Region‐ and loading‐specific finite viscoelasticity of human brain tissue

Journal article
(Original article)


Publication Details

Author(s): Budday S, Sommer G, Paulsen F, Holzapfel GA, Steinmann P, Kuhl E
Journal: Proceedings in Applied Mathematics and Mechanics
Publication year: 2018
Volume: 18
ISSN: 1617-7061


Abstract

Computational simulations are a powerful tool to understand the
mechanical behavior of our brain in health and disease, with the
ultimate goal to prevent pathological conditions. Accurate numerical
predictions, however, require the development of appropriate
constitutive models and, equally important, the careful calibration of
the corresponding constitutive parameters. This has been exceptionally
challenging due to the ultrasoft and heterogeneous nature of brain
tissue, resulting in a distinctly nonlinear, rate‐dependent,
compression‐tension asymmetric, and region‐dependent behavior. Previous
constitutive models have been deduced from a single loading mode, but
fail to predict the behavior under various loading conditions. Here, we
developed a large strain, nonlinear, viscoelastic constitutive model for
brain tissue on the basis of cyclic and relaxation experiments under
multiple loading modes, simple shear, compression, and tension. We
carefully calibrated individual parameter sets for four different
regions of the human brain, the cortex, the basal ganglia, the corona
radiata, and the corpus callosum. The model captures effects such as
nonlinearity and compression‐tension asymmetry, but also time‐dependent
effects with substantial pre‐conditionning during the first loading
cycle, only minor conditioning effects during subsequent cycles, and
successive softening when the applied strain is stepwise increased. With
close consideration of the underlying microstructure, we evaluate the
physical meaning of viscoelastic material parameters with rate‐dependent
regional trends. Our results help to improve the accuracy of human
brain simulations during development and disease or to predict outcomes
of neurosurgical procedures.


FAU Authors / FAU Editors

Budday, Silvia Dr.-Ing.
Lehrstuhl für Technische Mechanik
Paulsen, Friedrich Prof. Dr.
Lehrstuhl für Anatomie II
Steinmann, Paul Prof. Dr.-Ing.
Lehrstuhl für Technische Mechanik


External institutions with authors

Stanford University
Technische Universität Graz


How to cite

APA:
Budday, S., Sommer, G., Paulsen, F., Holzapfel, G.A., Steinmann, P., & Kuhl, E. (2018). Region‐ and loading‐specific finite viscoelasticity of human brain tissue. Proceedings in Applied Mathematics and Mechanics, 18. https://dx.doi.org/10.1002/pamm.201800169

MLA:
Budday, Silvia, et al. "Region‐ and loading‐specific finite viscoelasticity of human brain tissue." Proceedings in Applied Mathematics and Mechanics 18 (2018).

BibTeX: 

Last updated on 2019-03-06 at 09:38