Literature DB >> 20032238

Neural representation of subjective value under risk and ambiguity.

Ifat Levy1, Jason Snell, Amy J Nelson, Aldo Rustichini, Paul W Glimcher.   

Abstract

Risk and ambiguity are two conditions in which the consequences of possible outcomes are not certain. Under risk, the probabilities of different outcomes can be estimated, whereas under ambiguity, even these probabilities are not known. Although most people exhibit at least some aversion to both risk and ambiguity, the degree of these aversions is largely uncorrelated across subjects, suggesting that risk aversion and ambiguity aversion are distinct phenomena. Previous studies have shown differences in brain activations for risky and ambiguous choices and have identified neural mechanisms that may mediate transitions from conditions of ambiguity to conditions of risk. Unknown, however, is whether the value of risky and ambiguous options is necessarily represented by two distinct systems or whether a common mechanism can be identified. To answer this question, we compared the neural representation of subjective value under risk and ambiguity. fMRI was used to track brain activation while subjects made choices regarding options that varied systematically in the amount of money offered and in either the probability of obtaining that amount or the level of ambiguity around that probability. A common system, consisting of at least the striatum and the medial prefrontal cortex, was found to represent subjective value under both conditions.

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Mesh:

Year:  2009        PMID: 20032238     DOI: 10.1152/jn.00853.2009

Source DB:  PubMed          Journal:  J Neurophysiol        ISSN: 0022-3077            Impact factor:   2.714


  148 in total

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Authors:  Camillo Padoa-Schioppa; Xinying Cai
Journal:  Ann N Y Acad Sci       Date:  2011-12       Impact factor: 5.691

2.  Comparing apples and oranges: using reward-specific and reward-general subjective value representation in the brain.

Authors:  Dino J Levy; Paul W Glimcher
Journal:  J Neurosci       Date:  2011-10-12       Impact factor: 6.167

3.  Transformation of stimulus value signals into motor commands during simple choice.

Authors:  Todd A Hare; Wolfram Schultz; Colin F Camerer; John P O'Doherty; Antonio Rangel
Journal:  Proc Natl Acad Sci U S A       Date:  2011-10-17       Impact factor: 11.205

4.  Neural Activity Reveals Preferences Without Choices.

Authors:  Alec Smith; B Douglas Bernheim; Colin Camerer; Antonio Rangel
Journal:  Am Econ J Microecon       Date:  2014-05

5.  Informatic parcellation of the network involved in the computation of subjective value.

Authors:  John A Clithero; Antonio Rangel
Journal:  Soc Cogn Affect Neurosci       Date:  2013-07-24       Impact factor: 3.436

6.  Like cognitive function, decision making across the life span shows profound age-related changes.

Authors:  Agnieszka Tymula; Lior A Rosenberg Belmaker; Lital Ruderman; Paul W Glimcher; Ifat Levy
Journal:  Proc Natl Acad Sci U S A       Date:  2013-09-30       Impact factor: 11.205

7.  Amygdala Functional and Structural Connectivity Predicts Individual Risk Tolerance.

Authors:  Wi Hoon Jung; Sangil Lee; Caryn Lerman; Joseph W Kable
Journal:  Neuron       Date:  2018-04-05       Impact factor: 17.173

8.  Value-based decision making under uncertainty in hoarding and obsessive- compulsive disorders.

Authors:  Helen Pushkarskaya; David Tolin; Lital Ruderman; Daniel Henick; J MacLaren Kelly; Christopher Pittenger; Ifat Levy
Journal:  Psychiatry Res       Date:  2017-08-24       Impact factor: 3.222

9.  Emotion and decision-making under uncertainty: Physiological arousal predicts increased gambling during ambiguity but not risk.

Authors:  Oriel FeldmanHall; Paul Glimcher; Augustus L Baker; Elizabeth A Phelps
Journal:  J Exp Psychol Gen       Date:  2016-10

10.  Dialogue on economic choice, learning theory, and neuronal representations.

Authors:  Camillo Padoa-Schioppa; Geoffrey Schoenbaum
Journal:  Curr Opin Behav Sci       Date:  2015-10
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