An fMRI Dataset on Social Reward Processing and Decision Making in Younger and Older Adults

Sci Data. 2024 Feb 1;11(1):158. doi: 10.1038/s41597-024-02931-y.

Abstract

Behavioural 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.

Publication types

  • Dataset

MeSH terms

  • Adult
  • Aged
  • Brain* / diagnostic imaging
  • Decision Making* / physiology
  • Humans
  • Magnetic Resonance Imaging*
  • Pilot Projects
  • Reward
  • Young Adult