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Dataset of relationship between longitudinal change in cognitive performance and functional connectivity in cognitively normal older individuals

The data show an association between measured and predicted changes in cognitive performance in older adults who are cognitively normal. Changes in cognitive performance over two years were assessed using the Cognitive Composite Score. The prediction of change in cognitive function was based on chan...

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Autores principales: Oishi, Kumiko, Soldan, Anja, Pettigrew, Corinne, Hsu, Johnny, Mori, Susumu, Albert, Marilyn, Oishi, Kenichi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9163691/
https://www.ncbi.nlm.nih.gov/pubmed/35669007
http://dx.doi.org/10.1016/j.dib.2022.108302
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author Oishi, Kumiko
Soldan, Anja
Pettigrew, Corinne
Hsu, Johnny
Mori, Susumu
Albert, Marilyn
Oishi, Kenichi
author_facet Oishi, Kumiko
Soldan, Anja
Pettigrew, Corinne
Hsu, Johnny
Mori, Susumu
Albert, Marilyn
Oishi, Kenichi
author_sort Oishi, Kumiko
collection PubMed
description The data show an association between measured and predicted changes in cognitive performance in older adults who are cognitively normal. Changes in cognitive performance over two years were assessed using the Cognitive Composite Score. The prediction of change in cognitive function was based on changes in pairwise functional connectivity between 80 gray matter regions examined by resting-state functional magnetic resonance imaging. A feature extraction process based on the Variable Importance Testing Approach (VITA) identified changes in 11 pairs of functional connections associated with the default mode network as features related to changes in cognitive performance. Linear and elastic net regression models were applied to these 11 features to predict changes in cognitive performance over two years. A relationship between the 11 features and the geriatric depression score was also shown. The dataset supplements the research findings in the "Changes in pairwise functional connectivity associated with changes in cognitive performance in cognitively normal older individuals: a two-year observational study" published in Oishi et al. (2022). The raw rs-fMRI correlation matrix and associated clinical data can be accessed upon request from the BIOCARD website (www.biocard-se.org) and can be reused for predictive model building.
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spelling pubmed-91636912022-06-05 Dataset of relationship between longitudinal change in cognitive performance and functional connectivity in cognitively normal older individuals Oishi, Kumiko Soldan, Anja Pettigrew, Corinne Hsu, Johnny Mori, Susumu Albert, Marilyn Oishi, Kenichi Data Brief Data Article The data show an association between measured and predicted changes in cognitive performance in older adults who are cognitively normal. Changes in cognitive performance over two years were assessed using the Cognitive Composite Score. The prediction of change in cognitive function was based on changes in pairwise functional connectivity between 80 gray matter regions examined by resting-state functional magnetic resonance imaging. A feature extraction process based on the Variable Importance Testing Approach (VITA) identified changes in 11 pairs of functional connections associated with the default mode network as features related to changes in cognitive performance. Linear and elastic net regression models were applied to these 11 features to predict changes in cognitive performance over two years. A relationship between the 11 features and the geriatric depression score was also shown. The dataset supplements the research findings in the "Changes in pairwise functional connectivity associated with changes in cognitive performance in cognitively normal older individuals: a two-year observational study" published in Oishi et al. (2022). The raw rs-fMRI correlation matrix and associated clinical data can be accessed upon request from the BIOCARD website (www.biocard-se.org) and can be reused for predictive model building. Elsevier 2022-05-24 /pmc/articles/PMC9163691/ /pubmed/35669007 http://dx.doi.org/10.1016/j.dib.2022.108302 Text en © 2022 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Data Article
Oishi, Kumiko
Soldan, Anja
Pettigrew, Corinne
Hsu, Johnny
Mori, Susumu
Albert, Marilyn
Oishi, Kenichi
Dataset of relationship between longitudinal change in cognitive performance and functional connectivity in cognitively normal older individuals
title Dataset of relationship between longitudinal change in cognitive performance and functional connectivity in cognitively normal older individuals
title_full Dataset of relationship between longitudinal change in cognitive performance and functional connectivity in cognitively normal older individuals
title_fullStr Dataset of relationship between longitudinal change in cognitive performance and functional connectivity in cognitively normal older individuals
title_full_unstemmed Dataset of relationship between longitudinal change in cognitive performance and functional connectivity in cognitively normal older individuals
title_short Dataset of relationship between longitudinal change in cognitive performance and functional connectivity in cognitively normal older individuals
title_sort dataset of relationship between longitudinal change in cognitive performance and functional connectivity in cognitively normal older individuals
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9163691/
https://www.ncbi.nlm.nih.gov/pubmed/35669007
http://dx.doi.org/10.1016/j.dib.2022.108302
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