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Disruption of cortical folding is associated with devastating disorders of cognition and emotion. Despite decades of study, the processes that produce normal and abnormal folding remain unresolved, although the relatively rapid tangential expansion of the cortex has emerged as a driving factor. Accurate and precise measurement of cortical growth patterns during the period of folding has remained elusive. Here, we illuminate the spatiotemporal dynamics of cortical expansion by analyzing MRI-derived surfaces of preterm infant brains, using a unique strain energy minimization approach.<\/jats:p>","DOI":"10.1073\/pnas.1715451115","type":"journal-article","created":{"date-parts":[[2018,3,5]],"date-time":"2018-03-05T16:08:38Z","timestamp":1520266118000},"page":"3156-3161","update-policy":"https:\/\/doi.org\/10.1073\/pnas.cm10313","source":"Crossref","is-referenced-by-count":144,"title":["Dynamic patterns of cortical expansion during folding of the preterm human brain"],"prefix":"10.1073","volume":"115","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1325-0749","authenticated-orcid":false,"given":"Kara E.","family":"Garcia","sequence":"first","affiliation":[{"name":"Department of Biomedical Engineering, Washington University in St. Louis, St. Louis, MO 63130;"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Emma 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Cereb Cortex 21, 1674\u20131694 (2010).","journal-title":"Cereb Cortex"},{"key":"e_1_3_4_26_2","doi-asserted-by":"crossref","first-page":"883","DOI":"10.1038\/nrn2008","article-title":"Patterns of neural stem and progenitor cell division may underlie evolutionary cortical expansion","volume":"7","author":"Kriegstein A","year":"2006","unstructured":"A Kriegstein, S Noctor, V Mart\u00ednez-Cerde\u00f1o, Patterns of neural stem and progenitor cell division may underlie evolutionary cortical expansion. Nat Rev Neurosci 7, 883\u2013890 (2006).","journal-title":"Nat Rev Neurosci"},{"key":"e_1_3_4_27_2","first-page":"141","article-title":"Gyrus formation in the cerebral cortex in the ferret. I. Description of the external changes","volume":"146","author":"Smart I","year":"1986","unstructured":"I Smart, G McSherry, Gyrus formation in the cerebral cortex in the ferret. I. Description of the external changes. 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