DOI: 10.14704/nq.2018.16.6.1616

Cognitive Neural Mechanism in Economic Decision-making

Yang Zhang

Abstract


The purpose is to analyze the cognitive neural mechanism in economic decision-making. This study adopts gambling task, manipulation probability and change of potency to systematically explore the cognitive process of economic decision-making when the expected value is equal to, smaller than, and greater than the reference value. It is found that the influence of probability on individual’s decision-making is bigger when the expected value is greater than or equal to the reference value. When the expected value is smaller than the reference value, the individual tends to consider the probability and the potency (i.e. the expected value) simultaneously in decision-making. The conclusions have been drawn that the brain activation data of PCC can be well fitted with the behavior data (acceptance rate) under the condition of high, middle and low potency, which indicates that it may be a sensitive brain region for the evaluation of potency; and the negative emotion in insula plays an important regulating role in decision-making.

Keywords


Neural Mechanism, Economic Decision-making, Nuclear Magnetic Resonance

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