{"title":"Increased functional integration of emotional control network across the adult lifespan","authors":"Leona Rahel Bätz, Shuer Ye, Melissa Schubbert, Xiaqing Lan, Maryam Ziaei","doi":"10.1016/j.nbas.2026.100156","DOIUrl":null,"url":null,"abstract":"<div><div>Emotional well-being has often been shown to improve across the adult lifespan. The corresponding effects, however, in the emotion regulation brain networks remain underexplored. By utilizing large-scale datasets such as the Human Connectome Project (HCP-Aging, N = 621, 349 females) and Cambridge Centre for Ageing and Neuroscience (Cam-CAN, N = 333, 155 females), we were able to investigate how emotion regulation networks’ functional topography differs across the entire adult lifespan. Based on previous <em>meta</em>-analytic work that identified four large-scale functional brain networks involved in emotion generation and regulation, we investigated the association between the integration of these emotion regulation networks and measures of mental well-being with age in the HCP-Aging dataset. We found an increased functional integration of the emotional control network among older adults, which was replicated using the Cam-CAN dataset. Further we found that the interoceptive network, which is mediating emotion generative and regulative processes and carries our introspective and reflective functions, is less integrated in higher age. Our study highlights the importance of identifying topological changes in the functional emotion network architecture across the lifespan, as it allows for a better understanding of functional brain network alterations that accompany emotional aging.</div></div>","PeriodicalId":72131,"journal":{"name":"Aging brain","volume":"9 ","pages":"Article 100156"},"PeriodicalIF":2.8000,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Aging brain","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2589958926000010","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2026/3/2 0:00:00","PubModel":"Epub","JCR":"Q3","JCRName":"CLINICAL NEUROLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Emotional well-being has often been shown to improve across the adult lifespan. The corresponding effects, however, in the emotion regulation brain networks remain underexplored. By utilizing large-scale datasets such as the Human Connectome Project (HCP-Aging, N = 621, 349 females) and Cambridge Centre for Ageing and Neuroscience (Cam-CAN, N = 333, 155 females), we were able to investigate how emotion regulation networks’ functional topography differs across the entire adult lifespan. Based on previous meta-analytic work that identified four large-scale functional brain networks involved in emotion generation and regulation, we investigated the association between the integration of these emotion regulation networks and measures of mental well-being with age in the HCP-Aging dataset. We found an increased functional integration of the emotional control network among older adults, which was replicated using the Cam-CAN dataset. Further we found that the interoceptive network, which is mediating emotion generative and regulative processes and carries our introspective and reflective functions, is less integrated in higher age. Our study highlights the importance of identifying topological changes in the functional emotion network architecture across the lifespan, as it allows for a better understanding of functional brain network alterations that accompany emotional aging.
情绪健康经常被证明在成年后会得到改善。然而,在情绪调节的大脑网络中,相应的影响仍未得到充分的探索。通过利用大规模的数据集,如人类连接组项目(HCP-Aging, N = 621, 349名女性)和剑桥老龄化和神经科学中心(Cam-CAN, N = 333, 155名女性),我们能够研究情绪调节网络的功能形态在整个成人生命周期中的差异。基于先前的元分析工作,我们确定了四个参与情绪产生和调节的大规模功能性大脑网络,我们在HCP-Aging数据集中研究了这些情绪调节网络的整合与年龄心理健康指标之间的关系。我们发现,老年人情绪控制网络的功能整合有所增加,这一点在Cam-CAN数据集上得到了重复。此外,我们还发现,调节情绪生成和调节过程并具有内省和反思功能的内感受网络在年龄越大,整合程度越低。我们的研究强调了在整个生命周期中识别功能性情绪网络结构拓扑变化的重要性,因为它可以更好地理解伴随情绪衰老的功能性大脑网络变化。