The DOI matches its Crossref record; 60 of the 60 references it cites were found in a registry or an index.
Contributions of the ventromedial prefrontal cortex to goal-directed action selection
Abstract
In this article, it will be argued that one of the key contributions of the ventromedial prefrontal cortex (vmPFC) to goal-directed action selection lies both in retrieving the value of goals that are the putative outcomes of the decision process and in establishing a relative preference ranking for these goals by taking into account the value of each of the different goals under consideration in a given decision-making scenario. These goal-value signals are then suggested to be used as an input into the on-line computation of action values mediated by brain regions outside of the vmPFC, such as parts of the parietal cortex, supplementary motor cortex, and dorsal striatum. Collectively, these areas can be considered to be constituent elements of a multistage decision process whereby the values of different goals must first be represented and ranked before the value of different courses of action available for the pursuit of those goals can be computed.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Critically, the idea that prospective outcomes are explicitly represented allows these states to be valued (putatively via the orbitofrontal or ventromedial prefrontal cortex) (Valentin et al., 2007; Fellows, 2011; O’Doherty, 2011) according to their current worth and so choices can be immediately sensitive to devaluation.”
From Goals and Habits in the Brain (2013) · cites this paper as O’Doherty, 2011
Citations
Cites
The Neural Basis of Decision Making
Gold, J. I., & Shadlen, M. N. (2007) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.29.051605.113038 · Cited by 3,764
Daw, N. D., Niv, Y., & Dayan, P. (2005) · Nature Neuroscience · doi:10.1038/nn1560 · Cited by 2,533
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
Balleine, B. W., & O'Doherty, J. P. (2010) · Neuropsychopharmacology · doi:10.1038/npp.2009.131 · Cited by 1,775
Neural correlates of decision variables in parietal cortex
Platt, M. L., & Glimcher, P. W. (1999) · Nature · doi:10.1038/22268 · Cited by 1,721
Neurons in the orbitofrontal cortex encode economic value
Padoa-Schioppa, C., & Assad, J. A. (2006) · Nature · doi:10.1038/nature04676 · Cited by 1,598
Goal-directed instrumental action: contingency and incentive learning and their cortical substrates
Balleine, B. W., & Dickinson, A. (1998) · Neuropharmacology · doi:10.1016/s0028-3908(98)00033-1 · Cited by 1,541
Neural Correlates of Behavioral Preference for Culturally Familiar Drinks
McClure, S. M., Li, J., Tomlin, D., Cypert, K. S., Montague, L. M., & Montague, P. R. (2004) · Neuron · doi:10.1016/j.neuron.2004.09.019 · Cited by 1,413
Relative reward preference in primate orbitofrontal cortex
Tremblay, L., & Schultz, W. (1999) · Nature · doi:10.1038/19525 · Cited by 1,314
Dissociation of reward anticipation and outcome with event-related fMRI
Knutson, B., Fong, G. W., Adams, C. M., Varner, J. L., & Hommer, D. (2001) · Neuroreport · doi:10.1097/00001756-200112040-00016 · Cited by 1,300
Cited by
Sorted by citations
Items 201–225 of 225
Literary Analysis and Weak Theories
Moses, O. (2020) · Cambridge University Press eBooks · doi:10.1017/9781108695374.022
Experience-Dependent Plasticity in the Hippocampus
West, G. L., & Bohbot, V. D. (2020) · Cambridge University Press eBooks · doi:10.1017/9781108695374.019
Letkiewicz, A. M., Cochran, A. L., Mittal, V. A., Walther, S., & Shankman, S. A. (2021) · doi:10.31234/osf.io/te4dq
Reward-Punishment Processing and Learning
Kim, H. (2021) · Elsevier eBooks · doi:10.1016/b978-0-12-819641-0.00150-x
How Social Coordination and Cooperation are Achieved
Kirmayer, L. J., Worthman, C. M., Kitayama, S., Lemelson, R., & Cummings, C. A. (2020) · Cambridge University Press eBooks · doi:10.1017/9781108695374.013
Kirmayer, L. J., Worthman, C. M., Kitayama, S., Lemelson, R., & Cummings, C. A. (2020) · Cambridge University Press eBooks · doi:10.1017/9781108695374.001
The Co-emergence of Culture, Mind, and Brain
Kirmayer, L. J., Worthman, C. M., Kitayama, S., Lemelson, R., & Cummings, C. A. (2020) · Cambridge University Press eBooks · doi:10.1017/9781108695374.004
Kirmayer, L. J., Worthman, C. M., Kitayama, S., Lemelson, R., & Cummings, C. A. (2020) · Cambridge University Press eBooks · doi:10.1017/9781108695374.008
(2020) · Cambridge University Press eBooks · doi:10.1017/9781108695374.017
Kirmayer, L. J., Worthman, C. M., Kitayama, S., Lemelson, R., & Cummings, C. A. (2020) · Cambridge University Press eBooks · doi:10.1017/9781108695374.029
Bypassing Striatal Learning Mechanisms Using Delayed Feedback to Circumvent Learning Deficits in TBIPreprint
Dobryakova, E., Tong, T. T., Iosipchuk, O., Lequerica, A. H., Schneider, V., Chiaravalloti, N. D., & Sandry, J. D. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.12.27.573465
Brain Imaging of Social Preferences That Modulate Human Financial Decision Making
Ogawa, A. (2024) · The Brain & Neural Networks · doi:10.3902/jnns.31.82
Abstinence from Substance Use & The Value of ControlPreprint
Giovanni, E. M., & Liljeholm, M. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.05.02.651720
Navigating leadership dilemmas: neural mechanisms balancing social approval and group performance
Kim, D., Kim, J., Kim, K.-I., & Kim, H. (2025) · Cerebral Cortex · doi:10.1093/cercor/bhaf108
Tricoche, L., & Caspar, É. A. (2025) · OSF Preprints (OSF Preprints) · doi:10.31219/osf.io/s6jtk_v2
Stein, J., Ruge, H., Wolfensteller, U., Goschke, T., & Zwosta, K. (2025) · Imaging Neuroscience · doi:10.1162/imag.a.956
Framing as a mechanism to overcome the temptation of bad habits
Wang, S., & Monterosso, J. R. (2025) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2025.1683756
Cheng, H., & Brown, J. W. (2024) · neural information processing systems · doi:10.52202/079017-0104
Neural dynamics of covert habit activation and control in humansPreprint
Buabang, E. K., Suddell, S. F., Grogan, J. P., Cox, A., Martin, N. S., Donegan, K. R., Rafei, P., O’Connell, R. G., & Gillan, C. M. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.11.12.687990
Ojha, A., Henry, T. R., Jones, N. P., Shirtcliff, E. A., & Ladouceur, C. D. (2026) · Neuropsychopharmacology · doi:10.1038/s41386-026-02378-2
A closed loop framework of decision-making and learning in primate prefrontal circuits.
Nallapu, B. T. (2019) · theses.fr (ABES) · doi:10.70675/ec68f782z2b3ez44f3zb24fzeafa25ff668c · Cited by 1
Βases cérébrales du compromis coûts/bénéfices
Clairis, N. (2020) · theses.fr (ABES) · doi:10.70675/5e0e9c10z2c72z4ed2zb4caz900659cedbc0
Substance use and the value of control
Giovanni, E., & Liljeholm, M. (2026) · Cognitive Affective & Behavioral Neuroscience · doi:10.3758/s13415-026-01451-z
Ding, W., Cockburn, J., Simon, J. P., Johri, A., Cho, S. J., Oh, S., Feusner, J. D., Tadayonnejad, R., & O’Doherty, J. P. (2026) · Cell Reports · doi:10.1016/j.celrep.2026.117454 · Cited by 1
Dyadic emotional and cognitive shifts in moral decision-making: EEG and autonomic similarity
Angioletti, L., Ciminaghi, F., & Balconi, M. (2026) · Social Neuroscience · doi:10.1080/17470919.2026.2684410
Metadata
- Authors
- O’Doherty, J. P.
- Affiliations
- California Institute of Technology (US)
- Corresponding author
- O’Doherty, John P.
- ORCID
- O’Doherty, John P.
- Venue
- Annals of the New York Academy of Sciences
- Publisher
- Wiley
- Published
- 2011-12
- Volume
- 1239
- Issue
- 1
- Pages
- 118-129
- ISSN
- 0077-8923 (ISSN-L)
- 1749-6632
- OpenAlex
- W1766116129
- Cited by
- 225
- References
- 60
- Citations by year
- 2026: 8 · 2025: 13 · 2024: 9 · 2023: 12 · 2022: 11 · 2021: 13 · 2020: 41 · 2019: 8 · 2018: 13 · 2017: 16 · 2016: 15 · 2015: 22 · 2014: 17 · 2013: 17 · 2012: 10
- FWCI
- 1.20
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Annals of the New York Academy of Sciences (publishedVersion)
- PubMed (publishedVersion)
- CaltechAUTHORS (California Institute of Technology) (submittedVersion)
- 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
- ventromedial prefrontal cortex, decision-making, dorsal striatum, supplementary motor area, parietal cortex, multi-stage decision making
- MeSH terms
- Animals, Behavior, Animal, Brain Mapping, Corpus Striatum, Decision Making, Frontal Lobe, Goals, Humans, Models, Psychological, Motor Cortex, Neurons, Parietal Lobe, Physiology, Comparative, Reward, Social Behavior, Social Values
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review