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“精准医学”与探寻二元脑性别差异以解决性别行为健康差异的失败尝试

"Precision Medicine" and the Failed Search for Binary Brain Sex Differences to Address Gender Behavioral Health Disparities.

作者信息

Eliot Lise

机构信息

Chicago Medical School, Stanson Toshok Center for Brain Function and Repair, Rosalind Franklin University of Medicine & Science, North Chicago, Illinois, USA.

出版信息

Am J Hum Biol. 2025 Apr;37(4):e70041. doi: 10.1002/ajhb.70041.

Abstract

Human brain imaging took off in the 1980s and has since flooded the zone in the analysis of gender differences in behavior and mental health. Couched in the aims of "precision medicine," the vast majority of this research has taken a binary approach, dividing participants according to the M/F box at intake and asserting that the sex differences found in neuroimaging will lead to important advances for treating neuropsychiatric disorders. However, the actual findings from this 40-year project have not lived up to its promise, in part because of the over-binarization of sex and general ignorance of gender as a complex variable influencing human behavior and brain function. This paper reviews the history of failed claims about male-female brain difference in the modern era, illuminates the deep-pocketed incentives driving such research, and examines the limitations of this binary approach for understanding gender-related behavior and health disparities. It then considers more recent efforts to "break the binary" by using measures of "gender" in addition to "sex" as an independent variable in brain imaging studies. Given the multidimensional nature of gender-as identity, expression, roles and relations-this is challenging to implement, with initial efforts producing little of substance. Better approaches to addressing male-female disparities in brain health will require focusing on specific behaviors (e.g., anxiety, risk-taking, verbal memory, spatial navigation) and specific components of sex and gender (e.g., body size, hormone levels, gene expression, caregiver role, financial independence, discrimination) when seeking brain-behavior correlates in a diverse population.

摘要

人类脑成像技术始于20世纪80年代,自那时起,该技术在行为和心理健康方面的性别差异分析中大量涌现。出于“精准医学”的目的,绝大多数此类研究采用了二元方法,在招募参与者时根据男性/女性的类别进行划分,并断言神经影像学中发现的性别差异将为治疗神经精神疾病带来重大进展。然而,这个长达40年项目的实际研究结果并未达到预期,部分原因是性别过度二元化,以及普遍忽视性别作为影响人类行为和脑功能的复杂变量。本文回顾了现代关于男女脑差异的错误论断的历史,揭示了推动此类研究的雄厚资金激励因素,并审视了这种二元方法在理解与性别相关的行为和健康差异方面的局限性。然后,本文考虑了最近在脑成像研究中通过将“性别”测量作为除“性”之外的自变量来“打破二元”的努力。鉴于性别在身份、表达、角色和关系方面的多维度性质,这一做法实施起来具有挑战性,初步努力成效甚微。在不同人群中寻找脑与行为的关联时,解决男女脑健康差异的更好方法将需要关注特定行为(如焦虑、冒险、言语记忆、空间导航)以及性和性别的特定组成部分(如体型、激素水平、基因表达、照顾者角色、经济独立、歧视)。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/db2d/11983668/22040e9d2bcb/AJHB-37-e70041-g001.jpg

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