Estradiol modulates resting-state connectivity in perimenopausal depression.

IF 4.9 2区 医学 Q1 CLINICAL NEUROLOGY Journal of affective disorders Pub Date : 2024-11-22 DOI:10.1016/j.jad.2024.11.068
Megan Hynd, Kathryn Gibson, Melissa Walsh, Rachel Phillips, Julianna Prim, Tory Eisenlohr-Moul, Erin Walsh, Gabriel Dichter, Crystal Schiller
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Abstract

The perimenopausal transition is marked by an increased risk for affective dysregulation and major depressive disorder (MDD), with hormone replacement therapy using estradiol (E2) showing promise for alleviating symptoms of perimenopausal-onset MDD (PO-MDD). Although E2's effectiveness is recognized, its mechanisms underlying mood symptom modulation remain to be fully elucidated. Building on previous research suggesting that E2 may influence mood by altering cortico-subcortical connectivity, this study investigated the effects of transdermal E2 on resting-state functional connectivity (rsFC) in perimenopausal women with and without PO-MDD, focusing on rsFC changes using seed regions within reward and emotion processing networks. In this pharmaco-fMRI study, 16 participants with PO-MDD and 18 controls underwent rsFC analysis before and after three weeks of transdermal E2 administration. Pre-E2 results showed that the PO-MDD group, compared to controls, exhibited increased connectivity between the right amygdala (seed) and medial prefrontal cortex and anterior cingulate cortex, and decreased connectivity with the supplementary motor area. Comparing groups on change from pre-E2 to post-E2 revealed several significant E2-induced changes in connectivity between the PO-MDD and control groups: PO-MDD showed increased connectivity between the right caudate nucleus (seed) and left insula, and decreased connectivity between the right putamen (seed) and left hippocampus, and the right amygdala (seed) and left ventromedial prefrontal cortex. Notably, changes in connectivity were predictive of symptom trajectories across anhedonia, depressive mood, somatic, and vasomotor domains in the PO-MDD group. These findings enrich our understanding of PO-MDD by highlighting distinct rsFC patterns characteristic of the disorder and their shifts in response to E2 treatment, suggesting potential neural mechanisms underlying E2's mood-modulating effects.

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雌二醇可调节围绝经期抑郁症患者的静息态连接。
围绝经过渡期的特点是情绪失调和重度抑郁症(MDD)的风险增加,使用雌二醇(E2)的激素替代疗法有望缓解围绝经期发作的重度抑郁症(PO-MDD)症状。尽管 E2 的有效性已得到认可,但其调节情绪症状的机制仍有待全面阐明。以往的研究表明,E2可能会通过改变皮质-皮质下连通性来影响情绪,在此基础上,本研究调查了经皮E2对患有和未患有PO-MDD的围绝经期女性静息态功能连通性(rsFC)的影响,重点研究了奖励和情绪处理网络中种子区域的rsFC变化。在这项药物-核磁共振成像研究中,16 名患有 PO-MDD 的患者和 18 名对照组患者在服用透皮 E2 三周前后接受了 rsFC 分析。E2前的结果显示,与对照组相比,PO-MDD组的右侧杏仁核(种子)与内侧前额叶皮层和前扣带皮层之间的连接性增强,而与辅助运动区的连接性降低。通过比较各组从 E2 前到 E2 后的变化,发现 PO-MDD 组和对照组之间的连接性在 E2 引起的几种显著变化:PO-MDD显示右侧尾状核(种子)和左侧岛叶之间的连接性增加,右侧丘脑(种子)和左侧海马之间的连接性减少,右侧杏仁核(种子)和左侧腹内侧前额叶皮层之间的连接性减少。值得注意的是,连通性的变化可预测 PO-MDD 组患者在失神、抑郁情绪、躯体和血管运动领域的症状轨迹。这些发现丰富了我们对PO-MDD的认识,突出了该病症特有的rsFC模式及其对E2治疗的反应变化,提示了E2调节情绪作用的潜在神经机制。
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来源期刊
Journal of affective disorders
Journal of affective disorders 医学-精神病学
CiteScore
10.90
自引率
6.10%
发文量
1319
审稿时长
9.3 weeks
期刊介绍: The Journal of Affective Disorders publishes papers concerned with affective disorders in the widest sense: depression, mania, mood spectrum, emotions and personality, anxiety and stress. It is interdisciplinary and aims to bring together different approaches for a diverse readership. Top quality papers will be accepted dealing with any aspect of affective disorders, including neuroimaging, cognitive neurosciences, genetics, molecular biology, experimental and clinical neurosciences, pharmacology, neuroimmunoendocrinology, intervention and treatment trials.
期刊最新文献
Editorial Board Corrigendum to "Costs and benefits of item reduction: The abridgment of the Emotional Regulation Questionnaire (ERQ)" [J. Affect. Disord. 369 (2025) 978-985]. Ages-specific beverage consumption and its association with depression and anxiety disorders: A prospective cohort study in 188,355 participants. Estradiol modulates resting-state connectivity in perimenopausal depression. Exploring the efficacy and potential of large language models for depression: A systematic review.
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