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Contributing factors to advanced brain aging in depression and anxiety disorders
Depression and anxiety are common and often comorbid mental health disorders that represent risk factors for aging-related conditions. Brain aging has shown to be more advanced in patients with major depressive disorder (MDD). Here, we extend prior work by investigating multivariate brain aging in p...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8295382/ https://www.ncbi.nlm.nih.gov/pubmed/34290222 http://dx.doi.org/10.1038/s41398-021-01524-2 |
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author | Han, Laura K. M. Schnack, Hugo G. Brouwer, Rachel M. Veltman, Dick J. van der Wee, Nic J. A. van Tol, Marie-José Aghajani, Moji Penninx, Brenda W. J. H. |
author_facet | Han, Laura K. M. Schnack, Hugo G. Brouwer, Rachel M. Veltman, Dick J. van der Wee, Nic J. A. van Tol, Marie-José Aghajani, Moji Penninx, Brenda W. J. H. |
author_sort | Han, Laura K. M. |
collection | PubMed |
description | Depression and anxiety are common and often comorbid mental health disorders that represent risk factors for aging-related conditions. Brain aging has shown to be more advanced in patients with major depressive disorder (MDD). Here, we extend prior work by investigating multivariate brain aging in patients with MDD, anxiety disorders, or both, and examine which factors contribute to older-appearing brains. Adults aged 18–57 years from the Netherlands Study of Depression and Anxiety underwent structural MRI. A pretrained brain-age prediction model based on >2000 samples from the ENIGMA consortium was applied to obtain brain-predicted age differences (brain PAD, predicted brain age minus chronological age) in 65 controls and 220 patients with current MDD and/or anxiety. Brain-PAD estimates were associated with clinical, somatic, lifestyle, and biological factors. After correcting for antidepressant use, brain PAD was significantly higher in MDD (+2.78 years, Cohen’s d = 0.25, 95% CI −0.10-0.60) and anxiety patients (+2.91 years, Cohen’s d = 0.27, 95% CI −0.08-0.61), compared with controls. There were no significant associations with lifestyle or biological stress systems. A multivariable model indicated unique contributions of higher severity of somatic depression symptoms (b = 4.21 years per unit increase on average sum score) and antidepressant use (−2.53 years) to brain PAD. Advanced brain aging in patients with MDD and anxiety was most strongly associated with somatic depressive symptomatology. We also present clinically relevant evidence for a potential neuroprotective antidepressant effect on the brain-PAD metric that requires follow-up in future research. |
format | Online Article Text |
id | pubmed-8295382 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-82953822021-08-05 Contributing factors to advanced brain aging in depression and anxiety disorders Han, Laura K. M. Schnack, Hugo G. Brouwer, Rachel M. Veltman, Dick J. van der Wee, Nic J. A. van Tol, Marie-José Aghajani, Moji Penninx, Brenda W. J. H. Transl Psychiatry Article Depression and anxiety are common and often comorbid mental health disorders that represent risk factors for aging-related conditions. Brain aging has shown to be more advanced in patients with major depressive disorder (MDD). Here, we extend prior work by investigating multivariate brain aging in patients with MDD, anxiety disorders, or both, and examine which factors contribute to older-appearing brains. Adults aged 18–57 years from the Netherlands Study of Depression and Anxiety underwent structural MRI. A pretrained brain-age prediction model based on >2000 samples from the ENIGMA consortium was applied to obtain brain-predicted age differences (brain PAD, predicted brain age minus chronological age) in 65 controls and 220 patients with current MDD and/or anxiety. Brain-PAD estimates were associated with clinical, somatic, lifestyle, and biological factors. After correcting for antidepressant use, brain PAD was significantly higher in MDD (+2.78 years, Cohen’s d = 0.25, 95% CI −0.10-0.60) and anxiety patients (+2.91 years, Cohen’s d = 0.27, 95% CI −0.08-0.61), compared with controls. There were no significant associations with lifestyle or biological stress systems. A multivariable model indicated unique contributions of higher severity of somatic depression symptoms (b = 4.21 years per unit increase on average sum score) and antidepressant use (−2.53 years) to brain PAD. Advanced brain aging in patients with MDD and anxiety was most strongly associated with somatic depressive symptomatology. We also present clinically relevant evidence for a potential neuroprotective antidepressant effect on the brain-PAD metric that requires follow-up in future research. Nature Publishing Group UK 2021-07-21 /pmc/articles/PMC8295382/ /pubmed/34290222 http://dx.doi.org/10.1038/s41398-021-01524-2 Text en © The Author(s) 2021 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 Han, Laura K. M. Schnack, Hugo G. Brouwer, Rachel M. Veltman, Dick J. van der Wee, Nic J. A. van Tol, Marie-José Aghajani, Moji Penninx, Brenda W. J. H. Contributing factors to advanced brain aging in depression and anxiety disorders |
title | Contributing factors to advanced brain aging in depression and anxiety disorders |
title_full | Contributing factors to advanced brain aging in depression and anxiety disorders |
title_fullStr | Contributing factors to advanced brain aging in depression and anxiety disorders |
title_full_unstemmed | Contributing factors to advanced brain aging in depression and anxiety disorders |
title_short | Contributing factors to advanced brain aging in depression and anxiety disorders |
title_sort | contributing factors to advanced brain aging in depression and anxiety disorders |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8295382/ https://www.ncbi.nlm.nih.gov/pubmed/34290222 http://dx.doi.org/10.1038/s41398-021-01524-2 |
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