Literature DB >> 31365070

Cortical Structure and Cognition in Infants and Toddlers.

Jessica B Girault1, Emil Cornea2, Barbara D Goldman3, Shaili C Jha4, Veronica A Murphy5, Gang Li6, Li Wang6, Dinggang Shen6, Rebecca C Knickmeyer2,7, Martin Styner2,8, John H Gilmore2.   

Abstract

Cortical structure has been consistently related to cognitive abilities in children and adults, yet we know little about how the cortex develops to support emergent cognition in infancy and toddlerhood when cortical thickness (CT) and surface area (SA) are maturing rapidly. In this report, we assessed how regional and global measures of CT and SA in a sample (N = 487) of healthy neonates, 1-year-olds, and 2-year-olds related to motor, language, visual reception, and general cognitive ability. We report novel findings that thicker cortices at ages 1 and 2 and larger SA at birth, age 1, and age 2 confer a cognitive advantage in infancy and toddlerhood. While several expected brain-cognition relationships were observed, overlapping cortical regions were also implicated across cognitive domains, suggesting that infancy marks a period of plasticity and refinement in cortical structure to support burgeoning motor, language, and cognitive abilities. CT may be a particularly important morphological indicator of ability, but its impact on cognition is relatively weak when compared with gestational age and maternal education. Findings suggest that prenatal and early postnatal cortical developments are important for cognition in infants and toddlers but should be considered in relation to other child and demographic factors.
© The Author(s) 2019. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Entities:  

Keywords:  brain development; cognitive development; neuroimaging; surface area; thickness

Year:  2020        PMID: 31365070      PMCID: PMC7306173          DOI: 10.1093/cercor/bhz126

Source DB:  PubMed          Journal:  Cereb Cortex        ISSN: 1047-3211            Impact factor:   5.357


  65 in total

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Authors:  Suzanne Goh; Ravi Bansal; Dongrong Xu; Xuejun Hao; Jun Liu; Bradley S Peterson
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Journal:  J Neurosci       Date:  2011-05-11       Impact factor: 6.167

4.  Environmental Influences on Infant Cortical Thickness and Surface Area.

Authors:  Shaili C Jha; Kai Xia; Mihye Ahn; Jessica B Girault; Gang Li; Li Wang; Dinggang Shen; Fei Zou; Hongtu Zhu; Martin Styner; John H Gilmore; Rebecca C Knickmeyer
Journal:  Cereb Cortex       Date:  2019-03-01       Impact factor: 5.357

5.  Consistent reconstruction of cortical surfaces from longitudinal brain MR images.

Authors:  Gang Li; Jingxin Nie; Guorong Wu; Yaping Wang; Dinggang Shen
Journal:  Neuroimage       Date:  2011-11-15       Impact factor: 6.556

6.  Cortical thickness correlates of specific cognitive performance accounted for by the general factor of intelligence in healthy children aged 6 to 18.

Authors:  Sherif Karama; Roberto Colom; Wendy Johnson; Ian J Deary; Richard Haier; Deborah P Waber; Claude Lepage; Hooman Ganjavi; Rex Jung; Alan C Evans
Journal:  Neuroimage       Date:  2011-01-15       Impact factor: 6.556

7.  Distinct genetic influences on cortical surface area and cortical thickness.

Authors:  Matthew S Panizzon; Christine Fennema-Notestine; Lisa T Eyler; Terry L Jernigan; Elizabeth Prom-Wormley; Michael Neale; Kristen Jacobson; Michael J Lyons; Michael D Grant; Carol E Franz; Hong Xian; Ming Tsuang; Bruce Fischl; Larry Seidman; Anders Dale; William S Kremen
Journal:  Cereb Cortex       Date:  2009-03-18       Impact factor: 5.357

Review 8.  Evolution of the neocortex: a perspective from developmental biology.

Authors:  Pasko Rakic
Journal:  Nat Rev Neurosci       Date:  2009-10       Impact factor: 34.870

9.  Transformation of the Radial Glia Scaffold Demarcates Two Stages of Human Cerebral Cortex Development.

Authors:  Tomasz J Nowakowski; Alex A Pollen; Carmen Sandoval-Espinosa; Arnold R Kriegstein
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10.  Cognitive ability changes and dynamics of cortical thickness development in healthy children and adolescents.

Authors:  Miguel Burgaleta; Wendy Johnson; Deborah P Waber; Roberto Colom; Sherif Karama
Journal:  Neuroimage       Date:  2013-09-23       Impact factor: 6.556

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Journal:  Am J Clin Nutr       Date:  2022-10-06       Impact factor: 8.472

2.  Path Signature Neural Network of Cortical Features for Prediction of Infant Cognitive Scores.

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3.  Individual Variation of Human Cortical Structure Is Established in the First Year of Life.

Authors:  John H Gilmore; Benjamin Langworthy; Jessica B Girault; Jason Fine; Shaili C Jha; Sun Hyung Kim; Emil Cornea; Martin Styner
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4.  Neuroimaging young children and associations with neurocognitive development in a South African birth cohort study.

Authors:  Catherine J Wedderburn; Sivenesi Subramoney; Shunmay Yeung; Jean-Paul Fouche; Shantanu H Joshi; Katherine L Narr; Andrea M Rehman; Annerine Roos; Jonathan Ipser; Frances C Robertson; Nynke A Groenewold; Diana M Gibb; Heather J Zar; Dan J Stein; Kirsten A Donald
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Review 5.  [Early detection of primary developmental language disorders-increasing relevance due to changes in diagnostic criteria?]

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Review 6.  Neural and behavioral signatures of social evaluation and adaptation in childhood and adolescence: The Leiden consortium on individual development (L-CID).

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Journal:  Dev Cogn Neurosci       Date:  2020-07-11       Impact factor: 6.464

7.  Subdural Hemorrhage in Asymptomatic Neonates: Neurodevelopmental Outcomes and MRI Findings at 2 Years.

Authors:  Carlos Zamora; Cassandra Sams; Emil A Cornea; Zhenhua Yuan; J Keith Smith; John H Gilmore
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  7 in total

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