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Individual differences in human brain development

This article discusses recent scientific advances in the study of individual differences in human brain development. Focusing on structural neuroimaging measures of brain morphology and tissue properties, two kinds of variability are related and explored: differences across individuals of the same a...

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Detalles Bibliográficos
Autor principal: Brown, Timothy T.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons, Inc. 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5682852/
https://www.ncbi.nlm.nih.gov/pubmed/27906499
http://dx.doi.org/10.1002/wcs.1389
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author Brown, Timothy T.
author_facet Brown, Timothy T.
author_sort Brown, Timothy T.
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description This article discusses recent scientific advances in the study of individual differences in human brain development. Focusing on structural neuroimaging measures of brain morphology and tissue properties, two kinds of variability are related and explored: differences across individuals of the same age and differences across age as a result of development. A recent multidimensional modeling study is explained, which was able to use brain measures to predict an individual's chronological age within about one year on average, in children, adolescents, and young adults between 3 and 20 years old. These findings reveal great regularity in the sequence of the aggregate brain state across different ages and phases of development, despite the pronounced individual differences people show on any single brain measure at any given age. Future research is suggested, incorporating additional measures of brain activity and function. WIREs Cogn Sci 2017, 8:e1389. doi: 10.1002/wcs.1389 For further resources related to this article, please visit the WIREs website.
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spelling pubmed-56828522017-11-15 Individual differences in human brain development Brown, Timothy T. Wiley Interdiscip Rev Cogn Sci Primer This article discusses recent scientific advances in the study of individual differences in human brain development. Focusing on structural neuroimaging measures of brain morphology and tissue properties, two kinds of variability are related and explored: differences across individuals of the same age and differences across age as a result of development. A recent multidimensional modeling study is explained, which was able to use brain measures to predict an individual's chronological age within about one year on average, in children, adolescents, and young adults between 3 and 20 years old. These findings reveal great regularity in the sequence of the aggregate brain state across different ages and phases of development, despite the pronounced individual differences people show on any single brain measure at any given age. Future research is suggested, incorporating additional measures of brain activity and function. WIREs Cogn Sci 2017, 8:e1389. doi: 10.1002/wcs.1389 For further resources related to this article, please visit the WIREs website. John Wiley & Sons, Inc. 2016-12-01 2017 /pmc/articles/PMC5682852/ /pubmed/27906499 http://dx.doi.org/10.1002/wcs.1389 Text en © 2016 The Authors. WIREs Cognitive Science published by Wiley Periodicals, Inc. This is an open access article under the terms of the Creative Commons Attribution‐NonCommercial‐NoDerivs (http://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle Primer
Brown, Timothy T.
Individual differences in human brain development
title Individual differences in human brain development
title_full Individual differences in human brain development
title_fullStr Individual differences in human brain development
title_full_unstemmed Individual differences in human brain development
title_short Individual differences in human brain development
title_sort individual differences in human brain development
topic Primer
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5682852/
https://www.ncbi.nlm.nih.gov/pubmed/27906499
http://dx.doi.org/10.1002/wcs.1389
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