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Appetitive and Aversive Goal Values Are Encoded in the Medial Orbitofrontal Cortex at the Time of Decision Making
Open accessAbstract
An essential feature of choice is the assignment of goal values (GVs) to the different options under consideration at the time of decision making. This computation is done when choosing among appetitive and aversive items. Several groups have studied the location of GV computations for appetitive stimuli, but the problem of valuation in aversive contexts at the time of decision making has been ignored. Thus, although dissociations between appetitive and aversive components of value signals have been shown in other domains such as anticipatory and outcome values, it is not known whether appetitive and aversive GVs are computed in similar brain regions or in separate ones. We investigated this question using two different functional magnetic resonance imaging studies while human subjects placed real bids in an economic auction for the right to eat/avoid eating liked/disliked foods. We found that activity in a common area of the medial orbitofrontal cortex and the dorsolateral prefrontal cortex correlated with both appetitive and aversive GVs. These findings suggest that these regions might form part of a common network.
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“It is also consistent with the strong projections between the VS and the medial orbitofrontal cortex (mOFC), an area well known for its involvement in utility estimation [53,54].”
From Contributions of the striatum to learning, motivation, and performance: an associative account (2012) · cites this paper as [54]
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Cites
Prospect Theory: An Analysis of Decision under Risk
Kahneman, D., & Tversky, A. (1979) · Econometrica · doi:10.2307/1914185 · Cited by 48,524
Prospect theory: An analysis of decision under risk
Kahneman, D. J., & Tversky, A. (1988) · Cambridge University Press eBooks · doi:10.1017/cbo9780511609220.014 · Cited by 32,720
An Integrative Theory of Prefrontal Cortex Function
Miller, E. K., & Cohen, J. D. (2001) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.24.1.167 · Cited by 12,803
Predictive reward signal of dopamine neurons
Schultz, W. (1998) · Journal of Neurophysiology · doi:10.1152/jn.1998.80.1.1 · Cited by 4,564
The neural basis of economic decision-making in the Ultimatum Game.
Sanfey, A. G., Rilling, J. K., Aronson, J. A., Nystrom, L. E., & Cohen, J. D. (2003) · Science · doi:10.1126/science.1082976 · Cited by 3,375
Measuring utility by a single-response sequential method
Becker, G. M., DeGroot, M. H., & Marschak, J. (1964) · Systems Research and Behavioral Science · doi:10.1002/bs.3830090304 · Cited by 2,720
Daw, N. D., Niv, Y., & Dayan, P. (2005) · Nature Neuroscience · doi:10.1038/nn1560 · Cited by 2,533
Both of Us Disgusted in My Insula
Wicker, B., Keysers, C., Plailly, J., Royet, J.-P., Gallese, V., & Rizzolatti, G. (2003) · Neuron · doi:10.1016/s0896-6273(03)00679-2 · Cited by 2,185
A framework for studying the neurobiology of value-based decision making
Rangel, A., Camerer, C., & Montague, P. R. (2008) · Nature Reviews Neuroscience · doi:10.1038/nrn2357 · Cited by 2,184
Self-citationThe prefontral cortex and cognitive control
Miller, E. K. (2000) · Nature Reviews Neuroscience · doi:10.1038/35036228 · Cited by 2,016
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Jasinska, A. J. (2011) · Deep Blue (University of Michigan)
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Rodriguez-Insuasti, H. U., & LEON, M. (2025) · Springer proceedings in business and economics · doi:10.1007/978-3-031-94901-2_11
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Lopez‐Persem, A. (2016) · theses.fr (ABES) · doi:10.70675/d4ee5e83z099dz4d34z89ddzf182df6a9cf2 · Cited by 1
Order matters : the effect of sequential presentation on economic decision making
Hu, C. (2019) · theses.fr (ABES) · doi:10.70675/c9a41438z9143z4fa3z83ffz28b6952f6851
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Genser, L. (2017) · theses.fr (ABES) · doi:10.70675/b31dde1bz1941z4398zaa56z406e97d709fa
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Bornert, P. (2021) · theses.fr (ABES) · doi:10.70675/665d6bd7ze2f5z41c9z93f8z764be3c6d822
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Basanisi, R. (2021) · theses.fr (ABES) · doi:10.70675/2b7d6591z8d6ez4ea4zbaefz320275b736b1
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Luo, Y., Liao, J., Zhang, W., Guan, S., & Xu, Z. (2026) · International Journal of Hospitality Management · doi:10.1016/j.ijhm.2026.104723
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Sambuco, N., & Versace, F. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.05.10.724107
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Stewart, N. R., Valenzano, S. L., Zhang, J., Chu, S., Wu, Z., Javid, J. K., Lee, A. C. H., & Ito, R. (2026) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2601203123
Seara‐Cardoso, A. (2013) · UCL Discovery (University College London)
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Stuphorn, V., & Chen, X. (2015) · Springer eBooks · doi:10.1007/978-1-4939-2236-9_6
Metadata
- Authors
- Plassmann, H., O'Doherty, J. P., & Rangel, A.
- Affiliations
- INSEAD (FR)
- California Institute of Technology (US)
- Corresponding author
- Rangel, Antonio
- Venue
- The Journal of Neuroscience
- Publisher
- Society for Neuroscience
- Published
- 2010-08-11
- Volume
- 30
- Issue
- 32
- Pages
- 10799-10808
- ISSN
- 0270-6474 (ISSN-L)
- 1529-2401
- PMC
- PMC6634706
- OpenAlex
- W2150409513
- Cited by
- 356
- References
- 66
- Citations by year
- 2026: 6 · 2025: 11 · 2024: 16 · 2023: 15 · 2022: 9 · 2021: 21 · 2020: 20 · 2019: 25 · 2018: 23 · 2017: 26 · 2016: 30 · 2015: 30 · 2014: 34 · 2013: 39 · 2012: 24
- FWCI
- 17.21
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Journal of Neuroscience (publishedVersion, cc-by-nc-sa)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- CaltechAUTHORS (California Institute of Technology) (submittedVersion)
- Funders
- National Science Foundation (0134618)
- Gordon and Betty Moore Foundation
- California Institute of Technology
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Social Sciences › Decision Sciences › General Decision Sciences › Decision-Making and Behavioral Economics
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neurotransmitter Receptor Influence on Behavior
- Keywords
- goal value, medial orbitofrontal cortex, dorsolateral prefrontal cortex, decision-making, value coding, food choice
- MeSH terms
- Adolescent, Adult, Appetite, Brain Mapping, Decision Making, Female, Goals, Humans, Image Processing, Computer-Assisted, Magnetic Resonance Imaging, Male, Middle Aged, Oxygen, Reward, Time Factors, Linear Models, Prefrontal Cortex, Young Adult
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