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.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
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?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
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]
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
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
Experimental — accuracy not yet measuredIn the citing paper
“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
“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
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
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
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
Cited by
Sorted by citations
Uncertainty and anticipation in anxiety: an integrated neurobiological and psychological perspective
Grupe, D. W., & Nitschke, J. B. (2013) · Nature Reviews Neuroscience · doi:10.1038/nrn3524 · Cited by 2,007
Inhibition and impulsivity: behavioral and neural basis of response control
Bari, A., & Robbins, T. W. (2013) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2013.06.005 · Cited by 1,921
Ochsner, K. N., Silvers, J. A., & Buhle, J. T. (2012) · Annals of the New York Academy of Sciences · doi:10.1111/j.1749-6632.2012.06751.x · Cited by 1,879
The root of all value: a neural common currency for choice
Levy, D. J., & Glimcher, P. W. (2012) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2012.06.001 · Cited by 1,342
The Psychology and Neuroscience of Curiosity
Kidd, C., & Hayden, B. Y. (2015) · Neuron · doi:10.1016/j.neuron.2015.09.010 · Cited by 1,026
Ventromedial prefrontal–subcortical systems and the generation of affective meaning
Roy, M., Shohamy, D., & Wager, T. D. (2012) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2012.01.005 · Cited by 856
Parsons, T. D. (2015) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2015.00660 · Cited by 837
Neurocognitive bases of emotion regulation development in adolescence
Ahmed, S. P., Bittencourt-Hewitt, A., & Sebastian, C. L. (2015) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2015.07.006 · Cited by 621
Human orbitofrontal cortex represents a cognitive map of state space
Schuck, N. W., Cai, M. B., Wilson, R. C., & Niv, Y. (2016) · Neuron · doi:10.1016/j.neuron.2016.08.019 · Cited by 602
Explicit and implicit emotion regulation: a multi-level framework
Braunstein, L. M., Gross, J. J., & Ochsner, K. N. (2017) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsx096 · Cited by 539
“…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).”
BackgroundWhat the orbitofrontal cortex does not do
Stalnaker, T. A., Cooch, N. K., & Schoenbaum, G. (2015) · Nature Neuroscience · doi:10.1038/nn.3982 · Cited by 531
Self-citationOldham, S., Murawski, C., Fornito, A., Youssef, G. J., Yücel, M., & Lorenzetti, V. (2018) · Human Brain Mapping · doi:10.1002/hbm.24184 · Cited by 449
Rudebeck, P. H., & Murray, E. A. (2014) · Neuron · doi:10.1016/j.neuron.2014.10.049 · Cited by 405
A Dedicated Population for Reward Coding in the Hippocampus
Gauthier, J. L., & Tank, D. W. (2018) · Neuron · doi:10.1016/j.neuron.2018.06.008 · Cited by 394
Decoding subjective decisions from orbitofrontal cortex
Rich, E. L., & Wallis, J. D. (2016) · Nature Neuroscience · doi:10.1038/nn.4320 · Cited by 368
Empathic concern drives costly altruism
FeldmanHall, O., Dalgleish, T., Evans, D., & Mobbs, D. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.10.043 · Cited by 372
Orbitofrontal Cortex Supports Behavior and Learning Using Inferred But Not Cached Values
Jones, J. L., Esber, G. R., McDannald, M. A., Gruber, A. J., Hernández, A., Mirenzi, A., & Schoenbaum, G. M. (2012) · Science · doi:10.1126/science.1227489 · Cited by 343
Self-citationBlanchard, T. C., Hayden, B. Y., & Bromberg-Martin, E. S. (2015) · Neuron · doi:10.1016/j.neuron.2014.12.050 · Cited by 319
Miller, K. J., Shenhav, A., & Ludvig, E. A. (2019) · Psychological Review · doi:10.1037/rev0000120 · Cited by 280
The Neurobiology of Impulsive Aggression
Blair, R. J. R. (2016) · Journal of Child and Adolescent Psychopharmacology · doi:10.1089/cap.2015.0088 · Cited by 235
Chase, H. W., Kumar, P., Eickhoff, S. B., & Dombrovski, A. Y. (2015) · Cognitive Affective & Behavioral Neuroscience · doi:10.3758/s13415-015-0338-7 · Cited by 242
Neural correlates of mindfulness meditation-related anxiety relief
Zeidan, F., Martucci, K. T., Kraft, R. A., McHaffie, J. G., & Coghill, R. C. (2014) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nst041 · Cited by 196
Decision Making: The Neuroethological Turn
Pearson, J. M., Watson, K. K., & Platt, M. L. (2014) · Neuron · doi:10.1016/j.neuron.2014.04.037 · Cited by 197
Gilboa, A., & Moscovitch, M. (2021) · Neuron · doi:10.1016/j.neuron.2021.04.025 · Cited by 174
Reward-based training of recurrent neural networks for cognitive and value-based tasks
Song, H., Yang, G. R., & Wang, X. (2017) · eLife · doi:10.7554/elife.21492 · Cited by 175
Noonan, M. P., Chau, B. K. H., Rushworth, M. F. S., & Fellows, L. K. (2017) · The Journal of Neuroscience · doi:10.1523/jneurosci.0692-17.2017 · Cited by 167
Altered neural reward and loss processing and prediction error signalling in depression
Ubl, B., Kuehner, C., Kirsch, P., Ruttorf, M., Diener, C., & Flor, H. (2015) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsu158 · Cited by 165
Jelić, A., Tieri, G., Matteis, F. D., Babiloni, F., & Vecchiato, G. (2016) · Frontiers in Psychology · doi:10.3389/fpsyg.2016.00481 · Cited by 169
van Heeringen, K., Bijttebier, S., Desmyter, S., Vervaet, M., & Baeken, C. (2014) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2014.00824 · Cited by 141
Zhang, H., Chen, X., Shi, F., Li, G., Kim, M., Giannakopoulos, P., Haller, S., & Shen, D. G. (2016) · Journal of Alzheimer s Disease · doi:10.3233/jad-160092 · Cited by 142
Blair, J., Veroude, K., & Buitelaar, J. K. (2016) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2016.10.022 · Cited by 145
The whole prefrontal cortex is premotor cortex
Fine, J. M., & Hayden, B. Y. (2021) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2020.0524 · Cited by 151
Stevens, M. C. G. (2016) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2016.07.027 · Cited by 145
Hernández, S. E., Suero, J., Barros, A., González-Mora, J. L., & Rubia, K. (2016) · PLOS ONE · doi:10.1371/journal.pone.0150757 · Cited by 120
Pavlovian valuation systems in learning and decision making
Clark, J. J., Hollon, N. G., & Phillips, P. E. M. (2012) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2012.06.004 · Cited by 131
Social Signals in Primate Orbitofrontal Cortex
Watson, K. K., & Platt, M. L. (2012) · Current Biology · doi:10.1016/j.cub.2012.10.016 · Cited by 127
Neural and behavioral mechanisms of proactive and reactive inhibitionPreprint
Meyer, H. C., & Bucci, D. J. (2016) · Learning & Memory · doi:10.1101/lm.040501.115 · Cited by 126
Monosov, I. E., & Hikosaka, O. (2012) · Journal of Neuroscience · doi:10.1523/jneurosci.1801-12.2012 · Cited by 124
Paret, C., Ruf, M., Gerchen, M. F., Kluetsch, R., Demirakca, T., Jungkunz, M., Bertsch, K., Schmahl, C., & Ende, G. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2015.10.027 · Cited by 113
Revaluing the Role of vmPFC in the Acquisition of Pavlovian Threat Conditioning in Humans
Battaglia, S., Garofalo, S., di Pellegrino, G., & Starita, F. (2020) · Journal of Neuroscience · doi:10.1523/jneurosci.0304-20.2020 · Cited by 112
The role of the orbitofrontal cortex in alcohol use, abuse, and dependence
Moorman, D. E. (2018) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2018.01.010 · Cited by 114
PET imaging reveals brain functional changes in internet gaming disorder
Tian, M., Chen, Q., Zhang, Y., Du, F., Hou, H., Chao, F., & Zhang, H. (2014) · European Journal of Nuclear Medicine and Molecular Imaging · doi:10.1007/s00259-014-2708-8 · Cited by 108
Tusche, A., Smallwood, J., Bernhardt, B. C., & Singer, T. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.03.076 · Cited by 107
Farovik, A., Place, R., McKenzie, S., Porter, B. S., Munro, C. E., & Eichenbaum, H. (2015) · Journal of Neuroscience · doi:10.1523/jneurosci.0134-15.2015 · Cited by 105
The Road Not Taken: Neural Correlates of Decision Making in Orbitofrontal Cortex
Steiner, A. P., & Redish, A. D. (2012) · Frontiers in Neuroscience · doi:10.3389/fnins.2012.00131 · Cited by 104
Rhodes, S. E. V., & Murray, E. A. (2013) · Journal of Neuroscience · doi:10.1523/jneurosci.4374-12.2013 · Cited by 99
Sadacca, B. F., Wied, H. M., Lopatina, N., Saini, G. K., Nemirovsky, D., & Schoenbaum, G. M. (2018) · eLife · doi:10.7554/elife.30373 · Cited by 100
Self-citationAgustín‐Pavón, C., Braesicke, K., Shiba, Y., Santangelo, A. M., Mikheenko, Y., Cockroft, G., Asma, F., Clarke, H. F., Man, M., & Roberts, A. (2012) · Biological Psychiatry · doi:10.1016/j.biopsych.2012.03.007 · Cited by 90
The neural bases of uninstructed negative emotion modulation
Silvers, J. A., Wager, T. D., Weber, J., & Ochsner, K. N. (2014) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsu016 · Cited by 99
Zhang, T., Koutsouleris, N., Meisenzahl, E. M., & Davatzikos, C. A. (2014) · Schizophrenia Bulletin · doi:10.1093/schbul/sbu136 · Cited by 82
Defining the place of habit in substance use disorders
Vandaele, Y., & Janak, P. H. (2017) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2017.06.029 · Cited by 88
Neural correlates of dueling affective reactions to win–win choices
Shenhav, A., & Buckner, R. L. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1405725111 · Cited by 80
Gerraty, R. T., Davidow, J. Y., Wimmer, G. E., Kahn, I., & Shohamy, D. (2014) · Journal of Neuroscience · doi:10.1523/jneurosci.0185-14.2014 · Cited by 80
The Neuroscience of Emotion Regulation
Silvers, J. A., Buhle, J. T., & Ochsner, K. N. (2013) · Oxford University Press eBooks · doi:10.1093/oxfordhb/9780199988709.013.0004 · Cited by 78
Cortical plasticity in episodic and chronic cluster headache
Naegel, S., Holle, D., Desmarattes, N., Theysohn, N., Diener, H., Katsarava, Z., & Obermann, M. (2014) · NeuroImage Clinical · doi:10.1016/j.nicl.2014.10.003 · Cited by 78
Temporal dynamics of brain activation during 40 minutes of pleasant touch
Sailer, U., Triscoli, C., Häggblad, G., Hamilton, J. P., Olausson, H., & Croy, I. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.06.031 · Cited by 77
Corbit, L. H., Leung, B. K., & Balleine, B. W. (2013) · The Journal of Neuroscience · doi:10.1523/jneurosci.3271-13.2013 · Cited by 75
Beyond the Medial Regions of Prefrontal Cortex in the Regulation of Fear and Anxiety
Shiba, Y., Santangelo, A., & Roberts, A. (2016) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2016.00012 · Cited by 76
Henri‐Bhargava, A., Simioni, A. C., & Fellows, L. K. (2012) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2012.03.006 · Cited by 80
Imbalanced Activity in the Orbitofrontal Cortex and Nucleus Accumbens Impairs Behavioral Inhibition
Meyer, H. C., & Bucci, D. J. (2016) · Current Biology · doi:10.1016/j.cub.2016.08.034 · Cited by 74
Wang, Z., Fang, J., Liu, J. H., Rong, P., Jorgenson, K., Park, J., Lang, C., Yang, H., Zhu, B., & Kong, J. (2017) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2017.12.018 · Cited by 75
Recent insights into the neurobiology of impulsivity
Mitchell, M. R., & Potenza, M. N. (2014) · Current Addiction Reports · doi:10.1007/s40429-014-0037-4 · Cited by 70
Zhou, J., Gardner, M., Stalnaker, T. A., Ramus, S. J., Wikenheiser, A. M., Niv, Y., & Schoenbaum, G. M. (2019) · Current Biology · doi:10.1016/j.cub.2019.01.048 · Cited by 75
Self-citationValue representations in the rodent orbitofrontal cortex drive learning, not choice
Miller, K. J., Botvinick, M., & Brody, C. D. (2022) · eLife · doi:10.7554/elife.64575 · Cited by 72
Striatal Low-Threshold Spiking Interneurons Regulate Goal-Directed Learning
Holly, E. N., Davatolhagh, M. F., Choi, K., Alabi, O. O., Cifuentes, L. V., & Fuccillo, M. V. (2019) · Neuron · doi:10.1016/j.neuron.2019.04.016 · Cited by 66
Wang, W., Zhao, Y., Hu, X., Huang, X., Kuang, W., Lui, S., Kemp, G. J., & Gong, Q. (2017) · Scientific Reports · doi:10.1038/s41598-017-08944-5 · Cited by 65
Orbitofrontal neurons acquire responses to ‘valueless’ Pavlovian cues during unblocking
McDannald, M. A., Esber, G. R., Wegener, M. A., Wied, H. M., Liu, T., Stalnaker, T. A., Jones, J. L., Trageser, J. C., & Schoenbaum, G. M. (2014) · eLife · doi:10.7554/elife.02653 · Cited by 67
Self-citationMedial-lateral Organization of the Orbitofrontal Cortex
Rich, E. L., & Wallis, J. D. (2014) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_00573 · Cited by 65
Human ventromedial prefrontal lesions alter incentivisation by reward
Manohar, S. G., & Husain, M. (2016) · Cortex · doi:10.1016/j.cortex.2016.01.005 · Cited by 62
Human ventromedial prefrontal cortex is necessary for prosocial motivation
Lockwood, P. L., Cutler, J., Drew, D., Abdurahman, A., Jeyaretna, D. S., Apps, M. A. J., Husain, M., & Manohar, S. (2024) · Nature Human Behaviour · doi:10.1038/s41562-024-01899-4 · Cited by 65
Parallel inputs from the mediodorsal thalamus to the prefrontal cortex in the rat
Alcaraz, F., Marchand, A. R., Courtand, G., Coutureau, É., & Wolff, M. (2016) · European Journal of Neuroscience · doi:10.1111/ejn.13316 · Cited by 71
Lerman, I. R., Davis, B. A., Huang, M., Huang, C. W., Sorkin, L. S., Proudfoot, J. A., Zhong, E., Kimball, D. F., Rao, R., Simon, B. J., et al. (2019) · PLoS ONE · doi:10.1371/journal.pone.0201212 · Cited by 62
A State Representation for Reinforcement Learning and Decision-Making in the Orbitofrontal Cortex
Schuck, N. W., Wilson, R., & Niv, Y. (2018) · Elsevier eBooks · doi:10.1016/b978-0-12-812098-9.00012-7 · Cited by 66
Bissonette, G. B., & Roesch, M. R. (2015) · Current topics in behavioral neurosciences · doi:10.1007/7854_2015_382 · Cited by 68
Emotion-based learning systems and the development of morality
Blair, J. (2017) · Cognition · doi:10.1016/j.cognition.2017.03.013 · Cited by 66
Neural processing of reward in adolescent rodents
Simon, N. W., & Moghaddam, B. (2014) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2014.11.001 · Cited by 59
Relative Valuation of Pain in Human Orbitofrontal Cortex
Winston, J. S., Vlaev, I., Seymour, B., Chater, N., & Dolan, R. J. (2014) · Journal of Neuroscience · doi:10.1523/jneurosci.1706-14.2014 · Cited by 61
Météreau, É., & Dreher, J. (2014) · Cortex · doi:10.1016/j.cortex.2014.08.012 · Cited by 60
Affective value and associative processing share a cortical substrate
Shenhav, A., Barrett, L. F., & Bar, M. (2012) · Cognitive Affective & Behavioral Neuroscience · doi:10.3758/s13415-012-0128-4 · Cited by 58
Beauty and ugliness in the bodies and faces of others: An fMRI study of person esthetic judgement
Martín‐Loeches, M., Hernandez-Tamames, J. A., Martín, A., & Urrutia, M. (2014) · Neuroscience · doi:10.1016/j.neuroscience.2014.07.040 · Cited by 55
Mechanisms of Reward Circuit Dysfunction in Psychiatric Illness
Pujara, M. S., & Koenigs, M. R. (2013) · The Neuroscientist · doi:10.1177/1073858413499407 · Cited by 51
Rodríguez-Romaguera, J., Greenberg, B. D., Rasmussen, S. A., & Quirk, G. J. (2016) · Biological Psychiatry · doi:10.1016/j.biopsych.2016.02.012 · Cited by 51
Hart, E. E., Sharpe, M. J., Gardner, M., & Schoenbaum, G. M. (2020) · eLife · doi:10.7554/elife.59998 · Cited by 56
Self-citationNeural processing of food and emotional stimuli in adolescent and adult anorexia nervosa patients
Horndasch, S., Roesch, J., Forster, C., Dörfler, A., Lindsiepe, S., Heinrich, H., Graap, H., Moll, G. H., & Kratz, O. (2018) · PLoS ONE · doi:10.1371/journal.pone.0191059 · Cited by 50
Prefrontal Regulation of Neuronal Activity in the Ventral Tegmental Area
Jo, Y. S., & Mizumori, S. J. Y. (2015) · Cerebral Cortex · doi:10.1093/cercor/bhv215 · Cited by 51
Parsing the components of forgiveness: Psychological and neural mechanisms
Fourie, M. M., Hortensius, R., & Decety, J. (2020) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2020.02.020 · Cited by 53
Amodeo, L. R., McMurray, M. S., & Roitman, J. D. (2016) · Neuroscience · doi:10.1016/j.neuroscience.2016.03.034 · Cited by 48
Hippocampal networks habituate as novelty accumulatesPreprint
Murty, V. P., Ballard, I. C., MacDuffie, K. E., Krebs, R. M., & Adcock, R. A. (2013) · Learning & Memory · doi:10.1101/lm.029728.112 · Cited by 45
van Wingerden, M., van der Meij, R., Kalenscher, T., Maris, E., & Pennartz, C. M. A. (2014) · Journal of Neuroscience · doi:10.1523/jneurosci.2098-13.2014 · Cited by 46
Corticostriatal Circuits Encode the Subjective Value of Perceived Control
Wang, K. S., & Delgado, M. R. (2019) · Cerebral Cortex · doi:10.1093/cercor/bhz045 · Cited by 42
Mixtures of strategies underlie rodent behavior during reversal learning
Le, N. M., Yıldırım, M., Wang, Y., 杉原, 弘., Jazayeri, M., & Sur, M. (2023) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1011430 · Cited by 45
Li, K., Jiang, Y., Gong, Y., Zhao, W., Zhao, Z., Liu, X., Kendrick, K. M., Zhu, C., & Becker, B. (2019) · Neurophotonics · doi:10.1117/1.nph.6.2.025011 · Cited by 41
Executive Function Impairments in Patients with Depression
Alves, M. R. P., Yamamoto, T., Arias-Carrión, Ó., Rocha, N., Nardi, A. E., Machado, S. E. D. C., & Cardoso, A. (2014) · CNS & Neurological Disorders - Drug Targets · doi:10.2174/1871527313666140612102321 · Cited by 41
Stolyarova, A., & Izquierdo, A. (2017) · eLife · doi:10.7554/elife.27483 · Cited by 39
Lopez‐Persem, A., Roumazeilles, L., Folloni, D., Marche, K., Fouragnan, E. F., Khalighinejad, N., Rushworth, M. F. S., & Sallet, J. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2000759117 · Cited by 38
Cole, S., Hobin, M., & Petrovich, G. D. (2014) · Neuroscience · doi:10.1016/j.neuroscience.2014.11.026 · Cited by 41
Learned Value Shapes Responses to Objects in Frontal and Ventral Stream Networks in Macaque Monkeys
Kaskan, P. M., Costa, V. D., Eaton, H. P., Zemskova, J. A., Mitz, A. R., Leopold, D. A., Ungerleider, L. G., & Murray, E. A. (2016) · Cerebral Cortex · doi:10.1093/cercor/bhw113 · Cited by 38
Pais-Vieira, M., Aguiar, P., Lima, D., & Galhardo, V. (2012) · Pain · doi:10.1016/j.pain.2012.04.011 · Cited by 35
The effect of severe traumatic brain injury on social cognition, emotion regulation, and mood
McDonald, S., & Genova, H. M. (2021) · Handbook of clinical neurology · doi:10.1016/b978-0-12-822290-4.00011-6 · Cited by 36
Senden, M., Reuter, N., van den Heuvel, M. P., Goebel, R., Deco, G., & Gilson, M. (2017) · Human Brain Mapping · doi:10.1002/hbm.23913 · Cited by 32
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
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
