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Quantitative neurobiological evidence for accelerated brain aging in alcohol dependence
The premature aging hypothesis of alcohol dependence proposes that the neurobiological and behavioural deficits in individuals with alcohol dependence are analogous to those of chronological aging. However, to date no systematic neurobiological evidence for this hypothesis has been provided. To test...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5802586/ https://www.ncbi.nlm.nih.gov/pubmed/29225356 http://dx.doi.org/10.1038/s41398-017-0037-y |
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author | Guggenmos, Matthias Schmack, Katharina Sekutowicz, Maria Garbusow, Maria Sebold, Miriam Sommer, Christian Smolka, Michael N. Wittchen, Hans-Ulrich Zimmermann, Ulrich S. Heinz, Andreas Sterzer, Philipp |
author_facet | Guggenmos, Matthias Schmack, Katharina Sekutowicz, Maria Garbusow, Maria Sebold, Miriam Sommer, Christian Smolka, Michael N. Wittchen, Hans-Ulrich Zimmermann, Ulrich S. Heinz, Andreas Sterzer, Philipp |
author_sort | Guggenmos, Matthias |
collection | PubMed |
description | The premature aging hypothesis of alcohol dependence proposes that the neurobiological and behavioural deficits in individuals with alcohol dependence are analogous to those of chronological aging. However, to date no systematic neurobiological evidence for this hypothesis has been provided. To test the hypothesis, 119 alcohol-dependent subjects and 97 age- and gender-matched healthy control subjects underwent structural MRI. Whole-brain grey matter volume maps were computed from structural MRI scans using voxel-based morphometry and parcelled into a comprehensive set of anatomical brain regions. Regional grey matter volume averages served as the basis for cross-regional similarity analyses and a brain age model. We found a striking correspondence between regional patterns of alcohol- and age-related grey matter loss across 110 brain regions. The brain age model revealed that the brain age of age-matched AD subjects was increased by up to 11.7 years. Interestingly, while no brain aging was detected in the youngest AD subjects (20–30 years), we found that alcohol-related brain aging systematically increased in the following age decades controlling for lifetime alcohol consumption and general health status. Together, these results provide strong evidence for an accelerated aging model of AD and indicate an elevated risk of alcohol-related brain aging in elderly individuals. |
format | Online Article Text |
id | pubmed-5802586 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-58025862018-02-08 Quantitative neurobiological evidence for accelerated brain aging in alcohol dependence Guggenmos, Matthias Schmack, Katharina Sekutowicz, Maria Garbusow, Maria Sebold, Miriam Sommer, Christian Smolka, Michael N. Wittchen, Hans-Ulrich Zimmermann, Ulrich S. Heinz, Andreas Sterzer, Philipp Transl Psychiatry Article The premature aging hypothesis of alcohol dependence proposes that the neurobiological and behavioural deficits in individuals with alcohol dependence are analogous to those of chronological aging. However, to date no systematic neurobiological evidence for this hypothesis has been provided. To test the hypothesis, 119 alcohol-dependent subjects and 97 age- and gender-matched healthy control subjects underwent structural MRI. Whole-brain grey matter volume maps were computed from structural MRI scans using voxel-based morphometry and parcelled into a comprehensive set of anatomical brain regions. Regional grey matter volume averages served as the basis for cross-regional similarity analyses and a brain age model. We found a striking correspondence between regional patterns of alcohol- and age-related grey matter loss across 110 brain regions. The brain age model revealed that the brain age of age-matched AD subjects was increased by up to 11.7 years. Interestingly, while no brain aging was detected in the youngest AD subjects (20–30 years), we found that alcohol-related brain aging systematically increased in the following age decades controlling for lifetime alcohol consumption and general health status. Together, these results provide strong evidence for an accelerated aging model of AD and indicate an elevated risk of alcohol-related brain aging in elderly individuals. Nature Publishing Group UK 2017-12-11 /pmc/articles/PMC5802586/ /pubmed/29225356 http://dx.doi.org/10.1038/s41398-017-0037-y Text en © The Author(s) 2017 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 Guggenmos, Matthias Schmack, Katharina Sekutowicz, Maria Garbusow, Maria Sebold, Miriam Sommer, Christian Smolka, Michael N. Wittchen, Hans-Ulrich Zimmermann, Ulrich S. Heinz, Andreas Sterzer, Philipp Quantitative neurobiological evidence for accelerated brain aging in alcohol dependence |
title | Quantitative neurobiological evidence for accelerated brain aging in alcohol dependence |
title_full | Quantitative neurobiological evidence for accelerated brain aging in alcohol dependence |
title_fullStr | Quantitative neurobiological evidence for accelerated brain aging in alcohol dependence |
title_full_unstemmed | Quantitative neurobiological evidence for accelerated brain aging in alcohol dependence |
title_short | Quantitative neurobiological evidence for accelerated brain aging in alcohol dependence |
title_sort | quantitative neurobiological evidence for accelerated brain aging in alcohol dependence |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5802586/ https://www.ncbi.nlm.nih.gov/pubmed/29225356 http://dx.doi.org/10.1038/s41398-017-0037-y |
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