Method Article

Measuring the Subjective Value of Risky and Ambiguous Options using Experimental Economics and Functional MRI Methods

DOI:

10.3791/3724

September 19th, 2012

In This Article

Summary

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Using functional MRI and behavioral methods to determine the neural representation of the subjective value of risky and ambiguous options in the human brain.

Abstract

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Most of the choices we make have uncertain consequences. In some cases the probabilities for different possible outcomes are precisely known, a condition termed "risky". In other cases when probabilities cannot be estimated, this is a condition described as "ambiguous". While most people are averse to both risk and ambiguity1,2, the degree of those aversions vary substantially across individuals, such that the subjective value of the same risky or ambiguous option can be very different for different individuals. We combine functional MRI (fMRI) with an experimental economics-based method3 to assess the neural representation of the subjective values of risky and ambiguous options4. This technique can be now used to study these neural representations in different populations, such as different age groups and different patient populations.

In our experiment, subjects make consequential choices between two alternatives while their neural activation is tracked using fMRI. On each trial subjects choose between lotteries that vary in their monetary amount and in either the probability of winning that amount or the ambiguity level associated with winning. Our parametric design allows us to use each individual's choice behavior to estimate their attitudes towards risk and ambiguity, and thus to estimate the subjective values that each option held for them. Another important feature of the design is that the outcome of the chosen lottery is not revealed during the experiment, so that no learning can take place, and thus the ambiguous options remain ambiguous and risk attitudes are stable. Instead, at the end of the scanning session one or few trials are randomly selected and played for real money. Since subjects do not know beforehand which trials will be selected, they must treat each and every trial as if it and it alone was the one trial on which they will be paid. This design ensures that we can estimate the true subjective value of each option to each subject. We then look for areas in the brain whose activation is correlated with the subjective value of risky options and for areas whose activation is correlated with the subjective value of ambiguous options.

Protocol

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1. Preparing the Experiment

  1. The first step is to design visual stimuli representing risky and ambiguous choices that will be presented on the screen in the scanner. We use images such as those presented in Figure 1 to represent bags filled with poker chips which we call "lottery bags". Graphically, these images can be thought of as stacks of poker chips before they are placed in a bag. Importantly, these images represent real containers, in our case envelopes, filled with 100 red and blue poker chips which the subject will see before starting the experiment. This insures that subjects both understand the lotteries they will face and believ....

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Discussion

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We have used a method from experimental economics to characterize subjects' behavior and estimate individual attitudes towards risk and ambiguity. We then used these estimates to analyze neural data.

Other methods for examining fMRI activity while subjects make choices under risk and ambiguity have been used before8,12. Our approach, however, combines several important features. First, it uses a parametric design, in which different parameters (amount, probability and ambiguity leve.......

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Disclosures

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No conflicts of interest declared.

Acknowledgements

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We thank Aldo Rustichini for fruitful discussions and comments on the design.
Funded by NIA grant R01-AG033406 to IL and PWG.

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Materials

List of materials used in this article
NameCompanyCatalog NumberComments
Allegra Head Only 3.0 T MRI ScannerSiemens AGA whole body scanner can also be used
NM-011 transmit head coilNova Medical
E-primePsychology Software ToolsStimuli presentation software
MatlabMathworks

References

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  1. Glimcher, P. W. Understanding risk: a guide for the perplexed. Cogn. Affect Behav. Neurosci. 8, 348-354 (2008).
  2. Camerer, C., Weber, M. Recent Developments in Modeling Preferences - Uncertainty and Ambiguity. Journal of Risk and Uncertainty. 5<....

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Tags

Subjective ValueRisky OptionsAmbiguous OptionsFunctional MRIExperimental EconomicsNeural EncodingMedial Prefrontal CortexStriatum ActivationGeneral Linear ModelMaximum Likelihood

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