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.
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“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
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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
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Dolan, R. J., & Dayan, P. (2013) · Neuron · doi:10.1016/j.neuron.2013.09.007 · Cited by 977
Informatic parcellation of the network involved in the computation of subjective value
Clithero, J. A., & Rangel, A. (2014) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nst106 · Cited by 706
Neural computations underlying arbitration between model-based and model-free learning
Lee, S. W., Shimojo, S., & O’Doherty, J. P. (2014) · Neuron · doi:10.1016/j.neuron.2013.11.028 · Cited by 642
Neubert, F.-X., Mars, R. B., Sallet, J., & Rushworth, M. F. S. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1410767112 · Cited by 384
Model-based and model-free Pavlovian reward learning: Revaluation, revision, and revelation
Dayan, P., & Berridge, K. C. (2014) · Cognitive, Affective, & Behavioral Neuroscience · doi:10.3758/s13415-014-0277-8 · Cited by 357
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
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