Ageing is associated with disrupted reinforcement learning whilst learning to help others is preserved
| Autor: | Patricia L. Lockwood, Ayat Abdurahman, Masud Husain, Daniel Drew, Jo Cutler, Luca D Hargitai, Marco K. Wittmann |
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| Přispěvatelé: | Cutler, Jo [0000-0003-1073-764X], Wittmann, Marco K. [0000-0001-5229-7457], Hargitai, Luca D. [0000-0003-4536-8848], Husain, Masud [0000-0002-6850-9255], Lockwood, Patricia L. [0000-0001-7195-9559], Apollo - University of Cambridge Repository, Wittmann, Marco K [0000-0001-5229-7457], Hargitai, Luca D [0000-0003-4536-8848], Lockwood, Patricia L [0000-0001-7195-9559] |
| Rok vydání: | 2021 |
| Předmět: |
Adult
Male Aging Adolescent Science education General Physics and Astronomy Helping behavior Models Psychological Affect (psychology) 050105 experimental psychology General Biochemistry Genetics and Molecular Biology Developmental psychology Learning and memory 03 medical and health sciences Young Adult 0302 clinical medicine 631/477/2811 Reward Human behaviour Reinforcement learning Humans Learning 0501 psychology and cognitive sciences Young adult Reinforcement Aged Aged 80 and over Multidisciplinary Mechanism (biology) 05 social sciences article General Chemistry Antisocial Personality Disorder Middle Aged Helping Behavior Prosocial behavior Ageing Female Psychology Reinforcement Psychology 030217 neurology & neurosurgery 631/378/1595 |
| Zdroj: | Nature Communications Nature Communications, Vol 12, Iss 1, Pp 1-13 (2021) |
| Popis: | Funder: Wellcome Trust (Wellcome); doi: https://doi.org/10.13039/100004440 Funder: DH | National Institute for Health Research (NIHR); doi: https://doi.org/10.13039/501100000272 Funder: Christ Church Junior Research Fellowship Christ Church Research Centre Grant Reinforcement learning is a fundamental mechanism displayed by many species. However, adaptive behaviour depends not only on learning about actions and outcomes that affect ourselves, but also those that affect others. Using computational reinforcement learning models, we tested whether young (age 18–36) and older (age 60–80, total n = 152) adults learn to gain rewards for themselves, another person (prosocial), or neither individual (control). Detailed model comparison showed that a model with separate learning rates for each recipient best explained behaviour. Young adults learned faster when their actions benefitted themselves, compared to others. Compared to young adults, older adults showed reduced self-relevant learning rates but preserved prosocial learning. Moreover, levels of subclinical self-reported psychopathic traits (including lack of concern for others) were lower in older adults and the core affective-interpersonal component of this measure negatively correlated with prosocial learning. These findings suggest learning to benefit others is preserved across the lifespan with implications for reinforcement learning and theories of healthy ageing. |
| Databáze: | OpenAIRE |
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