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Faster cognitive decline in the years prior to MR imaging is associated with smaller hippocampal volumes in cognitively healthy older persons
Early identification of persons at risk for cognitive decline in aging is critical to optimizing treatment to delay or avoid a clinical diagnosis of mild cognitive impairment (MCI) or dementia due to Alzheimer's disease (AD). To accomplish early identification, it is essential that trajectories...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3672675/ https://www.ncbi.nlm.nih.gov/pubmed/23760360 http://dx.doi.org/10.3389/fnagi.2013.00021 |
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author | Fleischman, Debra A. Yu, Lei Arfanakis, Konstantinos Han, S. Duke Barnes, Lisa L. Arvanitakis, Zoe Boyle, Patricia A. Bennett, David A. |
author_facet | Fleischman, Debra A. Yu, Lei Arfanakis, Konstantinos Han, S. Duke Barnes, Lisa L. Arvanitakis, Zoe Boyle, Patricia A. Bennett, David A. |
author_sort | Fleischman, Debra A. |
collection | PubMed |
description | Early identification of persons at risk for cognitive decline in aging is critical to optimizing treatment to delay or avoid a clinical diagnosis of mild cognitive impairment (MCI) or dementia due to Alzheimer's disease (AD). To accomplish early identification, it is essential that trajectories of cognitive change be characterized and associations with established biomarkers of MCI and AD be examined during the phase in which older persons are considered cognitively healthy. Here we examined the association of rate of cognitive decline in the years leading up to structural magnetic resonance imaging with an established biomarker, hippocampal volume. The sample comprised 211 participants of the Rush Memory and Aging Project who had an average of 5.5 years of cognitive data prior to structural scanning. Results showed that there was significant variability in the trajectories of cognitive change prior to imaging and that faster cognitive decline was associated with smaller hippocampal volumes. Domain-specific analyses suggested that this association was primarily driven by decline in working memory. The results emphasize the importance of closely examining cognitive change and its association with brain structure during the years in which older persons are considered cognitively healthy. |
format | Online Article Text |
id | pubmed-3672675 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-36726752013-06-11 Faster cognitive decline in the years prior to MR imaging is associated with smaller hippocampal volumes in cognitively healthy older persons Fleischman, Debra A. Yu, Lei Arfanakis, Konstantinos Han, S. Duke Barnes, Lisa L. Arvanitakis, Zoe Boyle, Patricia A. Bennett, David A. Front Aging Neurosci Neuroscience Early identification of persons at risk for cognitive decline in aging is critical to optimizing treatment to delay or avoid a clinical diagnosis of mild cognitive impairment (MCI) or dementia due to Alzheimer's disease (AD). To accomplish early identification, it is essential that trajectories of cognitive change be characterized and associations with established biomarkers of MCI and AD be examined during the phase in which older persons are considered cognitively healthy. Here we examined the association of rate of cognitive decline in the years leading up to structural magnetic resonance imaging with an established biomarker, hippocampal volume. The sample comprised 211 participants of the Rush Memory and Aging Project who had an average of 5.5 years of cognitive data prior to structural scanning. Results showed that there was significant variability in the trajectories of cognitive change prior to imaging and that faster cognitive decline was associated with smaller hippocampal volumes. Domain-specific analyses suggested that this association was primarily driven by decline in working memory. The results emphasize the importance of closely examining cognitive change and its association with brain structure during the years in which older persons are considered cognitively healthy. Frontiers Media S.A. 2013-06-05 /pmc/articles/PMC3672675/ /pubmed/23760360 http://dx.doi.org/10.3389/fnagi.2013.00021 Text en Copyright © 2013 Fleischman, Yu, Arfanakis, Han, Barnes, Arvanitakis, Boyle and Bennett. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in other forums, provided the original authors and source are credited and subject to any copyright notices concerning any third-party graphics etc. |
spellingShingle | Neuroscience Fleischman, Debra A. Yu, Lei Arfanakis, Konstantinos Han, S. Duke Barnes, Lisa L. Arvanitakis, Zoe Boyle, Patricia A. Bennett, David A. Faster cognitive decline in the years prior to MR imaging is associated with smaller hippocampal volumes in cognitively healthy older persons |
title | Faster cognitive decline in the years prior to MR imaging is associated with smaller hippocampal volumes in cognitively healthy older persons |
title_full | Faster cognitive decline in the years prior to MR imaging is associated with smaller hippocampal volumes in cognitively healthy older persons |
title_fullStr | Faster cognitive decline in the years prior to MR imaging is associated with smaller hippocampal volumes in cognitively healthy older persons |
title_full_unstemmed | Faster cognitive decline in the years prior to MR imaging is associated with smaller hippocampal volumes in cognitively healthy older persons |
title_short | Faster cognitive decline in the years prior to MR imaging is associated with smaller hippocampal volumes in cognitively healthy older persons |
title_sort | faster cognitive decline in the years prior to mr imaging is associated with smaller hippocampal volumes in cognitively healthy older persons |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3672675/ https://www.ncbi.nlm.nih.gov/pubmed/23760360 http://dx.doi.org/10.3389/fnagi.2013.00021 |
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