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人类大脑结构性别差异的荟萃分析。

A meta-analysis of sex differences in human brain structure.

机构信息

Autism Research Centre, Department of Psychiatry, University of Cambridge, Douglas House, 18B Trumpington Road, Cambridge CB2 8AH, United Kingdom.

Centre for Functional MRI of the Brain (FMRIB), Nuffield Department of Clinical Neurosciences, University of Oxford, John Radcliffe Hospital, Oxford OX3 9DU, United Kingdom.

出版信息

Neurosci Biobehav Rev. 2014 Feb;39(100):34-50. doi: 10.1016/j.neubiorev.2013.12.004. Epub 2013 Dec 26.

Abstract

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.

摘要

许多神经精神疾病的患病率、发病年龄和症状在男性和女性之间存在差异。为了了解性别差异的原因和后果,重要的是要确定它们在人类大脑中的发生位置。我们报告了关于全球脑容量的典型性别差异的首次荟萃分析,这是对每个隔室体积的研究按六个年龄类别进行细分的描述性说明,以及对脑容量和密度进行全脑体素水平的荟萃分析。使用高斯过程回归坐标基荟萃分析来检查基于体素的区域体积和密度的性别差异。平均而言,男性的总脑容量大于女性。对按年龄类别提供总容量的研究进行细分表明,存在偏向 18-59 岁年龄组的偏见。在体积和组织密度方面的区域性别差异包括杏仁核、海马体和脑岛,这些区域已知与性别偏倚的神经精神疾病有关。综上所述,这些结果表明了候选区域,可用于研究性别对发育中大脑的不对称影响,并用于了解性别偏倚的神经和精神疾病。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8dab/3969295/d1692401bac5/gr1.jpg

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