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考虑到神经影像学研究中社会身份的相互关联性质。

Considering the interconnected nature of social identities in neuroimaging research.

作者信息

Dhamala Elvisha, Ricard Jocelyn A, Uddin Lucina Q, Galea Liisa A M, Jacobs Emily G, Yip Sarah W, Yeo B T Thomas, Chakravarty M Mallar, Holmes Avram J

机构信息

Feinstein Institutes for Medical Research, Manhasset, NY, USA.

Stanford University School of Medicine, Stanford, CA, USA.

出版信息

Nat Neurosci. 2025 Feb;28(2):222-233. doi: 10.1038/s41593-024-01832-y. Epub 2024 Dec 27.

Abstract

Considerable heterogeneity exists in the expression of complex human behaviors across the cognitive, personality and mental health domains. It is increasingly evident that individual variability in behavioral expression is substantially affected by sociodemographic factors that often interact with life experiences. Here, we formally address the urgent need to incorporate intersectional identities in neuroimaging studies of behavior, with a focus on research in mental health. We highlight how diverse sociodemographic factors influence the study of psychiatric conditions, focusing on how interactions between those factors might contribute to brain biology and illness expression, including prevalence, symptom burden, help seeking, treatment response and tolerance, and relapse and remission. We conclude with a discussion of the considerations and actionable items related to participant recruitment, data acquisition and data analysis to facilitate the inclusion and incorporation of diverse intersectional identities in neuroimaging.

摘要

在认知、人格和心理健康领域,复杂人类行为的表达存在相当大的异质性。越来越明显的是,行为表达的个体差异在很大程度上受到社会人口统计学因素的影响,这些因素往往与生活经历相互作用。在这里,我们正式探讨在行为神经影像学研究中纳入交叉身份的迫切需求,重点是心理健康研究。我们强调了不同的社会人口统计学因素如何影响精神疾病的研究,重点关注这些因素之间的相互作用如何影响大脑生物学和疾病表现,包括患病率、症状负担、寻求帮助、治疗反应和耐受性,以及复发和缓解。我们最后讨论了与参与者招募、数据采集和数据分析相关的考虑因素和可操作项目,以促进在神经影像学中纳入和整合不同的交叉身份。

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