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A mechanical model predicts morphological abnormalities in the developing human brain
Open accessAbstract
The developing human brain remains one of the few unsolved mysteries of science. Advancements in developmental biology, neuroscience, and medical imaging have brought us closer than ever to understand brain development in health and disease. However, the precise role of mechanics throughout this process remains underestimated and poorly understood. Here we show that mechanical stretch plays a crucial role in brain development. Using the nonlinear field theories of mechanics supplemented by the theory of finite growth, we model the human brain as a living system with a morphogenetically growing outer surface and a stretch-driven growing inner core. This approach seamlessly integrates the two popular but competing hypotheses for cortical folding: axonal tension and differential growth. We calibrate our model using magnetic resonance images from very preterm neonates. Our model predicts that deviations in cortical growth and thickness induce morphological abnormalities. Using the gyrification index, the ratio between the total and exposed surface area, we demonstrate that these abnormalities agree with the classical pathologies of lissencephaly and polymicrogyria. Understanding the mechanisms of cortical folding in the developing human brain has direct implications in the diagnostics and treatment of neurological disorders, including epilepsy, schizophrenia, and autism.
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Cited by
Mechanical characterization of human brain tissue
Budday, S., Sommer, G., Birkl, C., Langkammer, C., Haybaeck, J., Kohnert, J., Bauer, M., Paulsen, F., Steinmann, P., Kuhl, E., et al. (2017) · Acta Biomaterialia · doi:10.1016/j.actbio.2016.10.036 · Cited by 656
Self-citationOn the growth and form of cortical convolutions
Tallinen, T., Chung, J. Y., Rousseau, F., Girard, N., Lefèvre, J., & Mahadevan, L. (2016) · Nature Physics · doi:10.1038/nphys3632 · Cited by 579
Fifty Shades of Brain: A Review on the Mechanical Testing and Modeling of Brain Tissue
Budday, S., Ovaert, T. C., Holzapfel, G. A., Steinmann, P., & Kuhl, E. (2020) · Archives of Computational Methods in Engineering · doi:10.1007/s11831-019-09352-w · Cited by 469
Self-citationBrain stiffness increases with myelin content
Weickenmeier, J., de Rooij, R., Budday, S., Steinmann, P., Ovaert, T. C., & Kuhl, E. (2016) · Acta Biomaterialia · doi:10.1016/j.actbio.2016.07.040 · Cited by 264
Self-citationAberrant cortical neurodevelopment in major depressive disorder
Schmitgen, M. M., Depping, M. S., Bach, C., Wolf, N. D., Kubera, K. M., Vasic, N., Hirjak, D., Sambataro, F., & Wolf, R. C. (2019) · Journal of Affective Disorders · doi:10.1016/j.jad.2018.09.021 · Cited by 53
Metadata
- Authors
- Budday, S., Raybaud, C., & Kuhl, E.
- Venue
- Scientific Reports
- Published
- 2014-07-10
- Volume
- 4
- Issue
- 1
- Pages
- 5644-5644
- ISSN
- 2045-2322 (ISSN-L)
- OpenAlex
- W2161083511
- Cited by
- 209
- References
- 0
- FWCI
- 11.26
- Type
- journal article
- Language
- en
- Open access
- gold
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- Budday, S., Raybaud, C., & Kuhl, E. (2014). A mechanical model predicts morphological abnormalities in the developing human brain. Scientific Reports. https://doi.org/10.1038/srep05644
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