ReviewAnnals of biomedical engineering2021
MR Imaging of Human Brain Mechanics In Vivo: New Measurements to Facilitate the Development of Computational Models of Brain Injury.
Review in Annals of biomedical engineering, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.
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Who cites it
36 citing papers in PubMed.
- Multiecho Fat-Water Spiral MR Elastography With Distributed Encoding for Simultaneously Imaging Brain and Skull Displacement.Magnetic resonance in medicine · 2026Article
- Article
- DSHARP: Deep Incompressible Motion Estimation With Sinusoidal-Transformed Harmonic Phase for Tagged MRI.IEEE transactions on medical imaging · 2026Article
- Mechanisms of inflammatory response in secondary brain injury: a review of computational approaches, challenges, and future directions.Biomechanics and modeling in mechanobiology · 2026Review
- A novel spatiotemporal decomposition and identification of sparse equations for human brain deformation.Scientific reports · 2026Article
- Multimodal characterization of intracranial biomechanics in a 3D biofidelic head surrogate.Journal of the mechanical behavior of biomedical materials · 2026Article
- Brightness-Invariant Tracking Estimation in Tagged MRI.Information processing in medical imaging : proceedings of the ... conference · 2026Article
- Noninvasive mapping of shear strain predicts the anatomical distribution of mild traumatic brain injury.NeuroImage. Clinical · 2026Article
- Average Responses of Brain Displacement Under Rotational Loading for Computational Model Validation.IEEE transactions on bio-medical engineering · 2025Article
- An MRI-derived head-neck finite element model.Biomechanics and modeling in mechanobiology · 2025Article
- Brain age prediction and early neurodegeneration detection using contrastive learning on brain biomechanics: a retrospective, multicentre study.EBioMedicine · 2025Article
- Detection of transient tissue displacement using wavelet MR elastography: Phantom validation and in vivo human brain repeatability study.Magnetic resonance in medicine · 2025Article
- Mechanical characterization of brain tissue: experimental techniques, human testing considerations, and perspectives.Acta biomaterialia · 2025Review
- Mechanobiology of the blood-brain barrier during development, disease and ageing.Nature communications · 2025Review
- Average Biomechanical Responses of the Human Brain Grouped by Age and Sex.Annals of biomedical engineering · 2025Article
- Article
- Effects of anatomy and head motion on spatial patterns of deformation in the human brain.Annals of biomedical engineering · 2025Article
- Full-field, frequency-domain comparison of simulated and measured human brain deformation.Biomechanics and modeling in mechanobiology · 2025Article
- MRI-based whole-brain elastography and volumetric measurements to predict brain age.Biology methods & protocols · 2025Article
- Efficient Generation of Pretraining Samples for Developing a Deep Learning Brain Injury Model via Transfer Learning.Annals of biomedical engineering · 2024Article
Corrections and comments
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Authors and funding
11 authors.
Funding
Abstract
Computational models of the brain and its biomechanical response to skull accelerations are important tools for understanding and predicting traumatic brain injuries (TBIs). However, most models have been developed using experimental data collected on animal models and cadaveric specimens, both of which differ from the living human brain. Here we describe efforts to noninvasively measure the biomechanical response of the human brain with MRI-at non-injurious strain levels-and generate data that can be used to develop, calibrate, and evaluate computational brain biomechanics models. Specifically, this paper reports on a project supported by the National Institute of Neurological Disorders and Stroke to comprehensively image brain anatomy and geometry, mechanical properties, and brain deformations that arise from impulsive and harmonic skull loadings. The outcome of this work will be a publicly available dataset ( http://www.nitrc.org/projects/bbir ) that includes measurements on both males and females across an age range from adolescence to older adulthood. This article describes the rationale and approach for this study, the data available, and how these data may be used to develop new computational models and augment existing approaches; it will serve as a reference to researchers interested in using these data.
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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.