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Attenuation of dopamine-modulated prefrontal value signals underlies probabilistic reward learning deficits in old age

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. Green open access

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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 > Provost and Vice Provost Offices
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 Brain Sciences > UCL Queen Square Institute of Neurology
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences > Gatsby Computational Neurosci Unit
URI: http://discovery.ucl.ac.uk/id/eprint/1573160
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