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Healthy cortical development through adolescence and early adulthood
Adolescence is a period of significant brain changes; however, the effects of age and sex on cortical development are yet to be fully characterized. Here, we utilized innovative intrinsic curvature (IC) analysis, along with the traditional cortical measures [cortical thickness (CT), local gyrificati...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5676813/ https://www.ncbi.nlm.nih.gov/pubmed/28417232 http://dx.doi.org/10.1007/s00429-017-1424-0 |
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author | Forde, Natalie J. Ronan, Lisa Zwiers, Marcel P. Schweren, Lizanne J. S. Alexander-Bloch, Aaron F. Franke, Barbara Faraone, Stephen V. Oosterlaan, Jaap Heslenfeld, Dirk J. Hartman, Catharina A. Buitelaar, Jan K. Hoekstra, Pieter J. |
author_facet | Forde, Natalie J. Ronan, Lisa Zwiers, Marcel P. Schweren, Lizanne J. S. Alexander-Bloch, Aaron F. Franke, Barbara Faraone, Stephen V. Oosterlaan, Jaap Heslenfeld, Dirk J. Hartman, Catharina A. Buitelaar, Jan K. Hoekstra, Pieter J. |
author_sort | Forde, Natalie J. |
collection | PubMed |
description | Adolescence is a period of significant brain changes; however, the effects of age and sex on cortical development are yet to be fully characterized. Here, we utilized innovative intrinsic curvature (IC) analysis, along with the traditional cortical measures [cortical thickness (CT), local gyrification index (LGI), and surface area (SA)], to investigate how these indices (1) relate to each other and (2) depend on age and sex in adolescent cortical development. T1-weighted magnetic resonance images from 218 healthy volunteers (age range 8.3–29.2 years, M[SD] = 16.5[3.4]) were collected at two sites and processed with FreeSurfer and Caret software packages. Surface indices were extracted per cortex area (frontal, parietal, occipital, temporal, insula, and cingulate). Correlation analyses between the surface indices were conducted and age curves were modelled using generalized additive mixed-effect models. IC showed region-specific associations with LGI, SA, and CT, as did CT with LGI. SA was positively associated with LGI in all regions and CT in none. CT and LGI, but not SA, were inversely associated with age in all regions. IC was inversely associated with age in all but the occipital region. For all regions, males had larger cortical SA than females. Males also had larger LGI in all regions and larger IC of the frontal area; however, these effects were accounted for by sex differences in SA. There were no age-by-sex interactions. The study of IC adds a semi-independent, sensitive measure of cortical morphology that relates to the underlying cytoarchitecture and may aid understanding of normal brain development and deviations from it. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s00429-017-1424-0) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5676813 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-56768132017-11-21 Healthy cortical development through adolescence and early adulthood Forde, Natalie J. Ronan, Lisa Zwiers, Marcel P. Schweren, Lizanne J. S. Alexander-Bloch, Aaron F. Franke, Barbara Faraone, Stephen V. Oosterlaan, Jaap Heslenfeld, Dirk J. Hartman, Catharina A. Buitelaar, Jan K. Hoekstra, Pieter J. Brain Struct Funct Original Article Adolescence is a period of significant brain changes; however, the effects of age and sex on cortical development are yet to be fully characterized. Here, we utilized innovative intrinsic curvature (IC) analysis, along with the traditional cortical measures [cortical thickness (CT), local gyrification index (LGI), and surface area (SA)], to investigate how these indices (1) relate to each other and (2) depend on age and sex in adolescent cortical development. T1-weighted magnetic resonance images from 218 healthy volunteers (age range 8.3–29.2 years, M[SD] = 16.5[3.4]) were collected at two sites and processed with FreeSurfer and Caret software packages. Surface indices were extracted per cortex area (frontal, parietal, occipital, temporal, insula, and cingulate). Correlation analyses between the surface indices were conducted and age curves were modelled using generalized additive mixed-effect models. IC showed region-specific associations with LGI, SA, and CT, as did CT with LGI. SA was positively associated with LGI in all regions and CT in none. CT and LGI, but not SA, were inversely associated with age in all regions. IC was inversely associated with age in all but the occipital region. For all regions, males had larger cortical SA than females. Males also had larger LGI in all regions and larger IC of the frontal area; however, these effects were accounted for by sex differences in SA. There were no age-by-sex interactions. The study of IC adds a semi-independent, sensitive measure of cortical morphology that relates to the underlying cytoarchitecture and may aid understanding of normal brain development and deviations from it. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s00429-017-1424-0) contains supplementary material, which is available to authorized users. Springer Berlin Heidelberg 2017-04-17 2017 /pmc/articles/PMC5676813/ /pubmed/28417232 http://dx.doi.org/10.1007/s00429-017-1424-0 Text en © The Author(s) 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
spellingShingle | Original Article Forde, Natalie J. Ronan, Lisa Zwiers, Marcel P. Schweren, Lizanne J. S. Alexander-Bloch, Aaron F. Franke, Barbara Faraone, Stephen V. Oosterlaan, Jaap Heslenfeld, Dirk J. Hartman, Catharina A. Buitelaar, Jan K. Hoekstra, Pieter J. Healthy cortical development through adolescence and early adulthood |
title | Healthy cortical development through adolescence and early adulthood |
title_full | Healthy cortical development through adolescence and early adulthood |
title_fullStr | Healthy cortical development through adolescence and early adulthood |
title_full_unstemmed | Healthy cortical development through adolescence and early adulthood |
title_short | Healthy cortical development through adolescence and early adulthood |
title_sort | healthy cortical development through adolescence and early adulthood |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5676813/ https://www.ncbi.nlm.nih.gov/pubmed/28417232 http://dx.doi.org/10.1007/s00429-017-1424-0 |
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