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Neural Economics and the Biological Substrates of Valuation
Open accessAbstract
A recent flurry of neuroimaging and decision-making experiments in humans, when combined with single-unit data from orbitofrontal cortex, suggests major additions to current models of reward processing. We review these data and models and use them to develop a specific computational relationship between the value of a predictor and the future rewards or punishments that it promises. The resulting computational model, the predictor-valuation model (PVM), is shown to anticipate a class of single-unit neural responses in orbitofrontal and striatal neurons. The model also suggests how neural responses in the orbitofrontal-striatal circuit may support the conversion of disparate types of future rewards into a kind of internal currency, that is, a common scale used to compare the valuation of future behavioral acts or stimuli.
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“In contrast, risk taking is associated with an increase in accumbens activity (Kuhnen & Knutson 2005; Matthews et al. 2004; Montague & Berns 2002) that is exaggerated in adolescents, relative to both children and adults (Ernst et al. 2005; Galvan et al. 2006).”
From The Adolescent Brain (2008) · cites this paper as Montague & Berns 2002
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“A number of studies have shown increases in activity in the nucleus accumbens immediately prior to making risky choices on monetary-risk paradigms (Kuhnen & Knutson 2005; Matthews et al. 2004; Montague & Berns 2002)”
From The Adolescent Brain (2008) · cites this paper as Montague & Berns 2002
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Abnormal Responses to Monetary Outcomes in Cortex, but not in the Basal Ganglia, in Schizophrenia
Waltz, J. A., Schweitzer, J. B., Ross, T. J., Kurup, P. K., Salmeron, B. J., Rose, E. J., Gold, J. M., & Stein, E. A. (2010) · Neuropsychopharmacology · doi:10.1038/npp.2010.126 · Cited by 151
How Self-Determined Choice Facilitates Performance: A Key Role of the Ventromedial Prefrontal Cortex
Murayama, K., Matsumoto, M., Izuma, K., Sugiura, A., Ryan, R. M., Deci, E. L., & Matsumoto, K. (2015) · Cerebral Cortex · doi:10.1093/cercor/bht317 · Cited by 143
Reputation for reciprocity engages the brain reward center
Phan, K. L., Sripada, C. S., Angstadt, M., & McCabe, K. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1008137107 · Cited by 152
Bidirectional modulation of goal-directed actions by prefrontal cortical dopamine
Hitchcott, P. K., Quinn, J. J., & Taylor, J. R. (2007) · Cerebral Cortex · doi:10.1093/cercor/bhm010 · Cited by 143
Reward-related processing in the human brain: developmental considerations
Fareri, D. S., Martin, L. N., & Delgado, M. R. (2008) · Development and Psychopathology · doi:10.1017/s0954579408000576 · Cited by 141
Neural systems underlying aversive conditioning in humans with primary and secondary reinforcers
Delgado, M. R., Jou, R. L., & Phelps, E. A. (2011) · Frontiers in Neuroscience · doi:10.3389/fnins.2011.00071 · Cited by 141
Functional neuroimaging of intertemporal choice models: a review
Carter, R. M., Meyer, J. R., & Huettel, S. A. (2010) · Journal of Neuroscience Psychology and Economics · doi:10.1037/a0018046 · Cited by 124
Separate and overlapping brain areas encode subjective value during delay and effort discounting
Massar, S. A. A., Libedinsky, C., Weiyan, C., Huettel, S. A., & Chee, M. W. L. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.06.080 · Cited by 123
The effects of insula damage on decision-making for risky gains and losses
Weller, J. A., Levin, I. P., Shiv, B., & Bechara, A. (2009) · Social Neuroscience · doi:10.1080/17470910902934400 · Cited by 119
The Value of Exercising Control Over Monetary Gains and Losses
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“The recruitment of neural circuitry involved in reward-related processes, such as VS (Delgado, 2007; Montague & Berns, 2002; O’Doherty, 2004; Rangel, Camerer, & Montague, 2008; Robbins & Everitt, 1996), suggests that in the context of positive outcomes, choice opportunity may be inherently valuable.”
The case against economic values in the orbitofrontal cortex (or anywhere else in the brain).
Hayden, B. Y., & Niv, Y. (2021) · Behavioral Neuroscience · doi:10.1037/bne0000448 · Cited by 127
Social rewards: From basic social building blocks to complex social behavior
Tamir, D. I., & Hughes, B. L. (2018) · Perspectives on Psychological Science · doi:10.1177/1745691618776263 · Cited by 109
Berns, G. S., Moore, S., & Capra, C. M. (2009) · PLoS ONE · doi:10.1371/journal.pone.0006773 · Cited by 91
Self-citationIntangibility in intertemporal choice
Rick, S., & Loewenstein, G. (2008) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2008.0150 · Cited by 95
Aversive stimuli and loss in the mesocorticolimbic dopamine system
Brooks, A. M., & Berns, G. S. (2013) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2013.04.001 · Cited by 85
Self-citationAxiomatic methods, dopamine and reward prediction error
Caplin, A., & Dean, M. (2008) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2008.07.007 · Cited by 88
Sleep deprivation alters valuation signals in the ventromedial prefrontal cortex
Libedinsky, C., Smith, D. V., Teng, C. S., Namburi, P., Chen, V. W., Huettel, S. A., & Chee, M. W. L. (2011) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2011.00070 · Cited by 79
Dong, G., Lin, X., Hu, Y., Xie, C., & Du, X. (2015) · Scientific Reports · doi:10.1038/srep09197 · Cited by 76
Schneider-Hassloff, H., Straube, B., Jansen, A., Nuscheler, B., Wemken, G., Witt, S. H., Rietschel, M., & Kircher, T. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.04.009 · Cited by 71
Yarkoni, T., Gray, J. R., Chrastil, E. R., Barch, D. M., Green, L., & Braver, T. S. (2005) · Cognitive Brain Research · doi:10.1016/j.cogbrainres.2005.01.013 · Cited by 59
Metadata
- Authors
- Montague, P. R., & Berns, G. S.
- Affiliations
- Baylor College of Medicine (US)
- Emory University (US)
- Corresponding author
- Montague, P.Read
- Venue
- Neuron
- Publisher
- Elsevier BV
- Published
- 2002-10
- Volume
- 36
- Issue
- 2
- Pages
- 265-284
- ISSN
- 0896-6273 (ISSN-L)
- OpenAlex
- W2117403214
- Cited by
- 994
- References
- 9
- Citations by year
- 2026: 7 · 2025: 17 · 2024: 66 · 2023: 23 · 2022: 20 · 2021: 21 · 2020: 24 · 2019: 43 · 2018: 36 · 2017: 25 · 2016: 32 · 2015: 35 · 2014: 45 · 2013: 54 · 2012: 66
- FWCI
- 2.75
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Neuron (publishedVersion)
- PubMed (publishedVersion)
- UCL Discovery (University College London) (submittedVersion)
- Funders
- National Institutes of Health (5r01mh061010-02)
- National Institute of Mental Health (R01 MH61010, R01MH52797, R01MH052797)
- National Institute on Drug Abuse (K08 DA00367, K08DA000367, R01-DA11723, R01DA011723)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neurotransmitter Receptor Influence on Behavior
- Social Sciences › Decision Sciences › General Decision Sciences › Decision-Making and Behavioral Economics
- Keywords
- valuation, reward processing, orbitofrontal cortex, striatum, single-unit activity, computational model, prediction error, decision-making
- MeSH terms
- Animals, Brain, Choice Behavior, Forecasting, Humans, Models, Neurological, Neurons, Reward
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