Value signals in the prefrontal cortex predict individual preferences across reward categories

Jörg Gross, Eva Woelbert, Jan Zimmermann, Sanae Okamoto-Barth, Arno Riedl, Rainer Goebel

Research output: Contribution to journalArticlepeer-review

29 Scopus citations

Abstract

Humans can choose between fundamentally different options, such as watching a movie or going out for dinner. According to the utility concept, put forward by utilitarian philosophers and widely used in economics, this may be accomplished by mapping the value of different options onto a common scale, independent of specific option characteristics (Fehr and Rangel, 2011; Levy and Glimcher, 2012). If this is the case, value-related activity patterns in the brain should allow predictions of individual preferences across fundamentally different reward categories. We analyze fMRI data of the prefrontal cortex while subjects imagine the pleasure they would derive from items belonging to two distinct reward categories: Engaging activities (like going out for drinks, daydreaming, or doing sports) and snack foods. Support vector machines trained on brain patterns related to one category reliably predict individual preferences of the other category and vice versa. Further, we predict preferences across participants. These findings demonstrate that prefrontal cortex value signals follow a common scale representation of value that is even comparable across individuals and could, in principle, be used to predict choice.

Original languageEnglish (US)
Pages (from-to)7580-7586
Number of pages7
JournalJournal of Neuroscience
Volume34
Issue number22
DOIs
StatePublished - Jan 1 2014
Externally publishedYes

Bibliographical note

Copyright:
Copyright 2014 Elsevier B.V., All rights reserved.

Keywords

  • Choice prediction
  • Common scale
  • Decision making
  • Subjective value
  • Utility

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