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Early Indications of Future Cognitive Decline: Stable versus Declining Controls
This study aimed to identify baseline features of normal subjects that are associated with subsequent cognitive decline. Publicly available data from the Alzheimer’s Disease Neuroimaging Initiative was used to find differences in baseline clinical assessments (ADAScog, AVLT, FAQ) between cognitively...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3767625/ https://www.ncbi.nlm.nih.gov/pubmed/24040166 http://dx.doi.org/10.1371/journal.pone.0074062 |
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author | Rizk-Jackson, Angela Insel, Philip Petersen, Ronald Aisen, Paul Jack, Clifford Weiner, Michael |
author_facet | Rizk-Jackson, Angela Insel, Philip Petersen, Ronald Aisen, Paul Jack, Clifford Weiner, Michael |
author_sort | Rizk-Jackson, Angela |
collection | PubMed |
description | This study aimed to identify baseline features of normal subjects that are associated with subsequent cognitive decline. Publicly available data from the Alzheimer’s Disease Neuroimaging Initiative was used to find differences in baseline clinical assessments (ADAScog, AVLT, FAQ) between cognitively healthy individuals who will suffer cognitive decline within 48 months and those who will remain stable for that period. Linear regression models indicated an individual’s conversion status was significantly associated with certain baseline neuroimaging measures, including posterior cingulate glucose metabolism. Linear Discriminant Analysis models built with baseline features derived from MRI and FDG-PET measures were capable of successfully predicting whether an individual will convert to MCI within 48 months or remain cognitively stable. The findings from this study support the idea that there exist informative differences between normal people who will later develop cognitive impairments and those who will remain cognitively stable for up to four years. Further, the feasibility of developing predictive models that can detect early states of cognitive decline in seemingly normal individuals was demonstrated. |
format | Online Article Text |
id | pubmed-3767625 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-37676252013-09-13 Early Indications of Future Cognitive Decline: Stable versus Declining Controls Rizk-Jackson, Angela Insel, Philip Petersen, Ronald Aisen, Paul Jack, Clifford Weiner, Michael PLoS One Research Article This study aimed to identify baseline features of normal subjects that are associated with subsequent cognitive decline. Publicly available data from the Alzheimer’s Disease Neuroimaging Initiative was used to find differences in baseline clinical assessments (ADAScog, AVLT, FAQ) between cognitively healthy individuals who will suffer cognitive decline within 48 months and those who will remain stable for that period. Linear regression models indicated an individual’s conversion status was significantly associated with certain baseline neuroimaging measures, including posterior cingulate glucose metabolism. Linear Discriminant Analysis models built with baseline features derived from MRI and FDG-PET measures were capable of successfully predicting whether an individual will convert to MCI within 48 months or remain cognitively stable. The findings from this study support the idea that there exist informative differences between normal people who will later develop cognitive impairments and those who will remain cognitively stable for up to four years. Further, the feasibility of developing predictive models that can detect early states of cognitive decline in seemingly normal individuals was demonstrated. Public Library of Science 2013-09-09 /pmc/articles/PMC3767625/ /pubmed/24040166 http://dx.doi.org/10.1371/journal.pone.0074062 Text en © 2013 Rizk-Jackson et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Rizk-Jackson, Angela Insel, Philip Petersen, Ronald Aisen, Paul Jack, Clifford Weiner, Michael Early Indications of Future Cognitive Decline: Stable versus Declining Controls |
title | Early Indications of Future Cognitive Decline: Stable versus Declining Controls |
title_full | Early Indications of Future Cognitive Decline: Stable versus Declining Controls |
title_fullStr | Early Indications of Future Cognitive Decline: Stable versus Declining Controls |
title_full_unstemmed | Early Indications of Future Cognitive Decline: Stable versus Declining Controls |
title_short | Early Indications of Future Cognitive Decline: Stable versus Declining Controls |
title_sort | early indications of future cognitive decline: stable versus declining controls |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3767625/ https://www.ncbi.nlm.nih.gov/pubmed/24040166 http://dx.doi.org/10.1371/journal.pone.0074062 |
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