ArticleAnnals of biomedical engineering2021
Investigation of the Compressive Viscoelastic Properties of Brain Tissue Under Time and Frequency Dependent Loading Conditions.
Article 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 11 papers.
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Who cites it
11 citing papers in PubMed.
- Non-Linear Viscoelastic Modeling of PVA Gel Electrolytes for Structural Supercapacitors.Materials (Basel, Switzerland) · 2026Article
- Reliability of a convolutional neural network in segmenting multiple sclerosis lesions from MRI: Impact of data augmentation, image modality and tolerance with U-Net architecture.PLOS digital health · 2026Article
- Processing pipeline for large optical coherence elastography datasets with quasi-static air-jet excitation: application to human brain tumor tissue.Biomedical optics express · 2026Article
- Revisiting the biophysical aspects of extracellular-matrix-mimicking hydrogels: what cells seeBiomaterials science · 2025Review
- Overcoming Barriers in Neurosurgical Education: Introducing a Simulator for Insular Glioma Resection with Fluorescence Imaging (SIGMA).Journal of clinical medicine · 2025Article
- Tuning porosity of macroporous hydrogels enables rapid rates of stress relaxation and promotes cell expansion and migration.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Review of the Brain's Behaviour after Injury and Disease for Its Application in an Agent-Based Model (ABM).Biomimetics (Basel, Switzerland) · 2024Review
- A genetic algorithm optimization framework for the characterization of hyper-viscoelastic materials: application to human articular cartilage.Royal Society open science · 2024Article
- Article
- The alteration of the structure and macroscopic mechanical response of porcine patellar tendon by elastase digestion.Frontiers in bioengineering and biotechnology · 2024Article
- Why Intracranial Compliance Is Not Utilized as a Common Practical Tool in Clinical Practice.Biomedicines · 2023Review
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3 authors.
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Abstract
The mechanical characterization of brain tissue has been generally analyzed in the frequency and time domain. It is crucial to understand the mechanics of the brain under realistic, dynamic conditions and convert it to enable mathematical modelling in a time domain. In this study, the compressive viscoelastic properties of brain tissue were investigated under time and frequency domains with the same physical conditions and the theory of viscoelasticity was applied to estimate the prediction of viscoelastic response in the time domain based on frequency-dependent mechanical moduli through Finite Element models. Storage and loss modulus were obtained from white and grey matter, of bovine brains, using dynamic mechanical analysis and time domain material functions were derived based on a Prony series representation. The material models were evaluated using brain testing data from stress relaxation and hysteresis in the time dependent analysis. The Finite Element models were able to represent the trend of viscoelastic characterization of brain tissue under both testing domains. The outcomes of this study contribute to a better understanding of brain tissue mechanical behaviour and demonstrate the feasibility of deriving time-domain viscoelastic parameters from frequency-dependent compressive data for biological tissue, as validated by comparing experimental tests with computational simulations.
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