Functional neuroimaging highlights sex as a critical variable in depression research

IF 8.7
Malvika Sridhar, Wiebke Struckmann, Noriah D. Johnson, Martin Tik, Cammie E. Rolle, Ian H. Kratter, Nolan R. Williams
{"title":"Functional neuroimaging highlights sex as a critical variable in depression research","authors":"Malvika Sridhar, Wiebke Struckmann, Noriah D. Johnson, Martin Tik, Cammie E. Rolle, Ian H. Kratter, Nolan R. Williams","doi":"10.1038/s44220-025-00477-5","DOIUrl":null,"url":null,"abstract":"Major depressive disorder (MDD) is a prevalent psychiatric illness marked by notable changes in mood, behavior and cognition. Emerging evidence indicates that depression can differ by sex in terms of onset, symptoms and treatment response. While modern psychiatry acknowledges sex differences in epidemiology, we are yet to identify biomarkers that could guide sex-specific interventions. Recent discoveries in MDD research point towards alterations in functional brain network patterns. This Perspective highlights the rationale for using resting-state functional magnetic resonance imaging (rs-fMRI) to identify sex differences in MDD. We present preliminary evidence for sex-based differences in depression from the limited existing rs-fMRI literature. Although limited and heterogeneous in their design, the results point towards the need for larger research studies. Furthermore, in female individuals, hormonal fluctuations during specific life phases pose a substantial risk for the onset of depressive episodes. We advocate that future studies integrate sex as an essential factor in MDD research and utilize resting-state functional connectivity to identify sex-specific neural features and biomarkers. We finally recommend ways to incorporate menstrual and reproductive cycle data into depression research to develop better diagnostic tools and personalized treatment strategies. Major depressive disorder (MDD) exhibits sex-specific differences in onset, symptoms and treatment response, yet biomarkers for guiding sex-specific interventions remain unidentified. Here the authors propose the use of resting-state functional magnetic resonance imaging to uncover sex-based neural differences in MDD, advocating for larger studies to enhance diagnostic tools and personalized treatments.","PeriodicalId":74247,"journal":{"name":"Nature mental health","volume":"3 9","pages":"974-981"},"PeriodicalIF":8.7000,"publicationDate":"2025-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nature mental health","FirstCategoryId":"1085","ListUrlMain":"https://www.nature.com/articles/s44220-025-00477-5","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Major depressive disorder (MDD) is a prevalent psychiatric illness marked by notable changes in mood, behavior and cognition. Emerging evidence indicates that depression can differ by sex in terms of onset, symptoms and treatment response. While modern psychiatry acknowledges sex differences in epidemiology, we are yet to identify biomarkers that could guide sex-specific interventions. Recent discoveries in MDD research point towards alterations in functional brain network patterns. This Perspective highlights the rationale for using resting-state functional magnetic resonance imaging (rs-fMRI) to identify sex differences in MDD. We present preliminary evidence for sex-based differences in depression from the limited existing rs-fMRI literature. Although limited and heterogeneous in their design, the results point towards the need for larger research studies. Furthermore, in female individuals, hormonal fluctuations during specific life phases pose a substantial risk for the onset of depressive episodes. We advocate that future studies integrate sex as an essential factor in MDD research and utilize resting-state functional connectivity to identify sex-specific neural features and biomarkers. We finally recommend ways to incorporate menstrual and reproductive cycle data into depression research to develop better diagnostic tools and personalized treatment strategies. Major depressive disorder (MDD) exhibits sex-specific differences in onset, symptoms and treatment response, yet biomarkers for guiding sex-specific interventions remain unidentified. Here the authors propose the use of resting-state functional magnetic resonance imaging to uncover sex-based neural differences in MDD, advocating for larger studies to enhance diagnostic tools and personalized treatments.

Abstract Image

功能性神经影像学强调性别是抑郁症研究中的一个关键变量
重度抑郁障碍(MDD)是一种普遍存在的精神疾病,其特征是情绪、行为和认知的显著变化。新出现的证据表明,抑郁症在发病、症状和治疗反应方面可能因性别而异。虽然现代精神病学承认流行病学中的性别差异,但我们尚未确定能够指导性别特异性干预的生物标志物。最近在重度抑郁症研究中的发现指向了功能性脑网络模式的改变。这一观点强调了使用静息状态功能磁共振成像(rs-fMRI)来识别重度抑郁症的性别差异的基本原理。我们从有限的现有rs-fMRI文献中提出了抑郁症性别差异的初步证据。尽管在设计上存在局限性和异质性,但结果表明需要进行更大规模的研究。此外,在女性个体中,特定生命阶段的荷尔蒙波动对抑郁发作的发作构成重大风险。我们建议未来的研究将性别作为重度抑郁症研究的重要因素,并利用静息状态功能连接来识别性别特异性的神经特征和生物标志物。我们最后推荐将月经和生殖周期数据纳入抑郁症研究的方法,以开发更好的诊断工具和个性化治疗策略。重度抑郁症(MDD)在发病、症状和治疗反应方面表现出性别特异性差异,但指导性别特异性干预的生物标志物仍未确定。在这里,作者建议使用静息状态功能磁共振成像来揭示MDD中基于性别的神经差异,提倡进行更大规模的研究,以增强诊断工具和个性化治疗。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信