D.P. Richman et al. “Mechanical model of brain convolutional development”. In: Science 189 (1975), pp. 18–21.
L. Ronan et al. “Differential tangential expansion as a mechanism for cortical gyrification”. In: Cereb. Cortex (2013).
S. Budday et al. “A mechanical model predicts morphological abnormalities in the developing human brain”. In: Scientific reports 4.1 (1975), p. 5644.
T. Tallinen et al. “On the growth and form of cortical convolutions”. In: Nature Physics 12.6 (2016), pp. 588–593.
M.S. Zarzor et al. “A two-field computational model couples cellular brain development with cortical folding”. In: Brain Multiphysics 2 (2021), p. 100025.
P.V. Bayly et al. “A cortical folding model incorporating stress-dependent growth explains gyral wavelengths and stress patterns in the developing brain.” In: Physical biology 10.1 (2013), p. 016005.
M.A. Holland et al. “Emerging brain morphologies from axonal elongation”. In: Annals of biomedical engineering 43 (2015), pp. 1640–1653.
X. Wang et al. “The influence of biophysical parameters in a biomechanical model of cortical folding patterns”. In: Scientific Reports 11.1 (2021), p. 7686.
L. da C. Campos et al. “The role of thickness inhomogeneities in hierarchical cortical folding”. In: Cond-Mat Physics Q-Bio (2020).
K.E. Garcia et al. “Dynamic patterns of cortical expansion during folding of the preterm human brain”. In: Proceedings of the National Academy of Sciences 115.12 (2018), pp. 3156-3161.
S. Budday et al. “Mechanical characterization of human brain tissue”. In: Acta biomaterialia 48 (2017), pp. 319–340.
S. Budday and P. Steinmann. “On the influence of inhomogeneous stiffness and growth on mechanical instabilities in the developing brain”. In: International Journal of Solids and Structures 132 (2018), pp. 31–41.
S. Wang et al. “Numerical investigation of biomechanically coupled growth in cortical folding”. In: Biomechanics and Modeling in Mechanobiology 20.2 (2021), pp. 555–567.
R. de Rooij and E. Kuhl. “A physical multifield model predicts the development of volume and structure in the human brain”. In: Journal of the Mechanics and Physics of Solids 112 (2018), pp. 563–576.
M.S. Zarzor et al. “Exploring the role of the outer subventricular zone during cortical folding through a physics-based model”. In: elife 12 (2023), e82925.
M. Alenyà et al. “Computational pipeline for the generation and validation of patientspecific mechanical models of brain development.” In: Brain Multiphysics 3 (2022), p. 100045.
Z. Wang et al. “An inverse modelling study on the local volume changes during early morphoelastic growth of the fetal human brain”. In: Brain multiphysics 2 (2021), p. 100023.
D. Germanaud et al. “Larger is twistier: spectral analysis of gyrification (SPANGY) applied to adult brain size polymorphism”. In: NeuroImage 63.3 (2012), pp. 1257–1272.
J. Dubois et al. “The dynamics of cortical folding waves and prematurity-related deviations revealed by spatial and spectral analysis of gyrification”. In: NeuroImage 185 (2019), pp. 934–946.
Vladislav A. Yastrebov. Numerical methods in contact mechanics. John Wiley & Sons, 2013, pp. 151–155.
M. Ouyang et al. “Delineation of early brain development from fetuses to infants with diffusion MRI and beyond”. In: Neuroimage 185 (2019), pp. 836–850.
C.D. Kroenke et al. “Regional patterns of cerebral cortical differentiation determined by diffusion tensor MRI”. In: Cerebral Cortex 19.12 (2009), pp. 2916–2929.
X.Wang et al. “Folding, but not surface area expansion, is associated with cellular morphological maturation in the fetal cerebral cortex”. In: Journal of Neuroscience 37.8 (2017), pp. 1971–1983.
E. Takahashi et al. “Emerging cerebral connectivity in the human fetal brain: an MR tractography study”. In: Cerebral cortex 22.2 (2012), pp. 455–464.
P. Chavoshnejad et al. “Role of axonal fibers in the cortical folding patterns: A tale of variability and regularity”. In: Brain Multiphysics 2 (2021), p. 100029.
Kroenke C.D. “Using diffusion anisotropy to study cerebral cortical gray matter development”. In: Journal of Magnetic Resonance 292 (2018), pp. 106–116.
M.S. Alnaes et al. “The FEniCS project version 1.5”. In: Archive of Numerical Software 3 (2015).
S. Urcun et al. “Non-operable glioblastoma: proposition of patient-specific forecasting by image-informed poromechanical model”. In: Brain Multiphysics 4 (2023), p. 100067.
T. Lavigne et al. “Single and bi-compartment poro-elastic model of perfused biological soft tissues: FEniCSx implementation and tutorial”. In: Journal of the Mechanical Behavior of Biomedical Materials 143 (2023), p. 105902.
J. Wu et al. “Age-specific structural fetal brain atlases construction and cortical development quantification for chinese population”. In: Neuroimage 241 (2021), p. 118412.
F. Wang et al. “Developmental topography of cortical thickness during infancy”. In: Proceedings of the National Academy of Sciences 116.32 (2019), pp. 15855–15860.
M.J. Razavi et al. “Role of mechanical factors in cortical folding development”. In: Physical Review E 92.3 (2015), p. 032701.
N. Demirci et al. “Consistency and variation in the placement of cortical folds: a perspective”. In: Brain Multiphysics 5 (2023), p. 100080.
H. de Vareilles et al. “Development of cortical folds in the human brain: An attempt to review biological hypotheses, early neuroimaging investigations and functional correlates”. In: Developmental cognitive neuroscience 61 (2023), p. 101249.
J.J. Koenderink and A.J. Van Doorn. “Surface shape and curvature scales”. In: Image and vision computing 10.8 (1992), pp. 557–564.
N. Demirci et al. “Scaling patterns of cortical folding and thickness in early human brain development in comparison with primates”. In: Cerebral Cortex 34.2 (2024), bhad462.
