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Sexual dimorphism in the relationship between brain complexity, volume and general intelligence (g): a cross-cohort study
Changes in brain morphology have been reported during development, ageing and in relation to different pathologies. Brain morphology described by the shape complexity of gyri and sulci can be captured and quantified using fractal dimension (FD). This measure of brain structural complexity, as well a...
Autores principales: | , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9247090/ https://www.ncbi.nlm.nih.gov/pubmed/35773463 http://dx.doi.org/10.1038/s41598-022-15208-4 |
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author | Sandu, Anca-Larisa Waiter, Gordon D. Staff, Roger T. Nazlee, Nafeesa Habota, Tina McNeil, Chris J. Chapko, Dorota Williams, Justin H. Fall, Caroline H. D. Chandak, Giriraj R. Pene, Shailesh Krishna, Murali McIntosh, Andrew M. Whalley, Heather C. Kumaran, Kalyanaraman Krishnaveni, Ghattu V. Murray, Alison D. |
author_facet | Sandu, Anca-Larisa Waiter, Gordon D. Staff, Roger T. Nazlee, Nafeesa Habota, Tina McNeil, Chris J. Chapko, Dorota Williams, Justin H. Fall, Caroline H. D. Chandak, Giriraj R. Pene, Shailesh Krishna, Murali McIntosh, Andrew M. Whalley, Heather C. Kumaran, Kalyanaraman Krishnaveni, Ghattu V. Murray, Alison D. |
author_sort | Sandu, Anca-Larisa |
collection | PubMed |
description | Changes in brain morphology have been reported during development, ageing and in relation to different pathologies. Brain morphology described by the shape complexity of gyri and sulci can be captured and quantified using fractal dimension (FD). This measure of brain structural complexity, as well as brain volume, are associated with intelligence, but less is known about the sexual dimorphism of these relationships. In this paper, sex differences in the relationship between brain structural complexity and general intelligence (g) in two diverse geographic and cultural populations (UK and Indian) are investigated. 3D T1-weighted magnetic resonance imaging (MRI) data and a battery of cognitive tests were acquired from participants belonging to three different cohorts: Mysore Parthenon Cohort (MPC); Aberdeen Children of the 1950s (ACONF) and UK Biobank. We computed MRI derived structural brain complexity and g estimated from a battery of cognitive tests for each group. Brain complexity and volume were both positively corelated with intelligence, with the correlations being significant in women but not always in men. This relationship is seen across populations of differing ages and geographical locations and improves understanding of neurobiological sex-differences. |
format | Online Article Text |
id | pubmed-9247090 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-92470902022-07-02 Sexual dimorphism in the relationship between brain complexity, volume and general intelligence (g): a cross-cohort study Sandu, Anca-Larisa Waiter, Gordon D. Staff, Roger T. Nazlee, Nafeesa Habota, Tina McNeil, Chris J. Chapko, Dorota Williams, Justin H. Fall, Caroline H. D. Chandak, Giriraj R. Pene, Shailesh Krishna, Murali McIntosh, Andrew M. Whalley, Heather C. Kumaran, Kalyanaraman Krishnaveni, Ghattu V. Murray, Alison D. Sci Rep Article Changes in brain morphology have been reported during development, ageing and in relation to different pathologies. Brain morphology described by the shape complexity of gyri and sulci can be captured and quantified using fractal dimension (FD). This measure of brain structural complexity, as well as brain volume, are associated with intelligence, but less is known about the sexual dimorphism of these relationships. In this paper, sex differences in the relationship between brain structural complexity and general intelligence (g) in two diverse geographic and cultural populations (UK and Indian) are investigated. 3D T1-weighted magnetic resonance imaging (MRI) data and a battery of cognitive tests were acquired from participants belonging to three different cohorts: Mysore Parthenon Cohort (MPC); Aberdeen Children of the 1950s (ACONF) and UK Biobank. We computed MRI derived structural brain complexity and g estimated from a battery of cognitive tests for each group. Brain complexity and volume were both positively corelated with intelligence, with the correlations being significant in women but not always in men. This relationship is seen across populations of differing ages and geographical locations and improves understanding of neurobiological sex-differences. Nature Publishing Group UK 2022-06-30 /pmc/articles/PMC9247090/ /pubmed/35773463 http://dx.doi.org/10.1038/s41598-022-15208-4 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Sandu, Anca-Larisa Waiter, Gordon D. Staff, Roger T. Nazlee, Nafeesa Habota, Tina McNeil, Chris J. Chapko, Dorota Williams, Justin H. Fall, Caroline H. D. Chandak, Giriraj R. Pene, Shailesh Krishna, Murali McIntosh, Andrew M. Whalley, Heather C. Kumaran, Kalyanaraman Krishnaveni, Ghattu V. Murray, Alison D. Sexual dimorphism in the relationship between brain complexity, volume and general intelligence (g): a cross-cohort study |
title | Sexual dimorphism in the relationship between brain complexity, volume and general intelligence (g): a cross-cohort study |
title_full | Sexual dimorphism in the relationship between brain complexity, volume and general intelligence (g): a cross-cohort study |
title_fullStr | Sexual dimorphism in the relationship between brain complexity, volume and general intelligence (g): a cross-cohort study |
title_full_unstemmed | Sexual dimorphism in the relationship between brain complexity, volume and general intelligence (g): a cross-cohort study |
title_short | Sexual dimorphism in the relationship between brain complexity, volume and general intelligence (g): a cross-cohort study |
title_sort | sexual dimorphism in the relationship between brain complexity, volume and general intelligence (g): a cross-cohort study |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9247090/ https://www.ncbi.nlm.nih.gov/pubmed/35773463 http://dx.doi.org/10.1038/s41598-022-15208-4 |
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