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人类大脑的性别二态性:来自神经影像学的证据。

Sexual dimorphism in the human brain: evidence from neuroimaging.

机构信息

Max-Planck-Institute for Human Cognitive and Brain Sciences, Stephanstrasse 1A, Leipzig, Germany.

出版信息

Magn Reson Imaging. 2013 Apr;31(3):366-75. doi: 10.1016/j.mri.2012.06.007. Epub 2012 Aug 22.

Abstract

In recent years, more and more emphasis has been placed on the investigation of sex differences in the human brain. Noninvasive neuroimaging techniques represent an essential tool in the effort to better understand the effects of sex on both brain structure and function. In this review, we provide a comprehensive summary of the findings that were collected in human neuroimaging studies in vivo thus far: we explore sexual dimorphism in the human brain at the level of (1) brain structure, in both gray and white matter, observed by voxel-based morphometry (VBM) and diffusion tensor imaging (DTI), respectively; (2) baseline neural activity, studied using resting-state functional magnetic resonance imaging (rs-fMRI) and positron emission tomography (PET); (3) neurochemistry, visualized by means of neuroreceptor ligand PET; and (4) task-related neural activation, investigated using fMRI. Functional MRI findings from the literature are complemented by our own meta-analysis of fMRI studies on sex-specific differences in human emotional processing. Specifically, we used activation likelihood estimation (ALE) to provide a quantitative approach to mapping the consistency of neural networks involved in emotional processing across studies. The presented evidence for sex-specific differences in neural structure and function highlights the importance of modeling sex as a contributing factor in the analysis of brain-related data.

摘要

近年来,人们越来越重视研究人类大脑中的性别差异。非侵入性神经影像学技术是更好地了解性别对大脑结构和功能影响的重要工具。在这篇综述中,我们全面总结了迄今为止在人体神经影像学研究中收集到的发现:我们探索了基于体素的形态测量学 (VBM) 和弥散张量成像 (DTI) 分别观察到的灰质和白质水平上的人脑结构中的性别二态性;使用静息态功能磁共振成像 (rs-fMRI) 和正电子发射断层扫描 (PET) 研究的基线神经活动;通过神经受体配体 PET 可视化的神经化学;以及使用 fMRI 研究的任务相关神经激活。文献中的功能磁共振成像发现由我们自己对人类情感处理中性别特异性差异的 fMRI 研究的荟萃分析补充。具体来说,我们使用激活似然估计 (ALE) 为跨研究映射情感处理相关神经网络一致性提供了一种定量方法。这些关于神经结构和功能的性别特异性差异的证据强调了在分析与大脑相关的数据时将性别建模为一个影响因素的重要性。

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