Abstract
People display rich heterogeneity in decision-making, but from where do these individual differences originate? And what are the processes that underlie decision-making heterogeneity? In this chapter, we explore a ‘neural trait approach’ in which neuroscience measures of meaningful dispositional differences are used to illuminate the sources of variability in decision-making. We begin by outlining the neural trait approach, with a focus on two methods: resting state electroencephalography and structural magnetic resonance imaging. Next, we review innovative studies that have used these methodologies to explore time and social preferences in decision-making. We then outline future research considerations and close by discussing certain opportunities and challenges afforded by this research and the neural trait approach in general.
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Nash, K., Knoch, D. (2016). Individual Differences in Decision-Making: A Neural Trait Approach to Study Sources of Behavioral Heterogeneity. In: Reuter, M., Montag, C. (eds) Neuroeconomics. Studies in Neuroscience, Psychology and Behavioral Economics. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35923-1_11
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