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Neuroimaging-derived brain age is associated with life satisfaction in cognitively unimpaired elderly: A community-based study
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...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8776862/ https://www.ncbi.nlm.nih.gov/pubmed/35058431 http://dx.doi.org/10.1038/s41398-022-01793-5 |
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author | Sone, Daichi Beheshti, Iman Shinagawa, Shunichiro Niimura, Hidehito Kobayashi, Nobuyuki Kida, Hisashi Shikimoto, Ryo Noda, Yoshihiro Nakajima, Shinichiro Bun, Shogyoku Mimura, Masaru Shigeta, Masahiro |
author_facet | Sone, Daichi Beheshti, Iman Shinagawa, Shunichiro Niimura, Hidehito Kobayashi, Nobuyuki Kida, Hisashi Shikimoto, Ryo Noda, Yoshihiro Nakajima, Shinichiro Bun, Shogyoku Mimura, Masaru Shigeta, Masahiro |
author_sort | Sone, Daichi |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-8776862 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-87768622022-02-04 Neuroimaging-derived brain age is associated with life satisfaction in cognitively unimpaired elderly: A community-based study Sone, Daichi Beheshti, Iman Shinagawa, Shunichiro Niimura, Hidehito Kobayashi, Nobuyuki Kida, Hisashi Shikimoto, Ryo Noda, Yoshihiro Nakajima, Shinichiro Bun, Shogyoku Mimura, Masaru Shigeta, Masahiro Transl Psychiatry Article 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. Nature Publishing Group UK 2022-01-20 /pmc/articles/PMC8776862/ /pubmed/35058431 http://dx.doi.org/10.1038/s41398-022-01793-5 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Sone, Daichi Beheshti, Iman Shinagawa, Shunichiro Niimura, Hidehito Kobayashi, Nobuyuki Kida, Hisashi Shikimoto, Ryo Noda, Yoshihiro Nakajima, Shinichiro Bun, Shogyoku Mimura, Masaru Shigeta, Masahiro Neuroimaging-derived brain age is associated with life satisfaction in cognitively unimpaired elderly: A community-based study |
title | Neuroimaging-derived brain age is associated with life satisfaction in cognitively unimpaired elderly: A community-based study |
title_full | Neuroimaging-derived brain age is associated with life satisfaction in cognitively unimpaired elderly: A community-based study |
title_fullStr | Neuroimaging-derived brain age is associated with life satisfaction in cognitively unimpaired elderly: A community-based study |
title_full_unstemmed | Neuroimaging-derived brain age is associated with life satisfaction in cognitively unimpaired elderly: A community-based study |
title_short | Neuroimaging-derived brain age is associated with life satisfaction in cognitively unimpaired elderly: A community-based study |
title_sort | neuroimaging-derived brain age is associated with life satisfaction in cognitively unimpaired elderly: a community-based study |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8776862/ https://www.ncbi.nlm.nih.gov/pubmed/35058431 http://dx.doi.org/10.1038/s41398-022-01793-5 |
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