| Literature DB >> 28870286 |
Lieke de Boer1, Jan Axelsson2,3, Katrine Riklund2,3, Lars Nyberg2,3,4, Peter Dayan5, Lars Bäckman1, Marc Guitart-Masip1,6.
Abstract
Probabilistic reward learning is characterised by individual differences that become acute in aging. This may be due to age-related dopamine (DA) decline affecting neural processing in striatum, prefrontal cortex, or both. We examined this by administering a probabilistic reward learning task to younger and older adults, and combining computational modelling of behaviour, fMRI and PET measurements of DA D1 availability. We found that anticipatory value signals in ventromedial prefrontal cortex (vmPFC) were attenuated in older adults. The strength of this signal predicted performance beyond age and was modulated by D1 availability in nucleus accumbens. These results uncover that a value-anticipation mechanism in vmPFC declines in aging, and that this mechanism is associated with DA D1 receptor availability.Entities:
Keywords: aging; computational modelling; dopamine; human; neuroscience; probabilistic reward learning; reward prediction error; ventromedial prefrontal cortex
Mesh:
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Year: 2017 PMID: 28870286 PMCID: PMC5593512 DOI: 10.7554/eLife.26424
Source DB: PubMed Journal: Elife ISSN: 2050-084X Impact factor: 8.140