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A meta-analysis of sex differences in human brain structure()

The prevalence, age of onset, and symptomatology of many neuropsychiatric conditions differ between males and females. To understand the causes and consequences of sex differences it is important to establish where they occur in the human brain. We report the first meta-analysis of typical sex diffe...

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Autores principales: Ruigrok, Amber N.V., Salimi-Khorshidi, Gholamreza, Lai, Meng-Chuan, Baron-Cohen, Simon, Lombardo, Michael V., Tait, Roger J., Suckling, John
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Pergamon Press 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3969295/
https://www.ncbi.nlm.nih.gov/pubmed/24374381
http://dx.doi.org/10.1016/j.neubiorev.2013.12.004
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author Ruigrok, Amber N.V.
Salimi-Khorshidi, Gholamreza
Lai, Meng-Chuan
Baron-Cohen, Simon
Lombardo, Michael V.
Tait, Roger J.
Suckling, John
author_facet Ruigrok, Amber N.V.
Salimi-Khorshidi, Gholamreza
Lai, Meng-Chuan
Baron-Cohen, Simon
Lombardo, Michael V.
Tait, Roger J.
Suckling, John
author_sort Ruigrok, Amber N.V.
collection PubMed
description The prevalence, age of onset, and symptomatology of many neuropsychiatric conditions differ between males and females. To understand the causes and consequences of sex differences it is important to establish where they occur in the human brain. We report the first meta-analysis of typical sex differences on global brain volume, a descriptive account of the breakdown of studies of each compartmental volume by six age categories, and whole-brain voxel-wise meta-analyses on brain volume and density. Gaussian-process regression coordinate-based meta-analysis was used to examine sex differences in voxel-based regional volume and density. On average, males have larger total brain volumes than females. Examination of the breakdown of studies providing total volumes by age categories indicated a bias towards the 18–59 year-old category. Regional sex differences in volume and tissue density include the amygdala, hippocampus and insula, areas known to be implicated in sex-biased neuropsychiatric conditions. Together, these results suggest candidate regions for investigating the asymmetric effect that sex has on the developing brain, and for understanding sex-biased neurological and psychiatric conditions.
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spelling pubmed-39692952014-03-31 A meta-analysis of sex differences in human brain structure() Ruigrok, Amber N.V. Salimi-Khorshidi, Gholamreza Lai, Meng-Chuan Baron-Cohen, Simon Lombardo, Michael V. Tait, Roger J. Suckling, John Neurosci Biobehav Rev Article The prevalence, age of onset, and symptomatology of many neuropsychiatric conditions differ between males and females. To understand the causes and consequences of sex differences it is important to establish where they occur in the human brain. We report the first meta-analysis of typical sex differences on global brain volume, a descriptive account of the breakdown of studies of each compartmental volume by six age categories, and whole-brain voxel-wise meta-analyses on brain volume and density. Gaussian-process regression coordinate-based meta-analysis was used to examine sex differences in voxel-based regional volume and density. On average, males have larger total brain volumes than females. Examination of the breakdown of studies providing total volumes by age categories indicated a bias towards the 18–59 year-old category. Regional sex differences in volume and tissue density include the amygdala, hippocampus and insula, areas known to be implicated in sex-biased neuropsychiatric conditions. Together, these results suggest candidate regions for investigating the asymmetric effect that sex has on the developing brain, and for understanding sex-biased neurological and psychiatric conditions. Pergamon Press 2014-02 /pmc/articles/PMC3969295/ /pubmed/24374381 http://dx.doi.org/10.1016/j.neubiorev.2013.12.004 Text en © 2014 The Authors http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Article
Ruigrok, Amber N.V.
Salimi-Khorshidi, Gholamreza
Lai, Meng-Chuan
Baron-Cohen, Simon
Lombardo, Michael V.
Tait, Roger J.
Suckling, John
A meta-analysis of sex differences in human brain structure()
title A meta-analysis of sex differences in human brain structure()
title_full A meta-analysis of sex differences in human brain structure()
title_fullStr A meta-analysis of sex differences in human brain structure()
title_full_unstemmed A meta-analysis of sex differences in human brain structure()
title_short A meta-analysis of sex differences in human brain structure()
title_sort meta-analysis of sex differences in human brain structure()
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3969295/
https://www.ncbi.nlm.nih.gov/pubmed/24374381
http://dx.doi.org/10.1016/j.neubiorev.2013.12.004
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