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The value of what’s to come: Neural mechanisms coupling prediction error and the utility of anticipation

Iigaya, K; Hauser, TU; Kurth-Nelson, Z; O’Doherty, JP; Dayan, P; Dolan, RJ; (2020) The value of what’s to come: Neural mechanisms coupling prediction error and the utility of anticipation. Science Advances , 6 (25) , Article eaba3828. 10.1126/sciadv.aba3828. Green open access

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Abstract

Having something to look forward to is a keystone of well-being. Anticipation of future reward, such as an upcoming vacation, can often be more gratifying than the experience itself. Theories suggest the utility of anticipation underpins various behaviors, ranging from beneficial information-seeking to harmful addiction. However, how neural systems compute anticipatory utility remains unclear. We analyzed the brain activity of human participants as they performed a task involving choosing whether to receive information predictive of future pleasant outcomes. Using a computational model, we show three brain regions orchestrate anticipatory utility. Specifically, ventromedial prefrontal cortex tracks the value of anticipatory utility, dopaminergic midbrain correlates with information that enhances anticipation, while sustained hippocampal activity mediates a functional coupling between these regions. Our findings suggest a previously unidentified neural underpinning for anticipation’s influence over decision-making and unify a range of phenomena associated with risk and time-delay preference.

Type: Article
Title: The value of what’s to come: Neural mechanisms coupling prediction error and the utility of anticipation
Open access status: An open access version is available from UCL Discovery
DOI: 10.1126/sciadv.aba3828
Publisher version: https://doi.org/10.1126/sciadv.aba3828
Language: English
Additional information: This is an open-access article distributed under the terms of the Creative Commons Attribution license (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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 Brain Sciences > UCL Queen Square Institute of Neurology
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology > Imaging Neuroscience
URI: https://discovery-pp.ucl.ac.uk/id/eprint/10102310
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