The DOI matches its Crossref record; 89 of the 89 references it cites were found in a registry or an index.
Does the orbitofrontal cortex signal value?
Open accessAbstract
The orbitofrontal cortex (OFC) has long been implicated in associative learning. Early work by Mishkin and Rolls showed that the OFC was critical for rapid changes in learned behavior, a role that was reflected in the encoding of associative information by orbitofrontal neurons. Over the years, new data—particularly neurophysiological data—have increasingly emphasized the OFC in signaling actual value. These signals have been reported to vary according to internal preferences and judgments and to even be completely independent of the sensory qualities of predictive cues, the actual rewards, and the responses required to obtain them. At the same time, increasingly sophisticated behavioral studies have shown that the OFC is often unnecessary for simple value‐based behavior and instead seems critical when information about specific outcomes must be used to guide behavior and learning. Here, we review these data and suggest a theory that potentially reconciles these two ideas, value versus specific outcomes, and bodies of work on the OFC.
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“It is also monosynaptically connected with cortical structures associated with sensory hedonics and expectancies for specific rewards [15] (OFC), mentalizing and theory of mind [9] (dmPFC), and goal formation and maintenance (dlPFC and frontopolar cortex).”
From Ventromedial prefrontal–subcortical systems and the generation of affective meaning (2012) · cites this paper as [15]
In the citing paper
“Lesions of this system do not result in impairments in responding to cues that are predictive of food rewards, nor do they impair avoidance of a food that has been paired with illness or satiated.”
From Ventromedial prefrontal–subcortical systems and the generation of affective meaning (2012) · cites this paper as [15]
In the citing paper
“However, the system is critical for reinforcer devaluation, a test in which two cues (Pavlovian devaluation) or two actions (instrumental devaluation) are associated with two foods, one of which is subsequently devalued by satiation or pairing with illness.”
From Ventromedial prefrontal–subcortical systems and the generation of affective meaning (2012) · cites this paper as [15]
In the citing paper
“A large literature on appetitive learning also suggests that the MPFC-OFC system is critical for representing the subjective value of the specific outcomes associated with certain cues or actions [15].”
From Ventromedial prefrontal–subcortical systems and the generation of affective meaning (2012) · cites this paper as [15]
In the citing paper
“Converging effects in a number of related paradigms has led to the idea that the OFC-vmPFC system represents expectations about specific outcomes [15,20], which perhaps provides clues as to the roots of conceptual, prospective thought.”
From Ventromedial prefrontal–subcortical systems and the generation of affective meaning (2012) · cites this paper as [15]
In the citing paper
“Lateral OFC appears to be important for the assignment of value to specific cues [15,44], whereas vmPFC is more important for the action value of those items [45], whether behavioral, 'emotional,' or visceromotor.”
From Ventromedial prefrontal–subcortical systems and the generation of affective meaning (2012) · cites this paper as [15]
In the citing paper
“OFC/MPFC lesions abolish the abrupt decrease in Pavlovian or instrumental responses associated with the now-devalued food typically observed in normal animals.”
From Ventromedial prefrontal–subcortical systems and the generation of affective meaning (2012) · cites this paper as [15]
In the citing paper
“A ‘meaning-centered’ view of vmPFC function is closely aligned with recent views of the orbital-medial prefrontal system as involved in ‘goal-directed’ or ‘model-based’ learning [43], representing expectancies about specific outcomes [15], retrieving fear inhibitory memories [74], or the generation of subjective value and emotion based on conceptual information [19].”
From Ventromedial prefrontal–subcortical systems and the generation of affective meaning (2012) · cites this paper as [15]
In the citing paper
“Structural studies also support the role of the vmPFC in representing subjective value/preferences based on current information about contingencies rather than stored preferences (Schoenbaum et al., 2011).”
From Explicit and implicit emotion regulation: a multi-level framework (2017) · cites this paper as Schoenbaum et al., 2011
In the citing paper
“The vmPFC combines information about one’s current context, goals, motivational states and learning history to provide an integrated representation of the expected (subjective, affective) value(s) of actions, stimuli and outcomes (Schoenbaum et al., 2011; Roy et al., 2012; Ochsner and Gross, 2014; Rudebeck and Murray 2014).”
From Explicit and implicit emotion regulation: a multi-level framework (2017) · cites this paper as Schoenbaum et al., 2011
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Citations
Cites
Deciding advantageously before knowing the advantageous strategy
Bechara, A., Damasio, H., Tranel, D., & Damasio, A. R. (1997) · Science · doi:10.1126/science.275.5304.1293 · Cited by 3,547
Daw, N. D., Niv, Y., & Dayan, P. (2005) · Nature Neuroscience · doi:10.1038/nn1560 · Cited by 2,533
Emotion and motivation: the role of the amygdala, ventral striatum, and prefrontal cortex
Cardinal, R. N., Parkinson, J. A., Hall, J., & Everitt, B. J. (2002) · Neuroscience & Biobehavioral Reviews · doi:10.1016/s0149-7634(02)00007-6 · Cited by 2,129
Abstract reward and punishment representations in the human orbitofrontal cortex
O'Doherty, J., Kringelbach, M. L., Rolls, E. T., Hornak, J., & Andrews, C. (2001) · Nature Neuroscience · doi:10.1038/82959 · Cited by 2,003
Neurons in the orbitofrontal cortex encode economic value
Padoa-Schioppa, C., & Assad, J. A. (2006) · Nature · doi:10.1038/nature04676 · Cited by 1,598
Temporal difference models and reward-related learning in the human brain
O'Doherty, J. P., Dayan, P., Friston, K., Critchley, H., & Dolan, R. J. (2003) · Neuron · doi:10.1016/s0896-6273(03)00169-7 · Cited by 1,522
Relative reward preference in primate orbitofrontal cortex
Tremblay, L., & Schultz, W. (1999) · Nature · doi:10.1038/19525 · Cited by 1,314
Encoding Predictive Reward Value in Human Amygdala and Orbitofrontal Cortex
Gottfried, J. A., O'Doherty, J., & Dolan, R. J. (2003) · Science · doi:10.1126/science.1087919 · Cited by 1,165
Single neurons in prefrontal cortex encode abstract rules
Wallis, J. D., Anderson, K. C., & Miller, E. K. (2001) · Nature · doi:10.1038/35082081 · Cited by 1,075
Rolls, E. T., Hornak, J., Wade, D., & McGrath, J. (1994) · Journal of Neurology, Neurosurgery & Psychiatry · doi:10.1136/jnnp.57.12.1518 · Cited by 1,005
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Research works printed but not linked: 4
- Pears A., 2001, Effects of orbitofrontal cortex lesions on responding with conditioned reinforcement, Brain Cogn., 47, 44
- Schoenbaum G., 2010, Neural activity in orbitofrontal cortex reflects a real‐time estimate of rats’ expectations for reward, Soc. Neurosci. Abstracts
- 10.1037/0097-7403.1.4.355 · DOI
- Liu T., 2011, Neural activity in the orbitofrontal cortex and ventral striatum in response to changes in value versus identity of expected rewards, Soc. Neurosci. Abstracts
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Yoshimoto, T., Okazaki, S., Sumiya, M., Takahashi, H. K., Nakagawa, E., Koike, T., Kitada, R., Okamoto, S., Nakata, M., Yada, T., et al. (2022) · Neuroscience Research · doi:10.1016/j.neures.2022.02.004 · Cited by 1
Dorman, S. (2021) · doi:10.1093/med/9780198821328.003.0053 · Cited by 1
Funayama, M. (2023) · Higher Brain Function Research · doi:10.2496/hbfr.43.172 · Cited by 1
Huffcutt, A. I., Liu, W., & Russell‐Chapin, L. A. (2018) · Personnel Assessment and Decisions · doi:10.25035/pad.2018.02.004 · Cited by 2
Flexible adjustment of anticipations in human outcome processing
Alaoui, S. H., Adam‐Darqué, A., & Schnider, A. (2022) · Scientific Reports · doi:10.1038/s41598-022-12741-0 · Cited by 1
Chen, K., Anderson, S. W., Schultz, S. K., Shim, H., Chapleau, M. W., Aksan, N. S., Narayanan, N. S., & Rizzo, M. (2015) · doi:10.17077/etd.ajahf6p4 · Cited by 1
Resting-State Functional Connections of the Amygdala in Patients with Major Depressive Disorder
Konduru, N. (2013) · Libraries and Cultural Resources (University of Calgary) · doi:10.11575/prism/27653 · Cited by 1
Emotion Regulation in Relation to Cognitive Functioning in the Preclinical Stages of Dementia
Meltzer, E. P. (2016) · CUNY Academic Works (City University of New York) · Cited by 1
Lerman, I. R., Davis, B., Huang, M., Huang, C. W., Sorkin, L., Proudfoot, J., Zhong, E., Kimball, D., Rao, R., Simon, B., et al. (2018) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/367979 · Cited by 1
Explicit and Implicit Emotion Regulation
Braunstein, L. M., & Ochsner, K. N. (2018) · Wiley eBooks · doi:10.1002/9781119170174.epcn415 · Cited by 1
Differential encoding of safe and risky offersPreprint
Maisson, D. J.-N., Yoo, S. B. M., Wang, M. Z., Cash-Padgett, T. V., Zimmermann, J., & Hayden, B. Y. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.01.07.425153 · Cited by 1
Orthogonal but linked neural codes for valuePreprint
Maisson, D. J.-N., Fine, J. M., Yoo, S. B. M., Cash-Padgett, T. V., Wang, M. Z., Sleezer, B. J., Zimmermann, J., & Hayden, B. Y. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.07.27.453966 · Cited by 1
Sinha, S. R., McGovern, R. A., Sheth, S. A., & McKhann, G. M. (2015) · Neurosurgery · doi:10.1227/neu.0000000000000640
Multiple value systems for adaptive decision-making
Economides, M. (2015) · UCL Discovery (University College London)
The Biological Basis of Economic Choice
Freestone, D. M., & Balcı, F. (2017) · Wiley eBooks · doi:10.1002/9781118540770.ch7
Prosocial Behavior and Neurodegenerative Disease
Lwi, S. J. (2016) · eScholarship (California Digital Library)
船山, 道. (2017) · 神経心理学 · doi:10.20584/neuropsychology.17013
Battaglia, S. (2020) · AMS Dottorato Institutional Doctoral Theses Repository (University of Bologna) · doi:10.6092/unibo/amsdottorato/9085
Li, C., & Tsai, C. (2021) · arXiv (Cornell University) · doi:10.48550/arxiv.2104.10957
Faculty Opinions recommendation of Habits without values.
Milton, A. L. (2021) · Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature · doi:10.3410/f.734918397.793583295
(2022) · The MIT Press eBooks · doi:10.7551/mitpress/14636.003.0017
Arya, B., Patrick, M. M., Pei, H., Law, E. C., Broekman, B. F. P., Chen, H. Y., Gwan, M. C. H., Yap, F. K. P., Lee, Y. S., Tan, K. H., et al. (2024) · Attachment & Human Development · doi:10.1080/14616734.2024.2404591
Aligned Minds, Efficient Machines
Kennedy, B. (2025) · IGI Global eBooks · doi:10.4018/979-8-3373-5702-7.ch005
Crooks, K. E., Hampson, C. L., Peraza, J. A., Perez, P. M. V., & Sutherland, M. T. (2026) · Scientific Reports · doi:10.1038/s41598-026-40818-7
Barillier, L. L., Doyère, V., & Kononowicz, T. W. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.03.25.714178
Cortex préfrontal et flexibilité comportementale : implication de la noradrénaline
Cerpa, J.-C. (2019) · theses.fr (ABES) · doi:10.70675/d4f665b9z3943z4c88z9b4bzbf11cd7cf8d1
Sound propagation and quantum-limited damping in an ultracold two-dimensional Fermi gas
Bohlen, M. (2020) · theses.fr (ABES) · doi:10.70675/28e5341dzd84cz41fezb48bz2ea33c27b403
Building and comparing values from different sources
Garcia, B. (2022) · theses.fr (ABES) · doi:10.70675/ee161594z13f1z47c7z99b3zf21f5415b5ca
Kim, Y., Yoon, D., Kim, J., Lee, J., & Choi, S. (2026) · Biochemical and Biophysical Research Communications · doi:10.1016/j.bbrc.2026.154094
Kim, K. I., Yu, D., Wade, W. F., Zdziarski-West, R., Ahmad, Z., Cutler, M., Romanelli, G., Daki, A., & Grella, S. L. (2026) · Psychopharmacology · doi:10.1007/s00213-026-07180-y
Takaaki, Y. (n.d.) · Institutional Repositories DataBase (IRDB)
Metadata
- Authors
- Schoenbaum, G., Takahashi, Y., Liu, T., & McDannald, M. A.
- Affiliations
- University of Maryland, Baltimore (US)
- National Taiwan University (TW)
- Corresponding author
- Schoenbaum, Geoffrey
- Venue
- Annals of the New York Academy of Sciences
- Publisher
- Wiley
- Published
- 2011-12
- Volume
- 1239
- Issue
- 1
- Pages
- 87-99
- ISSN
- 0077-8923 (ISSN-L)
- 1749-6632
- PMC
- PMC3530400
- OpenAlex
- W2129586271
- Cited by
- 232
- References
- 89
- Citations by year
- 2026: 4 · 2025: 7 · 2024: 9 · 2023: 9 · 2022: 11 · 2021: 19 · 2020: 11 · 2019: 17 · 2018: 16 · 2017: 20 · 2016: 27 · 2015: 25 · 2014: 29 · 2013: 15 · 2012: 12
- FWCI
- 1.52
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Annals of the New York Academy of Sciences (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institutes of Health (Z99 DA999999)
- National Institute on Drug Abuse (R01DA015718, ZIADA000587)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neurotransmitter Receptor Influence on Behavior
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
- Keywords
- orbitofrontal cortex, associative learning, reward prediction, predictive cues, decision-making
- MeSH terms
- Animals, Behavior, Animal, Brain Mapping, Frontal Lobe, Humans, Learning, Models, Psychological, Neurons, Physiology, Comparative, Reinforcement, Psychology, Reversal Learning, Social Behavior, Social Values
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