
Microeconomic theory maintains that purchases are driven by a combination of consumer preference and price. Using event-related fMRI, we investigated how people weigh these factors to make purchasing decisions. Consistent with neuroimaging evidence suggesting that distinct circuits anticipate gain and loss, product preference activated the nucleus accumbens (NAcc), while excessive prices activated the insula and deactivated the mesial prefrontal cortex (MPFC) prior to the purchase decision. Activity from each of these regions independently predicted immediately subsequent purchases above and beyond self-report variables. These findings suggest that activation of distinct neural circuits related to anticipatory affect precedes and supports consumers' purchasing decisions.
Adult, Cerebral Cortex, Male, Brain Mapping, Adolescent, Economics, Neuroscience(all), Decision Making, Emotions, Prefrontal Cortex, Fear, Magnetic Resonance Imaging, Nucleus Accumbens, Risk-Taking, Reward, Predictive Value of Tests, Neural Pathways, Humans, Female, SYSNEURO
Adult, Cerebral Cortex, Male, Brain Mapping, Adolescent, Economics, Neuroscience(all), Decision Making, Emotions, Prefrontal Cortex, Fear, Magnetic Resonance Imaging, Nucleus Accumbens, Risk-Taking, Reward, Predictive Value of Tests, Neural Pathways, Humans, Female, SYSNEURO
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 940 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 0.1% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 0.1% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 0.1% |
