Abstract
AbstractBehavioural and neuroimaging research has shown that older adults are less sensitive to financial losses compared to younger adults. Yet relatively less is known about age-related differences in social decisions and social reward processing. As part of a pilot study, we collected behavioural and functional magnetic resonance imaging (fMRI) data from 50 participants (Younger: N = 26, ages 18–34 years; Older: N = 24, ages 63–80 years) who completed three tasks in the scanner: an economic trust game as the investor with three partners (computer, stranger, friend) as the investee; a card-guessing task with monetary gains and losses shared with three partners (computer, stranger, friend); and an ultimatum game as responder to three anonymous proposers (computer, age-similar adults, age-dissimilar adults). We also collected B0 field maps and high-resolution structural images (T1-weighted and T2-weighted images). These data could be reused to answer questions about moment-to-moment variability in fMRI signal, representational similarity between tasks, and brain structure.
Funder
U.S. Department of Health & Human Services | NIH | National Institute on Aging
U.S. Department of Health & Human Services | NIH | National Institute of Mental Health
Publisher
Springer Science and Business Media LLC
Subject
Library and Information Sciences,Statistics, Probability and Uncertainty,Computer Science Applications,Education,Information Systems,Statistics and Probability
Reference59 articles.
1. Fareri, D. S., Niznikiewicz, M. A., Lee, V. K. & Delgado, M. R. Social network modulation of reward-related signals. J Neurosci 32, 9045–9052, https://doi.org/10.1523/JNEUROSCI.0610-12.2012 (2012).
2. Fareri, D. S., Chang, L. J. & Delgado, M. R. Computational Substrates of Social Value in Interpersonal Collaboration. The Journal of Neuroscience 35, 8170–8180, https://doi.org/10.1523/jneurosci.4775-14.2015 (2015).
3. Roberto, K. & Teaster, P. The MetLife study of elder financial abuse: Crimes of occasion, desperation, and predation against America’s elders. (2011).
4. Fareri, D. S. et al. Age-related differences in ventral striatal and default mode network function during reciprocated trust. NeuroImage 256, 119267, https://doi.org/10.1016/j.neuroimage.2022.119267 (2022).
5. Delgado, M. R., Nystrom, L. E., Fissell, C., Noll, D. C. & Fiez, J. A. Tracking the hemodynamic responses to reward and punishment in the striatum. J Neurophysiol 84, 3072–3077 (2000).