Development of cortical folds in the human brain: An attempt to review biological hypotheses, early neuroimaging investigations and functional correlates

Developmental Cognitive Neuroscience - Tập 61 - Trang 101249 - 2023
H. de Vareilles1, D. Rivière1, JF Mangin1, J. Dubois2,3
1Université Paris-Saclay, NeuroSpin-BAOBAB, CEA, CNRS, Gif-sur-Yvette, France
2Université Paris Cité, NeuroDiderot, Inserm, Paris, France
3Université Paris-Saclay, NeuroSpin-UNIACT, CEA, Gif-sur-Yvette, France

Tài liệu tham khảo

Adamson, 2020, Parcellation of the neonatal cortex using surface-based Melbourne children’s regional infant brain atlases (M-CRIB-S), Sci. Rep., 10, 4359, 10.1038/s41598-020-61326-2 Ajayi-Obe, 2000, Reduced development of cerebral cortex in extremely preterm infants, Lancet, 356, 1162, 10.1016/S0140-6736(00)02761-6 Aleman-Gomez, 2013, The human cerebral cortex flattens during adolescence, J. Neurosci., 33, 15004, 10.1523/JNEUROSCI.1459-13.2013 Anbeek, 2013, Automatic segmentation of eight tissue classes in neonatal brain MRI, PLoS ONE, 8, 10.1371/journal.pone.0081895 Anderson, 2006, Neurodevelopmental outcome of bronchopulmonary dysplasia, Semin. Perinatol., 30, 227, 10.1053/j.semperi.2006.05.010 Auzias, 2013, Model-driven harmonic parameterization of the cortical surface: HIP-HOP, IEEE Trans. Med. Imaging, 32, 873, 10.1109/TMI.2013.2241651 Auzias, G., De Guio, F., Pepe, A., Rousseau, F., Mangin, J.-F., Girard, N., Lefevre, J., Coulon, O., 2015. Model-driven parameterization of fetal cortical surfaces, in: 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI). Presented at the 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI 2015), IEEE, Brooklyn, NY, USA, pp. 1260–1263. https://doi.org/10.1109/ISBI.2015.7164103. Bae, 2021, A brain extraction algorithm for infant T2 weighted magnetic resonance images based on fuzzy c-means thresholding, Sci. Rep., 11, 23347, 10.1038/s41598-021-02722-0 Bartley, 1997, Genetic variability of human brain size and cortical gyral patterns, Brain, 120, 257, 10.1093/brain/120.2.257 Bayly, 2014, Mechanical forces in cerebral cortical folding: a review of measurements and models, J. Mech. Behav. Biomed. Mater., 29, 568, 10.1016/j.jmbbm.2013.02.018 Benkarim, 2018, Cortical folding alterations in fetuses with isolated non-severe ventriculomegaly, NeuroImage: Clin., 18, 103, 10.1016/j.nicl.2018.01.006 Bisiacchi, 2022, Structural and functional brain asymmetries in the early phases of life: a scoping review, Brain Struct. Funct., 227, 479, 10.1007/s00429-021-02256-1 Blanton, 2001, Mapping cortical asymmetry and complexity patterns in normal children, Psychiatry Res.: Neuroimaging, 107, 29, 10.1016/S0925-4927(01)00091-9 Borne, L., 2019. Design of a top-down computer vision algorithm dedicated to the recognition of cortical sulci. PhD thesis, Université Paris-Saclay. Borrell, 2018, How cells fold the cerebral cortex, J. Neurosci., 38, 776, 10.1523/JNEUROSCI.1106-17.2017 Boucher, 2009, Depth potential function for folding pattern representation, registration and analysis, Med. Image Anal., 13, 203, 10.1016/j.media.2008.09.001 Bouyeure, A., Dubois, J., Germanaud, D., Leroy, F., Mangin, J.F., Lefèvre, J., de Vries, L., Groenendal, F., Chiron, C., Hertz-Pannier, L., Benders, M., Noulhiane, M., 2017. Sulcal morphology in the medial temporal lobe in healthy preterm infants. Organization for Human Brain Mapping Meeting (OHBM 2017), Vancouver, Canada. Bozek, 2018, Construction of a neonatal cortical surface atlas using multimodal surface matching in the developing human connectome project, NeuroImage 179, 11–29, 10.1016/j.neuroimage.2018.06.018 Cachia, 2003, A primal sketch of the cortex mean curvature: a morphogenesis based approach to study the variability of the folding patterns, IEEE Trans. Med. Imaging, 22, 754, 10.1109/TMI.2003.814781 Cachia, 2016, Longitudinal stability of the folding pattern of the anterior cingulate cortex during development, Dev. Cogn. Neurosci., 19, 122, 10.1016/j.dcn.2016.02.011 Cachia, 2018, How interindividual differences in brain anatomy shape reading accuracy, Brain Struct. Funct., 223, 701, 10.1007/s00429-017-1516-x Cachia, 2021, Towards deciphering the foetal foundation of normal cognition and cognitive symptoms from sulcation of the cortex, Front. Neuroanat., 15, 10.3389/fnana.2021.712862 Cardoso, 2013, AdaPT: an adaptive preterm segmentation algorithm for neonatal brain MRI, NeuroImage, 65, 97, 10.1016/j.neuroimage.2012.08.009 Chi, 1977, Gyral development of the human brain, Ann. Neurol., 1, 86, 10.1002/ana.410010109 Chi, 1977, Left-right asymmetries of the temporal speech areas of the human foetus, Arch. Neurol., 34, 346, 10.1001/archneur.1977.00500180040008 Cordero-Grande, 2018, Three-dimensional motion corrected sensitivity encoding reconstruction for multi-shot multi-slice MRI: Application to neonatal brain imaging: Aligned Multi-Shot Multi-Slice MRI, Magn. Reson. Med., 79, 1365, 10.1002/mrm.26796 Coulon, O., Lefevre, J., Kloppel, S., Siebner, H., Mangin, J.-F., 2015. Quasi-isometric length parameterization of cortical sulci: Application to handedness and the central sulcus morphology, in: 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI). Presented at the 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI 2015), IEEE, Brooklyn, NY, USA, pp. 1268–1271. https://doi.org/10.1109/ISBI.2015.7164105. Cunningham, D.J., 1892. Cunningham Memoirs - Contribution to the surface anatomy of the cerebral hemispheres by D.J. Cunningham with a chapter upon cranio-cerebral topography by Victor Horsley. De Vareilles, 2023, Exploring the emergence of morphological asymmetries around the brain’s Sylvian fissure: a longitudinal study of shape variability in preterm infants, Cereb. Cortex, bhac533 Dehaene-Lambertz, 2015, The infancy of the human brain, Neuron, 88, 93, 10.1016/j.neuron.2015.09.026 Dehaene-Lambertz, 2006, Nature and nurture in language acquisition: anatomical and functional brain-imaging studies in infants, Trends Neurosci., 29, 367, 10.1016/j.tins.2006.05.011 del Toro, 2017, Regulation of cerebral cortex folding by controlling neuronal migration via FLRT Adhesion Molecules, Cell, 169 Duan, 2019, Exploring folding patterns of infant cerebral cortex based on multi-view curvature features: Methods and applications, NeuroImage, 185, 575, 10.1016/j.neuroimage.2018.08.041 Dubois, 2021, Multimodal MRI: Applications to early brain development in infants, 153, 10.1016/B978-0-12-816633-8.00017-X Dubois, 2015, foetal and Postnatal Development of the Cortex: MRI and Genetics, 11 Dubois, 2008, Mapping the Early Cortical Folding Process in the Preterm Newborn Brain, Cereb. Cortex, 18, 1444, 10.1093/cercor/bhm180 Dubois, 2008, Primary cortical folding in the human newborn: an early marker of later functional development, Brain, 131, 2028, 10.1093/brain/awn137 Dubois, 2010, Structural asymmetries of periSylvian regions in the preterm newborn, NeuroImage, 52, 32, 10.1016/j.neuroimage.2010.03.054 Dubois, 2014, The early development of brain white matter: a review of imaging studies in foetuses, newborns and infants, Neuroscience, 276, 48, 10.1016/j.neuroscience.2013.12.044 Dubois, 2019, The dynamics of cortical folding waves and prematurity-related deviations revealed by spatial and spectral analysis of gyrification, NeuroImage, 185, 934, 10.1016/j.neuroimage.2018.03.005 Dubois, 2021, MRI of the Neonatal Brain: A Review of Methodological Challenges and Neuroscientific Advances, J. Magn. Reson Imaging, 53, 1318, 10.1002/jmri.27192 Engelhardt, 2015, Regional impairments of cortical folding in premature infants, Ann. Neurol., 77, 154, 10.1002/ana.24313 Feess-Higgins, 1987 Fernández, 2016, Cerebral cortex expansion and folding: what have we learned, EMBO J., 35, 1021, 10.15252/embj.201593701 Fish, 2016, Influences of brain size, sex, and sex chromosome complement on the architecture of human cortical folding, Cereb. Cortex cercor, bhw323v1 Foubet, 2019, Mechanical morphogenesis and the development of neocortical organisation, Cortex, 118, 315, 10.1016/j.cortex.2018.03.005 Garcia, 2018, Mechanics of cortical folding: stress, growth and stability, Philos. Trans. R. Soc. B, 373, 20170321, 10.1098/rstb.2017.0321 Garcia, 2018, Dynamic patterns of cortical expansion during folding of the preterm human brain, Proc. Natl. Acad. Sci. USA, 115, 3156, 10.1073/pnas.1715451115 Garel, C., Chantrel, E., Brisse, H., Elmaleh, M., Luton, D., Oury, J.-F., Sebag, G., Hassan, M., 2001. foetal Cerebral Cortex: Normal Gestational Landmarks Identified Using Prenatal MR Imaging 6. Gay, 2017, Cognitive control deficit in patients with first-episode schizophrenia is associated with complex deviations of early brain development, 42, 87 Germanaud, 2012, Larger is twistier: Spectral analysis of gyrification (SPANGY) applied to adult brain size polymorphism, NeuroImage, 63, 1257, 10.1016/j.neuroimage.2012.07.053 Germann, 2019, Tight Coupling between Morphological Features of the Central Sulcus and Somatomotor Body Representations: A Combined Anatomical and Functional MRI Study, Cereb. Cortex bhz208 Gholipour, 2011, foetal brain volumetry through MRI volumetric reconstruction and segmentation, Int J. CARS, 6, 329, 10.1007/s11548-010-0512-x Ginsberg, 2021, Quantification of foetal Gyrogenesis in the Third Trimester. A Novel Algorithm for Evaluating foetal Sulci Development, J. Neuroimaging, 31, 372, 10.1111/jon.12817 Glasel, 2011, A robust cerebral asymmetry in the infant brain: The rightward superior temporal sulcus, NeuroImage, 58, 716, 10.1016/j.neuroimage.2011.06.016 Gui, 2012, Morphology-driven automatic segmentation of MR images of the neonatal brain, Med. Image Anal., 16, 1565, 10.1016/j.media.2012.07.006 Habas, 2010, A spatiotemporal atlas of MR intensity, tissue probability and shape of the foetal brain with application to segmentation, NeuroImage, 53, 460, 10.1016/j.neuroimage.2010.06.054 Habas, 2012, Early Folding Patterns and Asymmetries of the Normal Human Brain Detected from in Utero MRI, Cereb. Cortex, 22, 13, 10.1093/cercor/bhr053 Hansen, 1993, MR imaging of the developing human brain, RadioGraphics, 13, 21, 10.1148/radiographics.13.1.8426929 Hedderich, 2019, Aberrant gyrification contributes to the link between gestational age and adult IQ after premature birth, Brain, 142, 1255, 10.1093/brain/awz071 Heuer, 2019, Role of mechanical morphogenesis in the development and evolution of the neocortex, Phys. Life Rev., 31, 233, 10.1016/j.plrev.2019.01.012 Hill, 2010, Similar patterns of cortical expansion during human development and evolution, Proc. Natl. Acad. Sci., 107, 13135, 10.1073/pnas.1001229107 Im, 2019, Sulcal pits and patterns in developing human brains, NeuroImage, 185, 881, 10.1016/j.neuroimage.2018.03.057 Im, 2008, Brain size and cortical structure in the adult human brain, Cereb. Cortex, 18, 2181, 10.1093/cercor/bhm244 Im, 2010, Spatial distribution of deep sulcal landmarks and hemispherical asymmetry on the cortical surface, Cereb. Cortex, 20, 602, 10.1093/cercor/bhp127 Im, 2011, Quantitative comparison and analysis of sulcal patterns using sulcal graph matching: A twin study, NeuroImage, 57, 1077, 10.1016/j.neuroimage.2011.04.062 Im, 2017, Quantitative folding pattern analysis of early primary sulci in human fetuses with brain abnormalities, AJNR Am. J. Neuroradiol., 38, 1449, 10.3174/ajnr.A5217 Išgum, 2015, Evaluation of automatic neonatal brain segmentation algorithms: The NeoBrainS12 challenge, Med. Image Anal., 20, 135, 10.1016/j.media.2014.11.001 Jiang, 2021, Fundamental functional differences between gyri and sulci: implications for brain function, cognition, and behavior, Psychoradiology, 1, 23, 10.1093/psyrad/kkab002 Kapellou, 2006, Abnormal cortical development after premature birth shown by altered allometric scaling of brain growth, PLoS Med, 3, 10.1371/journal.pmed.0030265 Kersbergen, 2016, Relation between clinical risk factors, early cortical changes, and neurodevelopmental outcome in preterm infants, NeuroImage, 142, 301, 10.1016/j.neuroimage.2016.07.010 Kim, 2016, NEOCIVET: towards accurate morphometry of neonatal gyrification and clinical applications in preterm newborns, NeuroImage, 138, 28, 10.1016/j.neuroimage.2016.05.034 Kim, 2016, Development of cortical shape in the human brain from 6 to 24months of age via a novel measure of shape complexity, NeuroImage, 135, 163, 10.1016/j.neuroimage.2016.04.053 Kim, 2020, Disruption and compensation of sulcation-based covariance networks in neonatal brain growth after perinatal injury, Cereb. Cortex bhaa181, 10.1093/cercor/bhaa181 Kochunov, 2005, Age-related morphology trends of cortical sulci, Hum. Brain Mapp., 26, 210, 10.1002/hbm.20198 Kostović, 2019, Neural histology and neurogenesis of the human foetal and infant brain, NeuroImage, 188, 743, 10.1016/j.neuroimage.2018.12.043 Kroenke, 2018, How Forces Fold the Cerebral Cortex, J. Neurosci., 38, 767, 10.1523/JNEUROSCI.1105-17.2017 Kuklisova-Murgasova, 2012, Reconstruction of foetal brain MRI with intensity matching and complete outlier removal, Med. Image Anal., 16, 1550, 10.1016/j.media.2012.07.004 Lavoie, 2014, Sulcogyral pattern and sulcal count of the orbitofrontal cortex in individuals at ultra high risk for psychosis, Schizophr. Res., 154, 93, 10.1016/j.schres.2014.02.008 Le Guen, 2018, The chaotic morphology of the left superior temporal sulcus is genetically constrained, NeuroImage, 174, 297, 10.1016/j.neuroimage.2018.03.046 Le Guen, 2019, Enhancer locus in ch14q23.1 modulates brain asymmetric temporal regions involved in language processing, Neuroscience Lebenberg, 2018, A framework based on sulcal constraints to align preterm, infant and adult human brain images acquired in vivo and post mortem, Brain Struct. Funct., 223, 4153, 10.1007/s00429-018-1735-9 Lebenberg, 2019, Mapping the asynchrony of cortical maturation in the infant brain: A MRI multi-parametric clustering approach, NeuroImage, 185, 641, 10.1016/j.neuroimage.2018.07.022 Lefèvre, 2010, A reaction-diffusion model of human brain development, PLoS Comput. Biol., 6, 10.1371/journal.pcbi.1000749 Lefèvre, 2016, Are developmental trajectories of cortical folding comparable between cross-sectional datasets of foetuses and preterm newborns?, Cereb. Cortex, 26, 3023, 10.1093/cercor/bhv123 Lefèvre, 2018, SPANOL (SPectral ANalysis of Lobes): a spectral clustering framework for individual and group parcellation of cortical surfaces in lobes, Front. Neurosci., 12, 354, 10.3389/fnins.2018.00354 Leroy, 2011, Atlas-Free Surface Reconstruction of the Cortical Grey-White Interface in Infants, PLoS ONE, 6, 10.1371/journal.pone.0027128 Leroy, 2015, New human-specific brain landmark: The depth asymmetry of superior temporal sulcus, Proc. Natl. Acad. Sci. USA, 112, 1208, 10.1073/pnas.1412389112 Lewitus, 2013, Conical expansion of the outer subventricular zone and the role of neocortical folding in evolution and development, Front. Hum. Neurosci., 7 Li, 2014, Mapping longitudinal development of local cortical gyrification in infants from birth to 2 Years of age, J. Neurosci., 34, 4228, 10.1523/JNEUROSCI.3976-13.2014 Li, 2019, Computational neuroanatomy of baby brains: a review, NeuroImage, 185, 906, 10.1016/j.neuroimage.2018.03.042 Liu, 2016, Patch-based augmentation of Expectation–Maximization for brain MRI tissue segmentation at arbitrary age after premature birth, NeuroImage, 127, 387, 10.1016/j.neuroimage.2015.12.009 Llinares-Benadero, 2019, Deconstructing cortical folding: genetic, cellular and mechanical determinants, Nat. Rev. Neurosci., 20, 161, 10.1038/s41583-018-0112-2 Lohmann, 2008, Deep sulcal landmarks provide an organizing framework for human cortical folding, Cereb. Cortex, 18, 1415, 10.1093/cercor/bhm174 Luders, 2006, A curvature-based approach to estimate local gyrification on the cortical surface, NeuroImage, 29, 1224, 10.1016/j.neuroimage.2005.08.049 Makropoulos, 2014, Automatic Whole Brain MRI Segmentation of the Developing Neonatal Brain, IEEE Trans. Med. Imaging, 33, 1818, 10.1109/TMI.2014.2322280 Makropoulos, 2018, The developing human connectome project: A minimal processing pipeline for neonatal cortical surface reconstruction, NeuroImage, 173, 88, 10.1016/j.neuroimage.2018.01.054 Makropoulos, 2018, . A review on automatic foetal and neonatal brain MRI segmentation, NeuroImage, 170, 231, 10.1016/j.neuroimage.2017.06.074 Mallela, 2020, Sylvian fissure development is linked to differential genetic expression in the pre-folded brain, Sci. Rep., 10, 14489, 10.1038/s41598-020-71535-4 Mangin, 2010, vivo Meas. cortical Morphol.: means Mean.: Curr. Opin. Neurol., 1 Mangin, 2015, Sulci as Landmarks, 45 Mangin, 2015, Sulcus Identification and labelling, 365 Mangin, 2016, Spatial normalization of brain images and beyond, Med. Image Anal., 33, 127, 10.1016/j.media.2016.06.008 Massimo, 2022, Orchestrating human neocortex development across the scales; from micro to macro, Semin. Cell Dev. Biol., 130, 24, 10.1016/j.semcdb.2021.09.007 Meng, 2014, Spatial distribution and longitudinal development of deep cortical sulcal landmarks in infants, NeuroImage, 100, 206, 10.1016/j.neuroimage.2014.06.004 Meng, 2018, Discovering cortical sulcal folding patterns in neonates using large‐scale dataset, Hum. Brain Mapp., 39, 3625, 10.1002/hbm.24199 Moeskops, 2015, Development of Cortical Morphology Evaluated with Longitudinal MR Brain Images of Preterm Infants, PLoS ONE, 10, 10.1371/journal.pone.0131552 Ono, M., Kubik, S., & Abernathey, C.D. (1990). Atlas of the cerebral sulci. Thieme Medical Publishers. Orasanu, 2016, Cortical folding of the preterm brain: a longitudinal analysis of extremely preterm born neonates using spectral matching, Brain Behav., 6, 10.1002/brb3.488 Padilla, 2015, Brain growth gains and losses in extremely preterm infants at term, Cereb. Cortex, 25, 1897, 10.1093/cercor/bht431 Papini, 2020, Altered Cortical Gyrification in Adults Who Were Born Very Preterm and Its Associations With Cognition and Mental Health, Biol. Psychiatry.: Cogn. Neurosci. Neuroimaging, 5, 640 Payette, 2021, An automatic multi-tissue human foetal brain segmentation benchmark using the foetal Tissue Annotation Dataset, Sci. Data, 8, 167, 10.1038/s41597-021-00946-3 Perrot, 2011, Cortical sulci recognition and spatial normalization, Med. Image Anal., 15, 529, 10.1016/j.media.2011.02.008 Petrides, 2019 Piao, 2004, G Protein-Coupled Receptor-Dependent Development of Human Frontal Cortex, Science, 303, 2033, 10.1126/science.1092780 Pizzagalli, 2020, The reliability and heritability of cortical folds and their genetic correlations across hemispheres, Commun. Biol., 3, 510, 10.1038/s42003-020-01163-1 Prastawa, 2005, Automatic segmentation of MR images of the developing newborn brain, Med. Image Anal., 9, 457, 10.1016/j.media.2005.05.007 Rakic, 1988, Specification of cerebral cortical areas, Science, 241, 170, 10.1126/science.3291116 Rana, 2019, The subplate: a potential driver of cortical folding, Cereb. Cortex, 29, 4697, 10.1093/cercor/bhz003 Régis, 2005, “Sulcal Root” Generic Model: a Hypothesis to Overcome the Variability of the Human Cortex Folding Patterns, Neurol. Med. Chir. (Tokyo), 45, 1, 10.2176/nmc.45.1 Rekik, 2018, Do Baby Brain Cortices that Look Alike at Birth Grow Alike During the First Year of Postnatal Development?, 566 Robinson, 2018, Multimodal surface matching with higher-order smoothness constraints, NeuroImage, 167, 453, 10.1016/j.neuroimage.2017.10.037 Rockel, 1980, The basic uniformity in structure of the neocortex, 103, 221 Ronan, 2015, From genes to folds: a review of cortical gyrification theory, Brain Struct. Funct., 220, 2475, 10.1007/s00429-014-0961-z Rousseau, 2006, Registration-Based Approach for Reconstruction of High-Resolution In Utero foetal MR Brain Images, Acad. Radiol., 13, 1072, 10.1016/j.acra.2006.05.003 Rousseau, 2013, BTK: An open-source toolkit for foetal brain MR image processing, Comput. Methods Prog. Biomed., 109, 65, 10.1016/j.cmpb.2012.08.007 Sarrazin, 2018, Neurodevelopmental subtypes of bipolar disorder are related to cortical folding patterns: An international multicenter study, Bipolar Disord., 20, 721, 10.1111/bdi.12664 Shi, 2010, Neonatal brain image segmentation in longitudinal MRI studies, NeuroImage, 49, 391, 10.1016/j.neuroimage.2009.07.066 Shimony, 2016, Comparison of cortical folding measures for evaluation of developing human brain, NeuroImage, 125, 780, 10.1016/j.neuroimage.2015.11.001 Sowell, 2002, Mapping sulcal pattern asymmetry and local cortical surface gray matter distribution in vivo: maturation in perisylvian cortices, Cereb. Cortex, 12, 17, 10.1093/cercor/12.1.17 Sprung-Much, 2018, Morphological patterns and spatial probability maps of two defining sulci of the posterior ventrolateral frontal cortex of the human brain: the sulcus diagonalis and the anterior ascending ramus of the lateral fissure, Brain Struct. Funct., 223, 4125, 10.1007/s00429-018-1733-y Striedter, 2015, Cortical folding: when, where, how, and why?, Annu. Rev. Neurosci., 38, 291, 10.1146/annurev-neuro-071714-034128 Studholme, 2015, Mapping the developing human brain in utero using quantitative MR imaging techniques, Semin. Perinatol., 39, 105, 10.1053/j.semperi.2015.01.003 Sun, 2012, The effect of handedness on the shape of the central sulcus, NeuroImage, 60, 332, 10.1016/j.neuroimage.2011.12.050 Sun, 2016, Linking morphological and functional variability in hand movement and silent reading, Brain Struct. Funct., 221, 3361, 10.1007/s00429-015-1106-8 Sun, Z.Y., Cachia, A., Rivière, D., Fischer, C., Makin, T., Mangin, J.-F., 2017. Congenital unilateral upper limb absence flattens the contralateral hand-knob. Organization for Human Brain Mapping Meeting (OHBM 2017), Vancouver, Canada. 〈hal-02876124〉. Sur, 2005, Patterning and plasticity of the cerebral cortex, Science, 310, 805, 10.1126/science.1112070 Tallinen, 2014, Gyrification from constrained cortical expansion, Proc. Natl. Acad. Sci., 111, 12667, 10.1073/pnas.1406015111 Tallinen, 2016, On the growth and form of cortical convolutions, Nat. Phys., 12, 588, 10.1038/nphys3632 Tarui, 2018, Disorganized patterns of sulcal position in fetal brains with agenesis of corpus callosum, Cereb. Cortex, 28, 3192, 10.1093/cercor/bhx191 Tissier, 2018, Sulcal Polymorphisms of the IFC and ACC Contribute to Inhibitory Control Variability in Children and Adults, eNeuro, 5, 10.1523/ENEURO.0197-17.2018 Toro, 2005, A morphogenetic model for the development of cortical convolutions, Cereb. Cortex, 15, 1900, 10.1093/cercor/bhi068 van der Knaap, 1996, Normal gyration and sulcation in preterm and term neonates: appearance on MR images, Radiology, 10.1148/radiology.200.2.8685331 Van Essen, 1997, A tension-based theory of morphogenesis and compact wiring in the central nervous system, Nature, 385, 313, 10.1038/385313a0 Van Essen, 2020, A 2020 view of tension-based cortical morphogenesis, PNAS, 117, 32868, 10.1073/pnas.2016830117 Van Essen, 2019, Cerebral cortical folding, parcellation, and connectivity in humans, nonhuman primates, and mice, Proc. Natl. Acad. Sci. USA, 116, 26173, 10.1073/pnas.1902299116 de Vareilles, 2022, Shape variability of the central sulcus in the developing brain: a longitudinal descriptive and predictive study in preterm infants, NeuroImage, 251, 10.1016/j.neuroimage.2021.118837 Vasung, 2019, Quantitative In vivo MRI assessment of structural asymmetries and sexual dimorphism of transient foetal compartments in the human brain, Cereb. Cortex bhz200 Vasung, 2021, Association between Quantitative MR Markers of Cortical Evolving Organization and Gene Expression during Human Prenatal Brain Development, Cereb. Cortex, 31, 3610, 10.1093/cercor/bhab035 Wang, 2011, Automatic segmentation of neonatal images using convex optimization and coupled level sets, NeuroImage, 58, 805, 10.1016/j.neuroimage.2011.06.064 Wang, 2015, LINKS: Learning-based multi-source IntegratioN frameworK for Segmentation of infant brain images, NeuroImage, 108, 160, 10.1016/j.neuroimage.2014.12.042 Wang, 2019, A mechanical method of cerebral cortical folding development based on thermal expansion, Sci. Rep., 9, 1914, 10.1038/s41598-018-37461-2 Wang, 2017, Folding, But Not Surface Area Expansion, Is Associated with Cellular Morphological Maturation in the Fetal Cerebral Cortex, J. Neurosci., 37, 1971, 10.1523/JNEUROSCI.3157-16.2017 Wang, 2021, The influence of biophysical parameters in a biomechanical model of cortical folding patterns, Sci. Rep., 11, 7686, 10.1038/s41598-021-87124-y Welker, 1990, Why Does Cerebral Cortex Fissure and Fold?, Cereb. Cortex, 3, 10.1007/978-1-4615-3824-0_1 Wright, 2014, Automatic quantification of normal cortical folding patterns from foetal brain MRI, NeuroImage, 91, 21, 10.1016/j.neuroimage.2014.01.034 Wright, 2015, Construction of a foetal spatio-temporal cortical surface atlas from in utero MRI: Application of spectral surface matching, NeuroImage, 120, 467, 10.1016/j.neuroimage.2015.05.087 Xia, 2019, Fetal cortical surface atlas parcellation based on growth patterns, Hum. Brain Mapp. hbm, 24637 Xu, 2010, Axons Pull on the Brain, But Tension Does Not Drive Cortical Folding, J. Biomech. Eng., 132, 10.1115/1.4001683 Yun, 2019, Automatic labelling of cortical sulci for the human foetal brain based on spatio-temporal information of gyrification, NeuroImage, 188, 473, 10.1016/j.neuroimage.2018.12.023 Yun, 2021, Regional Alterations in Cortical Sulcal Depth in Living Fetuses with Down Syndrome, Cereb. Cortex, 31, 757, 10.1093/cercor/bhaa255 Zhao, 2022, Deep learning in cortical surface-based neuroimage analysis: a systematic review, Intell. Med. Zilles, 2013, Development of cortical folding during evolution and ontogeny, Trends Neurosci., 36, 275, 10.1016/j.tins.2013.01.006