We examined whether older adults differ from younger adults in how they learn from rewarding and aversive outcomes. Human participants were asked to either learn to choose actions that lead to monetary reward or learn to avoid actions that lead to monetary losses. To examine age differences in the neurophysiological mechanisms of learning, we applied a combination of computational modeling and fMRI. Behavioral results showed age-related impairments in learning from reward but not in learning from monetary losses. Consistent with these results, we observed age-related reductions in BOLD activity during learning from reward in the ventromedial PFC. Furthermore, the model-based fMRI analysis revealed a reduced responsivity of the ventral striatum to reward prediction errors during learning in older than younger adults. This age-related reduction in striatal sensitivity to reward prediction errors may result from a decline in phasic dopaminergic learning signals in the elderly.
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http://dx.doi.org/10.1523/JNEUROSCI.2942-12.2013 | DOI Listing |
Transl Psychiatry
January 2025
Department of Psychology, Goldsmiths University of London, London, UK.
Bipolar disorder (BD) involves altered reward processing and decision-making, with inconsistencies across studies. Here, we integrated hierarchical Bayesian modelling with magnetoencephalography (MEG) to characterise maladaptive belief updating in this condition. First, we determined if previously reported increased learning rates in BD stem from a heightened expectation of environmental changes.
View Article and Find Full Text PDFPLoS One
January 2025
Faculty of Economics and Business (ICADE), Universidad Pontificia Comillas, Madrid, Spain.
Financial portfolio management investment policies computed quantitatively by modern portfolio theory techniques like the Markowitz model rely on a set of assumptions that are not supported by data in high volatility markets such as the technological sector or cryptocurrencies. Hence, quantitative researchers are looking for alternative models to tackle this problem. Concretely, portfolio management (PM) is a problem that has been successfully addressed recently by Deep Reinforcement Learning (DRL) approaches.
View Article and Find Full Text PDFMol Autism
January 2025
Research Center for Child Mental Development, Hamamatsu University School of Medicine, Hamamatsu, Japan.
Background: Risk preference changes nonlinearly across development. Although extensive developmental research on the neurotypical (NTP) population has shown that risk preference is highest during adolescence, developmental changes in risk preference in autistic (AUT) people, who tend to prefer predictable behaviors, have not been investigated. Here, we aimed to investigate these changes and underlying computational mechanisms.
View Article and Find Full Text PDFPsychol Rep
January 2025
Department of Psychology, Old Dominion University, Norfolk, VA, USA.
Fear of missing out (FoMO) is the apprehension that others may be having more rewarding experiences from which one is absent. A positive relationship between FoMO and social media related behaviors is well established. Limited studies have examined how FoMO may be associated with risky health behaviors, such as alcohol use.
View Article and Find Full Text PDFDev Psychol
January 2025
Department of Psychology, New York University.
Women tend to negotiate less than men, which-along with other well-documented interpersonal and structural factors-contributes to persistent gender gaps in pay for equal work. Here, we explore the developmental origins of these gender differences in negotiation. Across three studies ( = 462), we investigated 6- to 12-year-old girls' and boys' perceptions of negotiation (e.
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