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Brain age and other bodily ‘ages’: implications for neuropsychiatry
As our brains age, we tend to experience cognitive decline and are at greater risk of neurodegenerative disease and dementia. Symptoms of chronic neuropsychiatric diseases are also exacerbated during ageing. However, the ageing process does not affect people uniformly; nor, in fact, does the ageing...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6344374/ https://www.ncbi.nlm.nih.gov/pubmed/29892055 http://dx.doi.org/10.1038/s41380-018-0098-1 |
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author | Cole, James H. Marioni, Riccardo E. Harris, Sarah E. Deary, Ian J. |
author_facet | Cole, James H. Marioni, Riccardo E. Harris, Sarah E. Deary, Ian J. |
author_sort | Cole, James H. |
collection | PubMed |
description | As our brains age, we tend to experience cognitive decline and are at greater risk of neurodegenerative disease and dementia. Symptoms of chronic neuropsychiatric diseases are also exacerbated during ageing. However, the ageing process does not affect people uniformly; nor, in fact, does the ageing process appear to be uniform even within an individual. Here, we outline recent neuroimaging research into brain ageing and the use of other bodily ageing biomarkers, including telomere length, the epigenetic clock, and grip strength. Some of these techniques, using statistical approaches, have the ability to predict chronological age in healthy people. Moreover, they are now being applied to neurological and psychiatric disease groups to provide insights into how these diseases interact with the ageing process and to deliver individualised predictions about future brain and body health. We discuss the importance of integrating different types of biological measurements, from both the brain and the rest of the body, to build more comprehensive models of the biological ageing process. Finally, we propose seven steps for the field of brain-ageing research to take in coming years. This will help us reach the long-term goal of developing clinically applicable statistical models of biological processes to measure, track and predict brain and body health in ageing and disease. |
format | Online Article Text |
id | pubmed-6344374 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-63443742019-01-25 Brain age and other bodily ‘ages’: implications for neuropsychiatry Cole, James H. Marioni, Riccardo E. Harris, Sarah E. Deary, Ian J. Mol Psychiatry Expert Review As our brains age, we tend to experience cognitive decline and are at greater risk of neurodegenerative disease and dementia. Symptoms of chronic neuropsychiatric diseases are also exacerbated during ageing. However, the ageing process does not affect people uniformly; nor, in fact, does the ageing process appear to be uniform even within an individual. Here, we outline recent neuroimaging research into brain ageing and the use of other bodily ageing biomarkers, including telomere length, the epigenetic clock, and grip strength. Some of these techniques, using statistical approaches, have the ability to predict chronological age in healthy people. Moreover, they are now being applied to neurological and psychiatric disease groups to provide insights into how these diseases interact with the ageing process and to deliver individualised predictions about future brain and body health. We discuss the importance of integrating different types of biological measurements, from both the brain and the rest of the body, to build more comprehensive models of the biological ageing process. Finally, we propose seven steps for the field of brain-ageing research to take in coming years. This will help us reach the long-term goal of developing clinically applicable statistical models of biological processes to measure, track and predict brain and body health in ageing and disease. Nature Publishing Group UK 2018-06-11 2019 /pmc/articles/PMC6344374/ /pubmed/29892055 http://dx.doi.org/10.1038/s41380-018-0098-1 Text en © The Author(s) 2018 Open Access This article is licensed under a Creative CommonsAttribution 4.0 International License, which permits use, sharing,adaptation, distribution and reproduction in any medium or format, aslong as you give appropriate credit to the original author(s) and thesource, provide a link to the Creative Commons license, and indicate ifchanges were made. The images or other third party material in thisarticle are included in the article’s Creative Commons license, unlessindicated otherwise in a credit line to the material. If material is notincluded in the article’s Creative Commons license and your intendeduse is not permitted by statutory regulation or exceeds the permitteduse, you will need to obtain permission directly from the copyrightholder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Expert Review Cole, James H. Marioni, Riccardo E. Harris, Sarah E. Deary, Ian J. Brain age and other bodily ‘ages’: implications for neuropsychiatry |
title | Brain age and other bodily ‘ages’: implications for neuropsychiatry |
title_full | Brain age and other bodily ‘ages’: implications for neuropsychiatry |
title_fullStr | Brain age and other bodily ‘ages’: implications for neuropsychiatry |
title_full_unstemmed | Brain age and other bodily ‘ages’: implications for neuropsychiatry |
title_short | Brain age and other bodily ‘ages’: implications for neuropsychiatry |
title_sort | brain age and other bodily ‘ages’: implications for neuropsychiatry |
topic | Expert Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6344374/ https://www.ncbi.nlm.nih.gov/pubmed/29892055 http://dx.doi.org/10.1038/s41380-018-0098-1 |
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