de Boer, L;
Axelsson, J;
Riklund, K;
Nyberg, L;
Dayan, P;
Bäckman, L;
Guitart-Masip, M;
(2017)
Attenuation of dopamine-modulated prefrontal value signals underlies probabilistic reward learning deficits in old age.
eLife
, 6
, Article e26424. 10.7554/eLife.26424.
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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 mechanisms is associated with DA D1 receptor availability.
Type: | Article |
---|---|
Title: | Attenuation of dopamine-modulated prefrontal value signals underlies probabilistic reward learning deficits in old age |
Location: | England |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.7554/eLife.26424 |
Publisher version: | http://dx.doi.org/10.7554/eLife.26424 |
Language: | English |
Additional information: | Copyright de Boer et al. This article is distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use and redistribution provided that the original author and source are credited. |
Keywords: | Human, neuroscience |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences |
URI: | https://discovery.ucl.ac.uk/id/eprint/1573160 |




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