UCL logo

UCL Discovery

UCL home » Library Services » Electronic resources » UCL Discovery

Computing value from quality and quantity in human decision making

De Berker, AO; Kurth-Nelson, Z; Rutledge, RB; Bestmann, S; Dolan, R; (2018) Computing value from quality and quantity in human decision making. The Journal of Neuroscience , 39 (1) pp. 163-176. 10.1523/JNEUROSCI.0706-18.2018. Green open access

[img]
Preview
Text
Rutledge VoR 163.full.pdf

Download (1MB) | Preview

Abstract

How organisms learn the value of single stimuli through experience is well described. In many decisions, however, value estimates are computed 'on the fly', by combining multiple stimulus attributes. The neural basis of this computation is poorly understood. Here we explore a common scenario in which decision-makers must combine information about quality and quantity to determine the best option. Using fMRI, we examined the neural representation of quality, quantity, and their integration into an integrated subjective value signal in humans of both genders. We found that activity within Inferior Frontal Gyrus (IFG) correlated with offer quality, whilst activity in the Intra Parietal Sulcus (IPS) specifically correlated with offer quantity. Several brain regions, including the Anterior Cingulate Cortex (ACC), were sensitive to an interaction of quality and quantity. However, the ACC was uniquely activated by quality, quantity, and their interaction, suggesting this region provides a substrate for flexible computation of value from both quality and quantity. Furthermore, ACC signals across subjects correlated with the strength of quality and quantity signals in IFG and IPS respectively. ACC tracking of subjective value also correlated with choice predictability. Finally, activity in the ACC was elevated for choice trials, suggesting that ACC provides a nexus for the computation of subjective value in multi-attribute decision making.SIGNIFICANCE STATEMENTWould you prefer 3 apples or 2 oranges? Many choices we make each day require us to weigh up the quality and quantity of different outcomes. Using fMRI, we show that option quality is selectively represented in the Inferior Frontal Gyrus (IFG), whilst option quantity correlates with areas of the Intra Parietal Sulcus (IPS) which have previously been associated with numerical processing. We show that information about the two is integrated into a value signal in the Anterior Cingulate Cortex (ACC), and the fidelity of this integration predicts choice predictability. Our results demonstrate how on-the-fly value estimates are computed from multiple attributes in human value-based decision making.

Type: Article
Title: Computing value from quality and quantity in human decision making
Location: United States
Open access status: An open access version is available from UCL Discovery
DOI: 10.1523/JNEUROSCI.0706-18.2018
Publisher version: https://doi.org/10.1523/JNEUROSCI.0706-18.2018
Language: English
Additional information: This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium provided that the original work is properly attributed.
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 Brain Sciences > UCL Queen Square Institute of Neurology > Clinical and Movement Neurosciences
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: http://discovery.ucl.ac.uk/id/eprint/10063306
Downloads since deposit
61Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item