Computational modeling of the brain : development, health, and disease
Abstract/Contents
- Abstract
- The brain is our most complex yet least understood organ, and many questions remain as to its development and the intricate relation between form and function. The characteristic wrinkling of the human brain is the result of both biological and mechanical processes during development, so it is crucial to incorporate soft tissue mechanics in our quest to address relevant developmental and medical questions. A major challenge in modeling the mechanical processes that influence brain development is the significant difference between traditional engineering materials and soft, growing biological tissues. In particular, it is not possible to natively model growth, or the addition of mass, using the traditional finite element method. In response to this challenge, this thesis elaborates on the applicability of computational tools and theoretical frameworks to the modeling of soft, growing materials. Combining the theory of finite growth, continuum mechanics, and finite element analysis allows for the incorporation of biological phenomena in FE simulations; helps distinguish between the behavior of soft, growing materials and their stiffer, non-growing counterparts; and enables the quantification of experimental and clinical data for validation. Beyond continuing work on the physiological and pathological development of the brain, these computational and theoretical advances on the modeling of soft, growing materials lead to many possibilities for future work on other soft tissues.
Description
| Type of resource | text |
|---|---|
| Form | electronic; electronic resource; remote |
| Extent | 1 online resource. |
| Publication date | 2017 |
| Issuance | monographic |
| Language | English |
Creators/Contributors
| Associated with | Holland, Maria A |
|---|---|
| Associated with | Stanford University, Department of Mechanical Engineering. |
| Primary advisor | Kuhl, Ellen |
| Thesis advisor | Kuhl, Ellen |
| Thesis advisor | Levenston, Marc Elliot |
| Thesis advisor | Pinsky, P |
| Advisor | Levenston, Marc Elliot |
| Advisor | Pinsky, P |
Subjects
| Genre | Theses |
|---|
Bibliographic information
| Statement of responsibility | Maria A. Holland. |
|---|---|
| Note | Submitted to the Department of Mechanical Engineering. |
| Thesis | Thesis (Ph.D.)--Stanford University, 2017. |
| Location | electronic resource |
Access conditions
- Copyright
- © 2017 by Maria Ann Holland
- License
- This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).
Also listed in
Loading usage metrics...