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Structural Brain Correlates of Loneliness among Older Adults

Ample evidence indicates that loneliness in old age is associated with poor bodily and mental health. However, little is known about structural cerebral correlates of loneliness in healthy older adults. We examined such correlates in a magnetic resonance imaging (MRI) subsample of 319 older adults a...

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Autores principales: Düzel, Sandra, Drewelies, Johanna, Gerstorf, Denis, Demuth, Ilja, Steinhagen-Thiessen, Elisabeth, Lindenberger, Ulman, Kühn, Simone
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6753249/
https://www.ncbi.nlm.nih.gov/pubmed/31537846
http://dx.doi.org/10.1038/s41598-019-49888-2
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author Düzel, Sandra
Drewelies, Johanna
Gerstorf, Denis
Demuth, Ilja
Steinhagen-Thiessen, Elisabeth
Lindenberger, Ulman
Kühn, Simone
author_facet Düzel, Sandra
Drewelies, Johanna
Gerstorf, Denis
Demuth, Ilja
Steinhagen-Thiessen, Elisabeth
Lindenberger, Ulman
Kühn, Simone
author_sort Düzel, Sandra
collection PubMed
description Ample evidence indicates that loneliness in old age is associated with poor bodily and mental health. However, little is known about structural cerebral correlates of loneliness in healthy older adults. We examined such correlates in a magnetic resonance imaging (MRI) subsample of 319 older adults aged 61 to 82 years drawn from the Berlin Aging Study II. Using voxel-based morphometry (VBM) and structural equation modeling (SEM), latent hierarchical regression analyses were performed to examine associations of (i) loneliness, (ii) a range of covariates, and (iii) loneliness by covariate interactions with latent brain volume estimates of brain structures known to be involved in processing, expressing, and regulating emotions. Results from whole-brain VBM analyses showed that individuals with higher loneliness scores tended to have smaller gray matter volumes in three clusters comprising (i) the left amygdala/anterior hippocampus, (ii) the left posterior parahippocampus and (iii) the left cerebellum. Significant associations and interactions between loneliness and latent factors for the amygdala and the hippocampus were confirmed with a region-of-interest (ROI)-based approach. These findings suggest that individual differences in loneliness among older adults are correlated with individual differences in the volumes of brain regions that are central to cognitive processing and emotional regulation, also after correcting for confounders such as social network size. We discuss possible mechanisms underlying these associations and their implications.
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spelling pubmed-67532492019-10-01 Structural Brain Correlates of Loneliness among Older Adults Düzel, Sandra Drewelies, Johanna Gerstorf, Denis Demuth, Ilja Steinhagen-Thiessen, Elisabeth Lindenberger, Ulman Kühn, Simone Sci Rep Article Ample evidence indicates that loneliness in old age is associated with poor bodily and mental health. However, little is known about structural cerebral correlates of loneliness in healthy older adults. We examined such correlates in a magnetic resonance imaging (MRI) subsample of 319 older adults aged 61 to 82 years drawn from the Berlin Aging Study II. Using voxel-based morphometry (VBM) and structural equation modeling (SEM), latent hierarchical regression analyses were performed to examine associations of (i) loneliness, (ii) a range of covariates, and (iii) loneliness by covariate interactions with latent brain volume estimates of brain structures known to be involved in processing, expressing, and regulating emotions. Results from whole-brain VBM analyses showed that individuals with higher loneliness scores tended to have smaller gray matter volumes in three clusters comprising (i) the left amygdala/anterior hippocampus, (ii) the left posterior parahippocampus and (iii) the left cerebellum. Significant associations and interactions between loneliness and latent factors for the amygdala and the hippocampus were confirmed with a region-of-interest (ROI)-based approach. These findings suggest that individual differences in loneliness among older adults are correlated with individual differences in the volumes of brain regions that are central to cognitive processing and emotional regulation, also after correcting for confounders such as social network size. We discuss possible mechanisms underlying these associations and their implications. Nature Publishing Group UK 2019-09-19 /pmc/articles/PMC6753249/ /pubmed/31537846 http://dx.doi.org/10.1038/s41598-019-49888-2 Text en © The Author(s) 2019 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/.
spellingShingle Article
Düzel, Sandra
Drewelies, Johanna
Gerstorf, Denis
Demuth, Ilja
Steinhagen-Thiessen, Elisabeth
Lindenberger, Ulman
Kühn, Simone
Structural Brain Correlates of Loneliness among Older Adults
title Structural Brain Correlates of Loneliness among Older Adults
title_full Structural Brain Correlates of Loneliness among Older Adults
title_fullStr Structural Brain Correlates of Loneliness among Older Adults
title_full_unstemmed Structural Brain Correlates of Loneliness among Older Adults
title_short Structural Brain Correlates of Loneliness among Older Adults
title_sort structural brain correlates of loneliness among older adults
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6753249/
https://www.ncbi.nlm.nih.gov/pubmed/31537846
http://dx.doi.org/10.1038/s41598-019-49888-2
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