Literature DB >> 24958687

The value of numbers in economic rewards.

Frank J Kanayet1, John E Opfer2, William A Cunningham3.   

Abstract

Previous work has identified a distributed network of neural systems involved in appraising the value of rewards, such as when winning $100 versus $1. These studies, however, confounded monetary value and the number used to represent it, which leads to the possibility that some elements in the network may be specialized for processing numeric rather than monetary value. To test this hypothesis, we manipulated numeric magnitude and units to construct a range of economic rewards for simple decisions (e.g., 1¢, $1, 100¢, $100). Consistent with previous research in numerical cognition, results showed that blood-oxygen-level-dependent (BOLD) activity in intraparietal sulcus was correlated with changes in numeric magnitude, independent of monetary value, whereas activity in orbitofrontal cortex was correlated with monetary value, independent of numeric magnitude. Finally, region-of-interest analyses revealed that the BOLD response to numeric magnitude, but not monetary value, described a compressive function. Together, these findings highlight the importance of numerical cognition for understanding how the brain processes monetary rewards.
© The Author(s) 2014.

Entities:  

Keywords:  neuroeconomics; numerical cognition; open materials; orbitofrontal cortex; posterior parietal cortex; value

Mesh:

Year:  2014        PMID: 24958687     DOI: 10.1177/0956797614533969

Source DB:  PubMed          Journal:  Psychol Sci        ISSN: 0956-7976


  3 in total

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Authors:  Bernhard Spitzer; Christopher Summerfield; Fabrice Luyckx; Hamed Nili
Journal:  Elife       Date:  2019-03-07       Impact factor: 8.140

2.  Reply to Pirrone and Tsetsos: Robust evidence for enhanced high-value sensitivity.

Authors:  Blair R K Shevlin; Stephanie M Smith; Jan Hausfeld; Ian Krajbich
Journal:  Proc Natl Acad Sci U S A       Date:  2022-08-15       Impact factor: 12.779

3.  Computing Value from Quality and Quantity in Human Decision-Making.

Authors:  Archy O de Berker; Zeb Kurth-Nelson; Robb B Rutledge; Sven Bestmann; Raymond J Dolan
Journal:  J Neurosci       Date:  2018-11-19       Impact factor: 6.167

  3 in total

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