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Family Income, Parental Education and Brain Structure in Children and Adolescents
Socioeconomic disparities are associated with differences in cognitive development. The extent to which this translates to disparities in brain structure is unclear. Here, we investigated relationships between socioeconomic factors and brain morphometry, independently of genetic ancestry, among a co...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4414816/ https://www.ncbi.nlm.nih.gov/pubmed/25821911 http://dx.doi.org/10.1038/nn.3983 |
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author | Noble, Kimberly G. Houston, Suzanne M. Brito, Natalie H. Bartsch, Hauke Kan, Eric Kuperman, Joshua M. Akshoomoff, Natacha Amaral, David G. Bloss, Cinnamon S. Libiger, Ondrej Schork, Nicholas J. Murray, Sarah S. Casey, B. J. Chang, Linda Ernst, Thomas M. Frazier, Jean A. Gruen, Jeffrey R. Kennedy, David N. Zijl, Peter Van Mostofsky, Stewart Kaufmann, Walter E. Kenet, Tal Dale, Anders M. Jernigan, Terry L. Sowell, Elizabeth R. |
author_facet | Noble, Kimberly G. Houston, Suzanne M. Brito, Natalie H. Bartsch, Hauke Kan, Eric Kuperman, Joshua M. Akshoomoff, Natacha Amaral, David G. Bloss, Cinnamon S. Libiger, Ondrej Schork, Nicholas J. Murray, Sarah S. Casey, B. J. Chang, Linda Ernst, Thomas M. Frazier, Jean A. Gruen, Jeffrey R. Kennedy, David N. Zijl, Peter Van Mostofsky, Stewart Kaufmann, Walter E. Kenet, Tal Dale, Anders M. Jernigan, Terry L. Sowell, Elizabeth R. |
author_sort | Noble, Kimberly G. |
collection | PubMed |
description | Socioeconomic disparities are associated with differences in cognitive development. The extent to which this translates to disparities in brain structure is unclear. Here, we investigated relationships between socioeconomic factors and brain morphometry, independently of genetic ancestry, among a cohort of 1099 typically developing individuals between 3 and 20 years. Income was logarithmically associated with brain surface area. Specifically, among children from lower income families, small differences in income were associated with relatively large differences in surface area, whereas, among children from higher income families, similar income increments were associated with smaller differences in surface area. These relationships were most prominent in regions supporting language, reading, executive functions and spatial skills; surface area mediated socioeconomic differences in certain neurocognitive abilities. These data indicate that income relates most strongly to brain structure among the most disadvantaged children. Potential implications are discussed. |
format | Online Article Text |
id | pubmed-4414816 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
record_format | MEDLINE/PubMed |
spelling | pubmed-44148162015-11-01 Family Income, Parental Education and Brain Structure in Children and Adolescents Noble, Kimberly G. Houston, Suzanne M. Brito, Natalie H. Bartsch, Hauke Kan, Eric Kuperman, Joshua M. Akshoomoff, Natacha Amaral, David G. Bloss, Cinnamon S. Libiger, Ondrej Schork, Nicholas J. Murray, Sarah S. Casey, B. J. Chang, Linda Ernst, Thomas M. Frazier, Jean A. Gruen, Jeffrey R. Kennedy, David N. Zijl, Peter Van Mostofsky, Stewart Kaufmann, Walter E. Kenet, Tal Dale, Anders M. Jernigan, Terry L. Sowell, Elizabeth R. Nat Neurosci Article Socioeconomic disparities are associated with differences in cognitive development. The extent to which this translates to disparities in brain structure is unclear. Here, we investigated relationships between socioeconomic factors and brain morphometry, independently of genetic ancestry, among a cohort of 1099 typically developing individuals between 3 and 20 years. Income was logarithmically associated with brain surface area. Specifically, among children from lower income families, small differences in income were associated with relatively large differences in surface area, whereas, among children from higher income families, similar income increments were associated with smaller differences in surface area. These relationships were most prominent in regions supporting language, reading, executive functions and spatial skills; surface area mediated socioeconomic differences in certain neurocognitive abilities. These data indicate that income relates most strongly to brain structure among the most disadvantaged children. Potential implications are discussed. 2015-03-30 2015-05 /pmc/articles/PMC4414816/ /pubmed/25821911 http://dx.doi.org/10.1038/nn.3983 Text en http://www.nature.com/authors/editorial_policies/license.html#terms Users may view, print, copy, and download text and data-mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use:http://www.nature.com/authors/editorial_policies/license.html#terms |
spellingShingle | Article Noble, Kimberly G. Houston, Suzanne M. Brito, Natalie H. Bartsch, Hauke Kan, Eric Kuperman, Joshua M. Akshoomoff, Natacha Amaral, David G. Bloss, Cinnamon S. Libiger, Ondrej Schork, Nicholas J. Murray, Sarah S. Casey, B. J. Chang, Linda Ernst, Thomas M. Frazier, Jean A. Gruen, Jeffrey R. Kennedy, David N. Zijl, Peter Van Mostofsky, Stewart Kaufmann, Walter E. Kenet, Tal Dale, Anders M. Jernigan, Terry L. Sowell, Elizabeth R. Family Income, Parental Education and Brain Structure in Children and Adolescents |
title | Family Income, Parental Education and Brain Structure in Children and Adolescents |
title_full | Family Income, Parental Education and Brain Structure in Children and Adolescents |
title_fullStr | Family Income, Parental Education and Brain Structure in Children and Adolescents |
title_full_unstemmed | Family Income, Parental Education and Brain Structure in Children and Adolescents |
title_short | Family Income, Parental Education and Brain Structure in Children and Adolescents |
title_sort | family income, parental education and brain structure in children and adolescents |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4414816/ https://www.ncbi.nlm.nih.gov/pubmed/25821911 http://dx.doi.org/10.1038/nn.3983 |
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