ArticleBrain multiphysics2021
Integrating material properties from magnetic resonance elastography into subject-specific computational models for the human brain.
Article in Brain multiphysics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
14 citing papers in PubMed, 23 citations in OpenAlex.
- Multiecho Fat-Water Spiral MR Elastography With Distributed Encoding for Simultaneously Imaging Brain and Skull Displacement.Magnetic resonance in medicine · 2026Article
- Effect of modeling subject-specific cortical folds on brain injury risk prediction under blunt impact loading.Biomechanics and modeling in mechanobiology · 2026Article
- Spatiotemporal modeling of tau aggregation following traumatic brain injury: implications for chronic traumatic encephalopathy.Biomechanics and modeling in mechanobiology · 2026Article
- Advances in mechanical assessments of in vivo human lumbar spine tissues with noninvasive imaging techniques.npj biomedical innovations · 2026Review
- Noninvasive mapping of shear strain predicts the anatomical distribution of mild traumatic brain injury.NeuroImage. Clinical · 2026Article
- Multimodal characterization of intracranial biomechanics in a 3D biofidelic head surrogate.Journal of the mechanical behavior of biomedical materials · 2026Article
- Average Responses of Brain Displacement Under Rotational Loading for Computational Model Validation.IEEE transactions on bio-medical engineering · 2025Article
- Surface-based versus voxel-based finite element head models: comparative analyses of strain responses.Biomechanics and modeling in mechanobiology · 2025Article
- Average Biomechanical Responses of the Human Brain Grouped by Age and Sex.Annals of biomedical engineering · 2025Article
- Full-field, frequency-domain comparison of simulated and measured human brain deformation.Biomechanics and modeling in mechanobiology · 2025Article
- Effect of Human Head Shape on the Risk of Traumatic Brain Injury: A Gaussian Process Regression-Based Machine Learning Approach.Military medicine · 2024Article
- Strain concentration drives the anatomical distribution of injury in acute and chronic traumatic brain injury.bioRxiv : the preprint server for biology · 2024Article
- Design and characterization of 3-D printed hydrogel lattices with anisotropic mechanical properties.Journal of the mechanical behavior of biomedical materials · 2023Article
- Data-driven Uncertainty Quantification in Computational Human Head Models.Computer methods in applied mechanics and engineering · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 4 institutions in 1 country.
Funding
Abstract
Advances in brain imaging and computational methods have facilitated the creation of subject-specific computational brain models that aid researchers in investigating brain trauma using simulated impacts. The emergence of magnetic resonance elastography (MRE) as a non-invasive mechanical neuroimaging tool has enabled in vivo estimation of material properties at low-strain, harmonic loading. An open question in the field has been how this data can be integrated into computational models. The goals of this study were to use a novel MRI dataset acquired in human volunteers to generate models with subject-specific anatomy and material properties, and then to compare simulated brain deformations to subject-specific brain deformation data under non-injurious loading. Models of five subjects were simulated with linear viscoelastic (LVE) material properties estimated directly from MRE data. Model predictions were compared to experimental brain deformation acquired in the same subjects using tagged MRI. Outcomes from the models matched the spatial distribution and magnitude of the measured peak strain components as well as the 95
Indexed as
Identifiers
What OpenQuestion holds
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.