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Mechanical forces in cerebral cortical folding: A review of measurements and models

Open access
Bayly, P.V., Taber, L.A., Kroenke, C.D.·2014·Journal of the Mechanical Behavior of Biomedical Materials

Abstract

Folding of the cerebral cortical surface is a critical process in human brain development, yet despite decades of indirect study and speculation the mechanics of the process remain incompletely understood. Leading hypotheses have focused on the roles of circumferential expansion of the cortex, radial growth, and internal tension in neuronal fibers (axons). In this article, we review advances in the mathematical modeling of growth and morphogenesis and new experimental data, which together promise to clarify the mechanical basis of cortical folding. Recent experimental studies have illuminated not only the fundamental cellular and molecular processes underlying cortical development, but also the stress state and mechanical behavior of the developing brain. The combination of mathematical modeling and biomechanical data provides a means to evaluate hypothesized mechanisms objectively and quantitatively, and to ensure that they are consistent with physical law, given plausible assumptions and reasonable parameter values.

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Crossref · 10.1016/j.jmbbm.2013.02.018

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Metadata

Authors
Bayly, P. V., Taber, L. A., & Kroenke, C. D.
Venue
Journal of the Mechanical Behavior of Biomedical Materials
Publisher
Elsevier BV
Published
2014-01
Volume
29
Pages
568-581
ISSN
1751-6161 (ISSN-L)
OpenAlex
W1983938996
Cited by
184
References
3
FWCI
4.22
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Mechanical forces in cerebral cortical folding: A review of measurements and models. https://app.cochat.ai/papers/10.1016/j.jmbbm.2013.02.018
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Bayly, P. V., Taber, L. A., & Kroenke, C. D. (2014). Mechanical forces in cerebral cortical folding: A review of measurements and models. Journal of the Mechanical Behavior of Biomedical Materials. https://doi.org/10.1016/j.jmbbm.2013.02.018

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.