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Morphometric similarity deviations in stimulant use disorder point towards abnormal brain ageing
Chronic drug use negatively impacts ageing, resulting in diminished health and quality of life. However, little is known about biomarkers of abnormal ageing in stimulant drug users. Using morphometric similarity network mapping, a novel approach to structural connectomics, we first mapped cross-sect...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9178962/ https://www.ncbi.nlm.nih.gov/pubmed/35694145 http://dx.doi.org/10.1093/braincomms/fcac079 |
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author | Zhukovsky, Peter Savulich, George Morgan, Sarah Dalley, Jeffrey W. Williams, Guy B. Ersche, Karen D. |
author_facet | Zhukovsky, Peter Savulich, George Morgan, Sarah Dalley, Jeffrey W. Williams, Guy B. Ersche, Karen D. |
author_sort | Zhukovsky, Peter |
collection | PubMed |
description | Chronic drug use negatively impacts ageing, resulting in diminished health and quality of life. However, little is known about biomarkers of abnormal ageing in stimulant drug users. Using morphometric similarity network mapping, a novel approach to structural connectomics, we first mapped cross-sectional morphometric similarity trajectories of ageing in the publicly available Rockland Sample (20–80 years of age, n = 665). We then compared morphometric similarity and neuropsychological function between non-treatment-seeking, actively using patients with stimulant use disorder (n = 183, mean age: 35.6 years) and healthy control participants (n = 148, mean age: 36.0 years). The significantly altered mean regional morphometric similarity was found in 43 cortical regions including the inferior and orbital frontal gyri, pre/postcentral gyri and anterior temporal, superior parietal and occipital areas. Deviations from normative morphometric similarity trajectories in patients with stimulant use disorder suggested abnormal brain ageing. Furthermore, deficits in paired associates learning were consistent with neuropathology associated with both ageing and stimulant use disorder. Morphometric similarity mapping provides a promising biomarker for ageing in health and disease and may complement existing neuropsychological markers of age-related cognitive decline. Neuropathological ageing mechanisms in stimulant use disorder warrant further investigation to develop more age-appropriate treatments for older people addicted to stimulant drugs. |
format | Online Article Text |
id | pubmed-9178962 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-91789622022-06-09 Morphometric similarity deviations in stimulant use disorder point towards abnormal brain ageing Zhukovsky, Peter Savulich, George Morgan, Sarah Dalley, Jeffrey W. Williams, Guy B. Ersche, Karen D. Brain Commun Original Article Chronic drug use negatively impacts ageing, resulting in diminished health and quality of life. However, little is known about biomarkers of abnormal ageing in stimulant drug users. Using morphometric similarity network mapping, a novel approach to structural connectomics, we first mapped cross-sectional morphometric similarity trajectories of ageing in the publicly available Rockland Sample (20–80 years of age, n = 665). We then compared morphometric similarity and neuropsychological function between non-treatment-seeking, actively using patients with stimulant use disorder (n = 183, mean age: 35.6 years) and healthy control participants (n = 148, mean age: 36.0 years). The significantly altered mean regional morphometric similarity was found in 43 cortical regions including the inferior and orbital frontal gyri, pre/postcentral gyri and anterior temporal, superior parietal and occipital areas. Deviations from normative morphometric similarity trajectories in patients with stimulant use disorder suggested abnormal brain ageing. Furthermore, deficits in paired associates learning were consistent with neuropathology associated with both ageing and stimulant use disorder. Morphometric similarity mapping provides a promising biomarker for ageing in health and disease and may complement existing neuropsychological markers of age-related cognitive decline. Neuropathological ageing mechanisms in stimulant use disorder warrant further investigation to develop more age-appropriate treatments for older people addicted to stimulant drugs. Oxford University Press 2022-03-28 /pmc/articles/PMC9178962/ /pubmed/35694145 http://dx.doi.org/10.1093/braincomms/fcac079 Text en © The Author(s) 2022. Published by Oxford University Press on behalf of the Guarantors of Brain. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Article Zhukovsky, Peter Savulich, George Morgan, Sarah Dalley, Jeffrey W. Williams, Guy B. Ersche, Karen D. Morphometric similarity deviations in stimulant use disorder point towards abnormal brain ageing |
title | Morphometric similarity deviations in stimulant use disorder point towards abnormal brain ageing |
title_full | Morphometric similarity deviations in stimulant use disorder point towards abnormal brain ageing |
title_fullStr | Morphometric similarity deviations in stimulant use disorder point towards abnormal brain ageing |
title_full_unstemmed | Morphometric similarity deviations in stimulant use disorder point towards abnormal brain ageing |
title_short | Morphometric similarity deviations in stimulant use disorder point towards abnormal brain ageing |
title_sort | morphometric similarity deviations in stimulant use disorder point towards abnormal brain ageing |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9178962/ https://www.ncbi.nlm.nih.gov/pubmed/35694145 http://dx.doi.org/10.1093/braincomms/fcac079 |
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