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Age and hippocampal volume predict distinct parts of default mode network activity

Group comparison studies have established that activity in the posterior part of the default-mode network (DMN) is down-regulated by both normal ageing and Alzheimer’s disease (AD). In this study linear regression models were used to disentangle distinctive DMN activity patterns that are more profou...

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Autores principales: De Marco, Matteo, Ourselin, Sebastien, Venneri, Annalena
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6831650/
https://www.ncbi.nlm.nih.gov/pubmed/31690806
http://dx.doi.org/10.1038/s41598-019-52488-9
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author De Marco, Matteo
Ourselin, Sebastien
Venneri, Annalena
author_facet De Marco, Matteo
Ourselin, Sebastien
Venneri, Annalena
author_sort De Marco, Matteo
collection PubMed
description Group comparison studies have established that activity in the posterior part of the default-mode network (DMN) is down-regulated by both normal ageing and Alzheimer’s disease (AD). In this study linear regression models were used to disentangle distinctive DMN activity patterns that are more profoundly associated with either normal ageing or a structural marker of neurodegeneration. 312 datasets inclusive of healthy adults and patients were analysed. Days of life at scan (DOL) and hippocampal volume were used as predictors. Group comparisons confirmed a significant association between functional connectivity in the posterior cingulate/retrosplenial cortex and precuneus and both ageing and AD. Fully-corrected regression models revealed that DOL significantly predicted DMN strength in these regions. No such effect, however, was predicted by hippocampal volume. A significant positive association was found between hippocampal volumes and DMN connectivity in the right temporo-parietal junction (TPJ). These results indicate that postero-medial DMN down-regulation may not be specific to neurodegenerative processes but may be more an indication of brain vulnerability to degeneration. The DMN-TPJ disconnection is instead linked to the volumetric properties of the hippocampus, may reflect early-stage regional accumulation of pathology and might be of aid in the clinical detection of abnormal ageing.
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spelling pubmed-68316502019-11-13 Age and hippocampal volume predict distinct parts of default mode network activity De Marco, Matteo Ourselin, Sebastien Venneri, Annalena Sci Rep Article Group comparison studies have established that activity in the posterior part of the default-mode network (DMN) is down-regulated by both normal ageing and Alzheimer’s disease (AD). In this study linear regression models were used to disentangle distinctive DMN activity patterns that are more profoundly associated with either normal ageing or a structural marker of neurodegeneration. 312 datasets inclusive of healthy adults and patients were analysed. Days of life at scan (DOL) and hippocampal volume were used as predictors. Group comparisons confirmed a significant association between functional connectivity in the posterior cingulate/retrosplenial cortex and precuneus and both ageing and AD. Fully-corrected regression models revealed that DOL significantly predicted DMN strength in these regions. No such effect, however, was predicted by hippocampal volume. A significant positive association was found between hippocampal volumes and DMN connectivity in the right temporo-parietal junction (TPJ). These results indicate that postero-medial DMN down-regulation may not be specific to neurodegenerative processes but may be more an indication of brain vulnerability to degeneration. The DMN-TPJ disconnection is instead linked to the volumetric properties of the hippocampus, may reflect early-stage regional accumulation of pathology and might be of aid in the clinical detection of abnormal ageing. Nature Publishing Group UK 2019-11-05 /pmc/articles/PMC6831650/ /pubmed/31690806 http://dx.doi.org/10.1038/s41598-019-52488-9 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
De Marco, Matteo
Ourselin, Sebastien
Venneri, Annalena
Age and hippocampal volume predict distinct parts of default mode network activity
title Age and hippocampal volume predict distinct parts of default mode network activity
title_full Age and hippocampal volume predict distinct parts of default mode network activity
title_fullStr Age and hippocampal volume predict distinct parts of default mode network activity
title_full_unstemmed Age and hippocampal volume predict distinct parts of default mode network activity
title_short Age and hippocampal volume predict distinct parts of default mode network activity
title_sort age and hippocampal volume predict distinct parts of default mode network activity
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6831650/
https://www.ncbi.nlm.nih.gov/pubmed/31690806
http://dx.doi.org/10.1038/s41598-019-52488-9
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