ArticleAnnals of biomedical engineering2017
Performance Evaluation of a Pre-computed Brain Response Atlas in Dummy Head Impacts.
Article in Annals of biomedical engineering, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- Peaks and Distributions of White Matter Tract-related Strains in Bicycle Helmeted Impacts: Implication for Helmet Ranking and Optimization.Annals of biomedical engineering · 2025Article
- The Impact of Drop Test Conditions on Brain Strain Location and Severity: A Novel Approach Using a Deep Learning Model.Annals of biomedical engineering · 2024Article
- Use of Brain Biomechanical Models for Monitoring Impact Exposure in Contact Sports.Annals of biomedical engineering · 2022Review
- Real-time dynamic simulation for highly accurate spatiotemporal brain deformation from impact.Computer methods in applied mechanics and engineering · 2022Article
- Instantaneous Whole-Brain Strain Estimation in Dynamic Head Impact.Journal of neurotrauma · 2021Article
- Ranking and Rating Bicycle Helmet Safety Performance in Oblique Impacts Using Eight Different Brain Injury Models.Annals of biomedical engineering · 2021Article
- Low-Rank Representation of Head Impact Kinematics: A Data-Driven Emulator.Frontiers in bioengineering and biotechnology · 2020Article
- Convolutional neural network for efficient estimation of regional brain strains.Scientific reports · 2019Article
- Mesh Convergence Behavior and the Effect of Element Integration of a Human Head Injury Model.Annals of biomedical engineering · 2019Article
- Material properties of the brain in injury-relevant conditions - Experiments and computational modeling.Journal of the mechanical behavior of biomedical materials · 2018Article
- Propagation of errors from skull kinematic measurements to finite element tissue responses.Biomechanics and modeling in mechanobiology · 2018Article
- Concussion classification via deep learning using whole-brain white matter fiber strains.PloS one · 2018Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
A pre-computed brain response atlas (pcBRA) may have the potential to accelerate the investigation of the biomechanical mechanisms of traumatic brain injury on a large-scale. In this study, we further enhance the technique and evaluate its performance using six degree-of-freedom angular velocity profiles from dummy head impacts. Using the pcBRA to simplify profiles into acceleration-only shapes, sufficiently accurate strain estimates were obtained for impacts with a major dominating velocity peak. However, they were largely under-estimated when substantial deceleration occurred that reversed the direction of the angular velocity. For these impacts, estimation accuracy was substantially improved with a biphasic profile simplification (average correlation coefficient and linear regression slope of 0.92 ± 0.03 and 0.95 ± 0.07 for biphasic shapes, respectively, vs. 0.80 ± 0.06 and 0.80 ± 0.08 for acceleration-only shapes). Peak maximum principal strain (ɛ
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