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Discovering Modality of Cognitive Function Using Clustering Analysis
In this study with Long Life Family Study (LLFS) participants, we aimed to identify patterns of performance on cognitive function assessments as specific cognitive signatures. We hypothesize that such signatures can be correlated with biomarkers and clinical outcomes. More than 4,700 LLFS participan...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8680567/ http://dx.doi.org/10.1093/geroni/igab046.2225 |
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author | Anderson, Stacy Perls, Thomas Nygaard, Marianne Sebastiani, Paola Xiang, Qingyan |
author_facet | Anderson, Stacy Perls, Thomas Nygaard, Marianne Sebastiani, Paola Xiang, Qingyan |
author_sort | Anderson, Stacy |
collection | PubMed |
description | In this study with Long Life Family Study (LLFS) participants, we aimed to identify patterns of performance on cognitive function assessments as specific cognitive signatures. We hypothesize that such signatures can be correlated with biomarkers and clinical outcomes. More than 4,700 LLFS participants were administered, at enrollment, a series of neuropsychological tests that measure various cognitive domains. We performed a cluster analysis to group LLFS subjects into clusters characterized by combinations of six neuropsychological test scores. The analysis resulted in 10 clusters of varying size with different cognitive signatures that (1) significantly correlated with physical and pulmonary function, and 31 blood biomarkers and (2) predicted mortality and incident medical events such as dementia, cardiovascular diseases, etc. We conclude that cluster analysis of multiple neuropsychological tests discovers cognitive signatures that are more specific than individual cognitive domains and that these can be correlated with blood biomarkers, incident medical outcomes and mortality. |
format | Online Article Text |
id | pubmed-8680567 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-86805672021-12-17 Discovering Modality of Cognitive Function Using Clustering Analysis Anderson, Stacy Perls, Thomas Nygaard, Marianne Sebastiani, Paola Xiang, Qingyan Innov Aging Abstracts In this study with Long Life Family Study (LLFS) participants, we aimed to identify patterns of performance on cognitive function assessments as specific cognitive signatures. We hypothesize that such signatures can be correlated with biomarkers and clinical outcomes. More than 4,700 LLFS participants were administered, at enrollment, a series of neuropsychological tests that measure various cognitive domains. We performed a cluster analysis to group LLFS subjects into clusters characterized by combinations of six neuropsychological test scores. The analysis resulted in 10 clusters of varying size with different cognitive signatures that (1) significantly correlated with physical and pulmonary function, and 31 blood biomarkers and (2) predicted mortality and incident medical events such as dementia, cardiovascular diseases, etc. We conclude that cluster analysis of multiple neuropsychological tests discovers cognitive signatures that are more specific than individual cognitive domains and that these can be correlated with blood biomarkers, incident medical outcomes and mortality. Oxford University Press 2021-12-17 /pmc/articles/PMC8680567/ http://dx.doi.org/10.1093/geroni/igab046.2225 Text en © The Author(s) 2021. Published by Oxford University Press on behalf of The Gerontological Society of America. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/ (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 | Abstracts Anderson, Stacy Perls, Thomas Nygaard, Marianne Sebastiani, Paola Xiang, Qingyan Discovering Modality of Cognitive Function Using Clustering Analysis |
title | Discovering Modality of Cognitive Function Using Clustering Analysis |
title_full | Discovering Modality of Cognitive Function Using Clustering Analysis |
title_fullStr | Discovering Modality of Cognitive Function Using Clustering Analysis |
title_full_unstemmed | Discovering Modality of Cognitive Function Using Clustering Analysis |
title_short | Discovering Modality of Cognitive Function Using Clustering Analysis |
title_sort | discovering modality of cognitive function using clustering analysis |
topic | Abstracts |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8680567/ http://dx.doi.org/10.1093/geroni/igab046.2225 |
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