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

• Published in: Data in brief Vol. 42; p. 108302
• Main Authors: Oishi, Kumiko, Soldan, Anja, Pettigrew, Corinne, Hsu, Johnny, Mori, Susumu, Albert, Marilyn, Oishi, Kenichi
• Format: Journal Article
• Language: English
• Published: Netherlands Elsevier Inc 01-06-2022; Elsevier
• Subjects: Cognitive change; Data; Default mode network; Resting-state functional magnetic resonance image; Salience network; Cognitive change; Default mode network; Salience network; Resting-state functional magnetic resonance image
• ISSN: 2352-3409; 2352-3409
• DOI: 10.1016/j.dib.2022.108302

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.