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性与大脑之间的复杂关系。

The Complex Relationships between Sex and the Brain.

机构信息

School of Psychological Sciences and Sagol School of Neuroscience, Tel Aviv University, Tel Aviv, Israel.

Netherlands Institute for Neuroscience, Amsterdam, An Institute of the Royal Netherlands Academy of Arts and Sciences, KNAW, Amsterdam, the Netherlands.

出版信息

Neuroscientist. 2020 Apr;26(2):156-169. doi: 10.1177/1073858419867298. Epub 2019 Sep 11.

Abstract

In the past decennia, our understanding of the sexual differentiation of the mammalian brain has dramatically changed. The simple model according to which testosterone masculinizes the brain of males away from a default female form, was replaced with a complex scenario, according to which sex effects on the brain of both females and males are exerted by genetic, hormonal, and environmental factors. These factors act via multiple partly independent mechanisms that may vary according to internal and external factors. These observations led to the "mosaic" hypothesis-the expectation of high variability in the degree of "maleness"/"femaleness" of different features within a single brain. Here, we briefly review animal data that form the basis of current understanding of sexual differentiation; present, in this context, the results of co-analyses of human brain measures obtained by magnetic resonance imaging or postmortem; discuss criticisms and controversies of the mosaic hypothesis and implications for research; and conclude that co-analysis of several (preferably, many) features and going back from the group level to that of the individual would advance our understanding of the relations between sex and the brain in health and disease.

摘要

在过去的几十年中,我们对哺乳动物大脑性分化的理解发生了巨大变化。简单的模型认为,睾酮使雄性的大脑从默认的女性模式男性化,而现在这个模型已经被取代,取而代之的是一个复杂的情景,即性对女性和男性大脑的影响是由遗传、激素和环境因素共同作用的。这些因素通过多种部分独立的机制发挥作用,这些机制可能因内部和外部因素而有所不同。这些观察结果导致了“镶嵌”假说的产生,即预期在单个大脑的不同特征中,“男性化”/“女性化”的程度存在高度的可变性。在这里,我们简要回顾了形成当前对性分化理解基础的动物数据;在这个背景下,我们呈现了通过磁共振成像或死后获得的人类大脑测量值的联合分析结果;讨论了对镶嵌假说的批评和争议,以及对研究的影响;并得出结论,对几个(最好是许多)特征进行联合分析,并从群体水平回归到个体水平,将有助于我们理解健康和疾病状态下性别与大脑之间的关系。

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