Neural Systems Responding to Degrees of Uncertainty in Human Decision-Making

Author:

Hsu Ming12,Bhatt Meghana12,Adolphs Ralph12,Tranel Daniel12,Camerer Colin F.12

Affiliation:

1. Division of Humanities and Social Sciences, 228-77, California Institute of Technology, Pasadena, CA 91125, USA.

2. University of Iowa Medical School, Iowa City, IA 52242, USA.

Abstract

Much is known about how people make decisions under varying levels of probability (risk). Less is known about the neural basis of decision-making when probabilities are uncertain because of missing information (ambiguity). In decision theory, ambiguity about probabilities should not affect choices. Using functional brain imaging, we show that the level of ambiguity in choices correlates positively with activation in the amygdala and orbitofrontal cortex, and negatively with a striatal system. Moreover, striatal activity correlates positively with expected reward. Neurological subjects with orbitofrontal lesions were insensitive to the level of ambiguity and risk in behavioral choices. These data suggest a general neural circuit responding to degrees of uncertainty, contrary to decision theory.

Publisher

American Association for the Advancement of Science (AAAS)

Subject

Multidisciplinary

Reference34 articles.

1. Recent developments in modeling preferences: Uncertainty and ambiguity

2. Risk, Ambiguity, and the Savage Axioms

3. What Price Ambiguity? or the Role of Ambiguity in Decision-Making

4. Risk and Uncertainty 1968

5. If ambiguous probabilities are subadditive then 1 – P amb (red) – P amb (blue) represents reserved belief and indexes the degree of aversion to ambiguity. Some models assume that probabilities are additive but are set-valued and assume that the worst probability in the set determines their chances ( 6 7 ). This model and others are silent about possible neural circuitry.

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