ArticleTranslational psychiatry2022
Neuroimaging-derived brain age is associated with life satisfaction in cognitively unimpaired elderly: A community-based study.
Article in Translational psychiatry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 2 of them syntheses that pooled it.
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Who cites it
19 citing papers in PubMed, 2 syntheses or guidelines pooled it, 27 citations in OpenAlex.
- Application of machine learning in measurement of ageing and geriatric diseases: a systematic review.BMC geriatrics · 2023Pooled it
- Cardiometabolic risk factors and brain age: a meta-analysis to quantify brain structural differences related to diabetes, hypertension, and obesity.Journal of psychiatry & neuroscience : JPNPooled it
- Predictive values of pre-treatment brain age models to rTMS effects in neurocognitive disorder with depression: Secondary analysis of a randomised sham-controlled clinical trial.Dialogues in clinical neuroscience · 2024Trial
- Metabolic syndrome is associated with accelerated brain aging.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026Article
- Promoting healthy aging in occupational settings: satisfaction with life as a strategic target in the Semmelweis-EUniWell framework.GeroScience · 2026Review
- Resilience and Social Support as Predictors of Life Satisfaction in Healthy Older Adults: A Moderation Analysis.Actas espanolas de psiquiatria · 2026Article
- Volumetric Changes in Cerebellar Transverse Zones: Age and Sex Effects in Health and Neurological Disorders.Human brain mapping · 2025Article
- Neuropsychiatric symptoms and neuroimaging-based brain age in mild cognitive impairment and early dementia: A multicenter study.Psychiatry and clinical neurosciences · 2025Article
- Correlation of ageing with Health related-quality of life of patients in 13 groups of disease in Poland.Scientific reports · 2024Article
- Diabetes, Prediabetes, and Brain Aging: The Role of Healthy Lifestyle.Diabetes care · 2024Article
- Brain-age prediction: Systematic evaluation of site effects, and sample age range and size.Human brain mapping · 2024Article
- Prevalence and risk factors of subjective cognitive decline in older adults in Baotou, China: a cross-sectional study.Frontiers in aging neuroscience · 2024Article
- Toward MR protocol-agnostic, unbiased brain age predicted from clinical-grade MRIs.Scientific reports · 2023Article
- Neuroanatomical profile of BMI implicates impulsive delay discounting and general cognitive ability.Obesity (Silver Spring, Md.) · 2023Article
- Toward MR protocol-agnostic, bias-corrected brain age predicted from clinical-grade MRIs.Research square · 2023Article
- Age and Sex-Related Effects on Single-Subject Gray Matter Networks in Healthy Participants.Journal of personalized medicine · 2023Article
- Bio-psycho-social factors' associations with brain age: a large-scale UK Biobank diffusion study of 35,749 participants.Frontiers in psychology · 2023Article
- Article
- Neuroimaging-Based Brain Age Estimation: A Promising Personalized Biomarker in Neuropsychiatry.Journal of personalized medicine · 2022Review
Corrections and comments
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Authors and funding
12 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
With the widespread increase in elderly populations, the quality of life and mental health in old age are issues of great interest. The human brain changes with age, and the brain aging process is biologically complex and varies widely among individuals. In this cross-sectional study, to clarify the effects of mental health, as well as common metabolic factors (e.g., diabetes) on healthy brain aging in late life, we analyzed structural brain MRI findings to examine the relationship between predicted brain age and life satisfaction, depressive symptoms, resilience, and lifestyle-related factors in elderly community-living individuals with unimpaired cognitive function. We extracted data from a community-based cohort study in Arakawa Ward, Tokyo. T1-weighted images of 773 elderly participants aged ≥65 years were analyzed, and the predicted brain age of each subject was calculated by machine learning from anatomically standardized gray-matter images. Specifically, we examined the relationships between the brain-predicted age difference (Brain-PAD: real age subtracted from predicted age) and life satisfaction, depressive symptoms, resilience, alcohol consumption, smoking, diabetes, hypertension, and dyslipidemia. Brain-PAD showed significant negative correlations with life satisfaction (Spearman's rs= -0.102, p = 0.005) and resilience (rs= -0.105, p = 0.004). In a multiple regression analysis, life satisfaction (p = 0.038), alcohol use (p = 0.040), and diabetes (p = 0.002) were independently correlated with Brain-PAD. Thus, in the cognitively unimpaired elderly, higher life satisfaction was associated with a 'younger' brain, whereas diabetes and alcohol use had negative impacts on life satisfaction. Subjective life satisfaction, as well as the prevention of diabetes and alcohol use, may protect the brain from accelerated aging.
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