Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Instabilities of soft films on compliant substrates.

Journal of the mechanics and physics of solids·2025
Same author

Childhood growth of singletons conceived following intracytoplasmic sperm injection - irrelevance of gonadotropin stimulation.

Frontiers in reproductive health·2024
Same author

Savings from the introduction of BPaL and BPaLM regimens at the country level.

IJTLD open·2024
Same author

School-based targeted prevention for children with mild intellectual disabilities or borderline intellectual functioning and behaviour problems: A pilot implementation study.

Journal of applied research in intellectual disabilities : JARID·2024
Same author

Effects of cardiac growth on electrical dyssynchrony in the single ventricle patient.

Computer methods in biomechanics and biomedical engineering·2023
Same author

Physical fitness and nutritional anthropometric status of children from disadvantaged communities in the Nelson Mandela Bay region.

South African journal of sports medicine·2023

Related Experiment Video

Updated: Feb 25, 2026

Viscoelastic Characterization of Soft Tissue-Mimicking Gelatin Phantoms using Indentation and Magnetic Resonance Elastography
07:57

Viscoelastic Characterization of Soft Tissue-Mimicking Gelatin Phantoms using Indentation and Magnetic Resonance Elastography

Published on: May 10, 2022

2.7K

Viscoelastic parameter identification of human brain tissue.

S Budday1, G Sommer2, G A Holzapfel3

  • 1Department of Mechanical Engineering, University of Erlangen-Nuremberg, 91058 Erlangen, Germany.

Journal of the Mechanical Behavior of Biomedical Materials
|July 31, 2017
PubMed
Summary

Human brain tissue stiffness varies significantly with conditioning. This study developed a new model to accurately predict brain mechanics for improved simulations in neuroscience research and clinical applications.

Keywords:
Finite viscoelasticityHuman brainOgden modelParameter identificationRheological testing

More Related Videos

Characterizing Multiscale Mechanical Properties of Brain Tissue Using Atomic Force Microscopy, Impact Indentation, and Rheometry
11:19

Characterizing Multiscale Mechanical Properties of Brain Tissue Using Atomic Force Microscopy, Impact Indentation, and Rheometry

Published on: September 6, 2016

13.1K
Biomechanical Characterization of Human Soft Tissues Using Indentation and Tensile Testing
07:07

Biomechanical Characterization of Human Soft Tissues Using Indentation and Tensile Testing

Published on: December 13, 2016

33.1K

Related Experiment Videos

Last Updated: Feb 25, 2026

Viscoelastic Characterization of Soft Tissue-Mimicking Gelatin Phantoms using Indentation and Magnetic Resonance Elastography
07:57

Viscoelastic Characterization of Soft Tissue-Mimicking Gelatin Phantoms using Indentation and Magnetic Resonance Elastography

Published on: May 10, 2022

2.7K
Characterizing Multiscale Mechanical Properties of Brain Tissue Using Atomic Force Microscopy, Impact Indentation, and Rheometry
11:19

Characterizing Multiscale Mechanical Properties of Brain Tissue Using Atomic Force Microscopy, Impact Indentation, and Rheometry

Published on: September 6, 2016

13.1K
Biomechanical Characterization of Human Soft Tissues Using Indentation and Tensile Testing
07:07

Biomechanical Characterization of Human Soft Tissues Using Indentation and Tensile Testing

Published on: December 13, 2016

33.1K

Area of Science:

  • Biomechanics
  • Neuroscience
  • Computational modeling

Background:

  • Accurate constitutive models of the human brain are crucial for understanding neurodevelopment, neurosurgery, and neurodegeneration.
  • Existing models often fail to predict brain behavior under varied loading conditions due to single-mode calibration.

Purpose of the Study:

  • To develop and calibrate a finite viscoelastic Ogden model for human brain tissue.
  • To characterize the nonlinear, conditioning, hysteresis, and asymmetric behaviors of brain matter under various loading conditions.

Main Methods:

  • Employed a finite viscoelastic Ogden model with six material parameters.
  • Calibrated the model using shear, shear relaxation, compression, compression relaxation, and tension data.
  • Analyzed four distinct human brain regions: cortex, basal ganglia, corona radiata, and corpus callosum.

Main Results:

  • Unconditioned gray and white matter showed similar stiffness (0.36kPa vs 0.35kPa).
  • Conditioned gray matter (0.52kPa) was three times stiffer than conditioned white matter (0.18kPa).
  • Viscous time constants differed between gray and white matter, suggesting variations in porosity.

Conclusions:

  • The developed Ogden model accurately captures human brain tissue's complex mechanical properties.
  • The findings provide crucial parameters for finite element simulations, enhancing accuracy in brain modeling for health and disease.
  • Rheological differences highlight potential porosity variations impacting tissue stiffness.