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Mind the gap: bridging economic and naturalistic risk-taking with cognitive neuroscience
Open accessAbstract
Economists define risk in terms of variability of possible outcomes whereas clinicians and laypeople generally view risk as exposure to possible loss or harm. Neuroeconomic studies using relatively simple behavioral tasks have identified a network of brain regions that respond to economic risk, but these studies have had limited success predicting naturalistic risk-taking. In contrast, more complex behavioral tasks developed by clinicians (e.g., Balloon Analogue Risk Task and Iowa Gambling Task) correlate with naturalistic risk-taking but resist decomposition into distinct cognitive constructs. We propose that to bridge this gap and better understand neural substrates of naturalistic risk-taking, new tasks are needed that: (1) are decomposable into basic cognitive/economic constructs; (2) predict naturalistic risk-taking; and (3) engender dynamic, affective engagement.
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Cited by
Toward a second-person neuroscience
Schilbach, L., Timmermans, B., Reddy, V., Costall, A., Bente, G., Schlicht, T., & Vogeley, K. (2013) · Behavioral and Brain Sciences · doi:10.1017/s0140525x12000660 · Cited by 1,510
Stability and change in risk-taking propensity across the adult life span.
Josef, A. K., Richter, D., Samanez-Larkin, G. R., Wagner, G. G., Hertwig, R., & Mata, R. (2016) · Journal of Personality and Social Psychology · doi:10.1037/pspp0000090 · Cited by 305
Lauriola, M., Panno, A., Levin, I. P., & Lejuez, C. W. (2014) · Journal of Behavioral Decision Making · doi:10.1002/bdm.1784 · Cited by 257
Nejati, V., Salehinejad, M. A., & Nitsche, M. A. (2018) · Neuroscience · doi:10.1016/j.neuroscience.2017.10.042 · Cited by 243
Dong, G., & Potenza, M. N. (2016) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2015.11.011 · Cited by 163
Metadata
- Authors
- Schonberg, T., Fox, C. R., & Poldrack, R. A.
- Venue
- Trends in Cognitive Sciences
- Publisher
- Elsevier BV
- Published
- 2011-01
- Volume
- 15
- Issue
- 1
- Pages
- 11-19
- ISSN
- 1364-6613 (ISSN-L)
- OpenAlex
- W1990041951
- Cited by
- 330
- References
- 100
- FWCI
- 1.11
- Type
- journal article
- Language
- en
- Open access
- green
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
