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性别是重大脑疾病神经影像学表型的一个决定性特征。

Sex is a defining feature of neuroimaging phenotypes in major brain disorders.

机构信息

Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, Marina del Rey, California, USA.

出版信息

Hum Brain Mapp. 2022 Jan;43(1):500-542. doi: 10.1002/hbm.25438. Epub 2021 May 5.

Abstract

Sex is a biological variable that contributes to individual variability in brain structure and behavior. Neuroimaging studies of population-based samples have identified normative differences in brain structure between males and females, many of which are exacerbated in psychiatric and neurological conditions. Still, sex differences in MRI outcomes are understudied, particularly in clinical samples with known sex differences in disease risk, prevalence, and expression of clinical symptoms. Here we review the existing literature on sex differences in adult brain structure in normative samples and in 14 distinct psychiatric and neurological disorders. We discuss commonalities and sources of variance in study designs, analysis procedures, disease subtype effects, and the impact of these factors on MRI interpretation. Lastly, we identify key problems in the neuroimaging literature on sex differences and offer potential recommendations to address current barriers and optimize rigor and reproducibility. In particular, we emphasize the importance of large-scale neuroimaging initiatives such as the Enhancing NeuroImaging Genetics through Meta-Analyses consortium, the UK Biobank, Human Connectome Project, and others to provide unprecedented power to evaluate sex-specific phenotypes in major brain diseases.

摘要

性别是一个生物学变量,它导致大脑结构和行为的个体差异。基于人群的神经影像学研究已经确定了男性和女性之间大脑结构的正常差异,其中许多差异在精神和神经疾病中更为严重。尽管如此,MRI 结果的性别差异仍研究不足,特别是在具有已知疾病风险、患病率和临床表现性别差异的临床样本中。在这里,我们回顾了正常样本和 14 种不同的精神和神经疾病中成年人大脑结构的性别差异的现有文献。我们讨论了研究设计、分析程序、疾病亚型效应以及这些因素对 MRI 解释的影响方面的共同性和方差来源。最后,我们确定了性别差异神经影像学文献中的关键问题,并提出了潜在的建议来解决当前的障碍,提高严谨性和可重复性。特别是,我们强调了大型神经影像学计划(如通过荟萃分析增强神经影像学遗传学计划、英国生物银行、人类连接组计划等)的重要性,这些计划为评估主要脑部疾病中的性别特异性表型提供了前所未有的力量。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5898/8805690/24a85eab07d1/HBM-43-500-g001.jpg

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