Patrick J Pruitt, Kexin Yu, David Lahna, Daniel Schwartz, Scott Peltier, Lisa Silbert, Hiroko Dodge
{"title":"Emotional characteristics and intrinsic brain network functional connectivity among adults aged 75.","authors":"Patrick J Pruitt, Kexin Yu, David Lahna, Daniel Schwartz, Scott Peltier, Lisa Silbert, Hiroko Dodge","doi":"10.1093/scan/nsaf017","DOIUrl":null,"url":null,"abstract":"<p><p>Despite having a meaningful impact on quality of life, emotional well-being is often understudied in older adults in favor of cognitive performance, particularly when examining association with neurobiological function. Socially-isolated older adults have poorer emotional health than their non-isolated peers and are at increased risk of dementia. Characterizing neurobiological correlates of emotional characteristics in this population may help elucidate pathways which link social isolation and dementia risk. In a sample of 50 socially-isolated older adults aged 75+ years (\"older-old\"; 30 with mild cognitive impairment; 20 with unimpaired cognition), we use the NIH Toolbox Emotion Battery (NIHTB-EB) to examine associations between emotional characteristics and fMRI-derived intrinsic brain network functional connectivity. We found a positive association between the default mode network (DMN) connectivity and negative affect. Amygdala-ventromedial prefrontal cortex connectivity was negatively associated with psychological well-being, and positively associated with negative affect. These results did not survive correction for multiple comparisons. These findings replicate, in a sample of socially-isolated older-old adults, previous work highlighting the relationship between amygdala-vmPFC connectivity and individual differences in emotional health, with more inverse connectivity associated with better emotional characteristics.</p>","PeriodicalId":94208,"journal":{"name":"Social cognitive and affective neuroscience","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Social cognitive and affective neuroscience","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1093/scan/nsaf017","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
Despite having a meaningful impact on quality of life, emotional well-being is often understudied in older adults in favor of cognitive performance, particularly when examining association with neurobiological function. Socially-isolated older adults have poorer emotional health than their non-isolated peers and are at increased risk of dementia. Characterizing neurobiological correlates of emotional characteristics in this population may help elucidate pathways which link social isolation and dementia risk. In a sample of 50 socially-isolated older adults aged 75+ years ("older-old"; 30 with mild cognitive impairment; 20 with unimpaired cognition), we use the NIH Toolbox Emotion Battery (NIHTB-EB) to examine associations between emotional characteristics and fMRI-derived intrinsic brain network functional connectivity. We found a positive association between the default mode network (DMN) connectivity and negative affect. Amygdala-ventromedial prefrontal cortex connectivity was negatively associated with psychological well-being, and positively associated with negative affect. These results did not survive correction for multiple comparisons. These findings replicate, in a sample of socially-isolated older-old adults, previous work highlighting the relationship between amygdala-vmPFC connectivity and individual differences in emotional health, with more inverse connectivity associated with better emotional characteristics.