: a review.Frontiers in bioengineering and biotechnology · 2025Review
- A biomechanical study of neck strength and impact dynamics on head and neck injury parameters.Frontiers in bioengineering and biotechnology · 2025Article
- Padded Helmet Shell Covers in American Football: A Comprehensive Laboratory Evaluation with Preliminary On-Field Findings.Annals of biomedical engineering · 2024Article
- Efficient Generation of Pretraining Samples for Developing a Deep Learning Brain Injury Model via Transfer Learning.Annals of biomedical engineering · 2024Article
- Potential of Soft-Shelled Rugby Headgear to Lower Regional Brain Strain Metrics During Standard Drop Tests.Sports medicine - open · 2024Article
Corrections and comments
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Authors and funding
13 authors at 3 institutions in 2 countries.
Funding
Abstract
Multiple brain injury criteria (BIC) are developed to quickly quantify brain injury risks after head impacts. These BIC originated from different head impact types (e.g. sports and car crashes) are widely used in risk evaluation. However, the accuracy of using the BIC on brain injury risk estimation across head impact types has not been evaluated. Physiologically, brain strain is often considered the key parameter of brain injury. To evaluate the BIC's risk estimation accuracy across five datasets comprising different head impact types, linear regression was used to model 95% maximum principal strain, 95% maximum principal strain at the corpus callosum and cumulative strain damage (15%) on 18 BIC. The results show significantly different relationships between BIC and brain strain across datasets, indicating the same BIC value may suggest different brain strain across head impact types. The accuracy of brain strain regression is generally decreasing if the BIC regression models are fitted on a dataset with a different type of head impact rather than on the dataset with the same type. Given this finding, this study raises concerns for applying BIC to estimate the brain injury risks for head impacts different from the head impacts on which the BIC was developed.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.