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Getting Formal with Dopamine and Reward
Open accessAbstract
Recent neurophysiological studies reveal that neurons in certain brain structures carry specific signals about past and future rewards. Dopamine neurons display a short-latency, phasic reward signal indicating the difference between actual and predicted rewards. The signal is useful for enhancing neuronal processing and learning behavioral reactions. It is distinctly different from dopamine's tonic enabling of numerous behavioral processes. Neurons in the striatum, frontal cortex, and amygdala also process reward information but provide more differentiated information for identifying and anticipating rewards and organizing goal-directed behavior. The different reward signals have complementary functions, and the optimal use of rewards in voluntary behavior would benefit from interactions between the signals. Addictive psychostimulant drugs may exert their action by amplifying the dopamine reward signal.
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Cites
A neural substrate of prediction and reward
Schultz, W., Dayan, P., & Montague, P. R. (1997) · Science · doi:10.1126/science.275.5306.1593 · Cited by 9,388
Self-citationThe neural basis of drug craving: An incentive-sensitization theory of addiction
Robinson, T. (1993) · Brain Research Reviews · doi:10.1016/0165-0173(93)90013-p · Cited by 7,346
Rescorla, R. A. (1972) · Medical Entomology and Zoology · Cited by 7,268
Cognitive, social, and physiological determinants of emotional state.
Schachter, S., & Singer, J. (1962) · Psychological Review · doi:10.1037/h0046234 · Cited by 6,223
Predictive reward signal of dopamine neurons
Schultz, W. (1998) · Journal of Neurophysiology · doi:10.1152/jn.1998.80.1.1 · Cited by 4,564
Self-citation(1996) · Cited by 3,692
Neuronlike adaptive elements that can solve difficult learning control problems
Barto, A. G., Sutton, R. S., & Anderson, C. W. (1983) · IEEE Transactions on Systems Man and Cybernetics · doi:10.1109/tsmc.1983.6313077 · Cited by 3,325
Marr, D. (1969) · The Journal of Physiology · doi:10.1113/jphysiol.1969.sp008820 · Cited by 3,253
The Cerebellum as a Neuronal Machine
Eccles, J. C., Ito, M., & Szentágothai, J. (1967) · Springer eBooks · doi:10.1007/978-3-662-13147-3 · Cited by 3,229
Pearce, J. M., & Hall, G. (1980) · Psychological Review · doi:10.1037/0033-295x.87.6.532 · Cited by 3,023
Research works printed but not linked: 1
- Andén, 1966, A quantitative study on the nigro-neostriatal dopamine neurons. Acta physiol, Scand., 67, 306
Cited by
Sorted by citations
Items 201–258 of 258
Koch, K., Schachtzabel, C., Wagner, G., Schikora, J., Schultz, C., Reichenbach, J. R., Sauer, H., & Schlösser, R. G. M. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2009.12.031 · Cited by 101
Cocaine-Conditioned Place Preference by Dopamine-Deficient Mice Is Mediated by Serotonin
Hnasko, T. S., Sotak, B. N., & Palmiter, R. D. (2007) · The Journal of Neuroscience · doi:10.1523/jneurosci.3133-07.2007 · Cited by 99
Gilman, J. M., Ramchandani, V. A., Crouss, T., & Hommer, D. W. (2012) · Neuropsychopharmacology · doi:10.1038/npp.2011.206 · Cited by 97
Altered striatal response to reward in bulimia nervosa after recovery
Wagner, A., Aizenstein, H., Venkatraman, V. K., Bischoff‐Grethe, A., Fudge, J., May, J. C., Frank, G. K., Bailer, U. F., Fischer, L., Putnam, K., et al. (2010) · International Journal of Eating Disorders · doi:10.1002/eat.20699 · Cited by 93
Striatal sensitivity during reward processing in attention-deficit/hyperactivity disorder
Paloyelis, Y., Mehta, M. A., Faraone, S. V., Asherson, P., & Kuntsi, J. (2012) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1016/j.jaac.2012.05.006 · Cited by 94
Reward guides attention to object categories in real-world scenes.
Hickey, C., Kaiser, D., & Peelen, M. V. (2015) · Journal of Experimental Psychology: General · doi:10.1037/a0038627 · Cited by 91
Abnormal striatal BOLD responses to reward anticipation and reward delivery in ADHD
Furukawa, E., Bado, P., Tripp, G., Mattos, P., Wickens, J. R., Bramati, I. E., Alsop, B., Ferreira, F. M., Lima, D., Tovar-Moll, F., et al. (2014) · PLoS ONE · doi:10.1371/journal.pone.0089129 · Cited by 90
Influences of dopaminergic system dysfunction on late-life depression
Taylor, W. D., Zald, D. H., Felger, J. C., Christman, S., Claassen, D. O., Horga, G., Miller, J. M., Gifford, K., Rogers, B., Szymkowicz, S. M., et al. (2022) · Molecular Psychiatry · doi:10.1038/s41380-021-01265-0 · Cited by 89
Caligiore, D., Pezzulo, G., Miall, R. C., & Baldassarre, G. (2013) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2013.07.016 · Cited by 87
Developmental imaging genetics: Linking dopamine function to adolescent behavior
Padmanabhan, A., & Luna, B. (2014) · Brain and Cognition · doi:10.1016/j.bandc.2013.09.011 · Cited by 87
Fuxe, K., Borroto-Escuela, D. O., Romero-Fernandez, W., Ciruela, F., Manger, P., Leo, G., Díaz-Cabiale, Z., & Agnati, L. F. (2012) · Brain Research · doi:10.1016/j.brainres.2012.01.062 · Cited by 81
Toward a taxonomy of attention shifting: Individual differences in fMRI during multiple shift types
WAGER, T. D., JONIDES, J., SMITH, E. E., & NICHOLS, T. E. (2005) · Cognitive, Affective, & Behavioral Neuroscience · doi:10.3758/cabn.5.2.127 · Cited by 86
Dougalis, A. G., Matthews, G. A. C., Bishop, M. W., Brischoux, F., Kobayashi, K., & Ungless, M. A. (2012) · European Journal of Neuroscience · doi:10.1111/j.1460-9568.2012.08255.x · Cited by 81
Davis, L. M., Michaelides, M., Cheskin, L. J., Moran, T. H., Aja, S., Watkins, P. A., Pei, Z., Contoreggi, C., McCullough, K., Hope, B., et al. (2009) · Neuroendocrinology · doi:10.1159/000170586 · Cited by 82
Sleep and dreaming are for important matters
Perogamvros, L., Dang-Vu, T. T., Desseilles, M., & Schwartz, S. (2013) · Frontiers in Psychology · doi:10.3389/fpsyg.2013.00474 · Cited by 77
Dynamics of Memory Representations in Networks with Novelty-Facilitated Synaptic Plasticity
Blumenfeld, B., Preminger, S., Sagi, D., & Tsodyks, M. (2006) · Neuron · doi:10.1016/j.neuron.2006.08.016 · Cited by 79
Hahn, T., Heinzel, S., Dresler, T., Plichta, M. M., Renner, T. J., Markulin, F., Jakob, P. M., Lesch, K., & Fallgatter, A. J. (2011) · Human Brain Mapping · doi:10.1002/hbm.21127 · Cited by 78
The Neural Mechanisms of Meditative Practices: Novel Approaches for Healthy Aging
Acevedo, B. P., Pospos, S., & Lavretsky, H. (2016) · Current Behavioral Neuroscience Reports · doi:10.1007/s40473-016-0098-x · Cited by 78
Influence of motivation on control hierarchy in the human frontal cortex
Bahlmann, J., Aarts, E., & D'Esposito, M. (2015) · The Journal of Neuroscience · doi:10.1523/jneurosci.2389-14.2015 · Cited by 77
Rossato, J. I., Radiske, A., Kohler, C. A., Gonzalez, C., Bevilaqua, L. R., Medina, J. H., & Cammarota, M. (2013) · Neurobiology of Learning and Memory · doi:10.1016/j.nlm.2013.07.012 · Cited by 75
Brunzell, D. H., Chang, J. R., Schneider, B., Olausson, P., Taylor, J. R., & Picciotto, M. R. (2006) · Psychopharmacology · doi:10.1007/s00213-005-0099-z · Cited by 71
Investigating the mechanism(s) underlying switching between states in bipolar disorder
Young, J. W., & Dulcis, D. (2015) · European Journal of Pharmacology · doi:10.1016/j.ejphar.2015.03.019 · Cited by 68
Cholinergic modulation of dopamine pathways through nicotinic acetylcholine receptors
de Kloet, S. F., Mansvelder, H. D., & De Vries, T. J. (2015) · Biochemical Pharmacology · doi:10.1016/j.bcp.2015.07.014 · Cited by 69
Vulnerability of mesostriatal dopaminergic neurons in Parkinson’s disease
González-Hernández, T. (2010) · Frontiers in Neuroanatomy · doi:10.3389/fnana.2010.00140 · Cited by 65
Wotruba, D., Heekeren, K., Michels, L., Buechler, R., Simon, J. J., Theodoridou, A., Kollias, S., Rössler, W., & Kaiser, S. (2014) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2014.00382 · Cited by 61
Behavioral specifications of reward-associated long-term memory enhancement in humans
Wittmann, B. C., Dolan, R. J., & Düzel, E. (2011) · Learning & Memory · doi:10.1101/lm.1996811 · Cited by 62
Off-line concomitant release of dopamine and glutamate involvement in taste memory consolidation
Guzmán‐Ramos, K., Osorio‐Gómez, D., Moreno‐Castilla, P., & Bermúdez‐Rattoni, F. (2010) · Journal of Neurochemistry · doi:10.1111/j.1471-4159.2010.06758.x · Cited by 63
Yarkoni, T., Gray, J. R., Chrastil, E. R., Barch, D. M., Green, L., & Braver, T. S. (2005) · Cognitive Brain Research · doi:10.1016/j.cogbrainres.2005.01.013 · Cited by 59
Stimulus-response and response-outcome learning mechanisms in the striatum
Horvitz, J. C. (2009) · Behavioural Brain Research · doi:10.1016/j.bbr.2008.12.014 · Cited by 58
Parr, A. C., Calabro, F., Larsen, B., Tervo-Clemmens, B., Elliot, S., Foran, W., Olafsson, V., & Luna, B. (2021) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2021.101997 · Cited by 60
Malik, S., Jacobs, M., Cho, S.-S., Boileau, I., Blumberger, D., Heilig, M., Wilson, A., Daskalakis, Z. J., Strafella, A. P., Zangen, A., et al. (2018) · Brain Imaging and Behavior · doi:10.1007/s11682-017-9800-1 · Cited by 58
Meyer, E. L., Yoshikami, D., & McIntosh, J. M. (2008) · Journal of Neurochemistry · doi:10.1111/j.1471-4159.2008.05266.x · Cited by 58
Variation in the human cannabinoid receptor CNR1 gene modulates gaze duration for happy faces
Chakrabarti, B., & Baron-Cohen, S. (2011) · Molecular Autism · doi:10.1186/2040-2392-2-10 · Cited by 57
Efferent connections of the rostral linear nucleus of the ventral tegmental area in the rat
Del-Fava, F., Hasue, R. H., Ferreira, J. G. P., & Shammah-Lagnado, S. J. (2007) · Neuroscience · doi:10.1016/j.neuroscience.2006.12.039 · Cited by 56
Reward-based spatial learning in unmedicated adults with obsessive-compulsive disorder
Marsh, R., Tau, G. Z., Wang, Z., Huo, Y., Liu, G., Hao, X., Packard, M. G., Peterson, B. S., & Simpson, H. B. (2015) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2014.13121700 · Cited by 53
Clarke, H. F., Cardinal, R. N., Rygula, R., Hong, Y. T., Fryer, T. D., Sawiak, S. J., Ferrari, V., Cockcroft, G., Aigbirhio, F. I., Robbins, T. W., et al. (2014) · The Journal of Neuroscience · doi:10.1523/jneurosci.0718-14.2014 · Cited by 54
Persistent effects of obesity: A neuroplasticity hypothesis
Matikainen‐Ankney, B. A., & Kravitz, A. V. (2018) · Annals of the New York Academy of Sciences · doi:10.1111/nyas.13665 · Cited by 56
Wang, H., Kim, S. S., & Zhuo, M. (2010) · Journal of Biological Chemistry · doi:10.1074/jbc.m110.116293 · Cited by 52
Eckstrand, K. L., Forbes, E. E., Bertocci, M. A., Chase, H. W., Greenberg, T., Lockovich, J., Stiffler, R., Aslam, H. A., Graur, S., Bebko, G., et al. (2019) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2019.0864 · Cited by 51
Wolf, M. E. (2003) · Molecular Interventions · doi:10.1124/mi.3.5.248 · Cited by 51
Leffa, D. T., de Souza, A., Scarabelot, V. L., Medeiros, L. F., de Oliveira, C., Grevet, E. H., Caumo, W., de Souza, D. O., Rohde, L. A. P., & Torres, I. L. S. (2016) · European Neuropsychopharmacology · doi:10.1016/j.euroneuro.2015.11.012 · Cited by 50
Deficits in context-dependent adaptive coding of reward in schizophrenia
Kirschner, M., Hager, O. M., Bischof, M., Hartmann-Riemer, M. N., Kluge, A., Seifritz, E., Tobler, P. N., & Kaiser, S. (2016) · npj Schizophrenia · doi:10.1038/npjschz.2016.20 · Cited by 43
Jezierski, G., Zehle, S., Bock, J., Braun, K., & Gruss, M. (2007) · Journal of Neurochemistry · doi:10.1111/j.1471-4159.2007.04927.x · Cited by 41
Powers, K. E., Somerville, L. H., Kelley, W. M., & Heatherton, T. F. (2013) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_00446 · Cited by 39
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Nicotinic alteration of decision-making
Naudé, J., Dongelmans, M., & Faure, P. (2015) · Neuropharmacology · doi:10.1016/j.neuropharm.2014.11.021 · Cited by 39
Modeling operant behavior in the Parkinsonian rat
Avila, I., Reilly, M. P., Sanabria, F., Posadas-Sánchez, D., Chavez, C. L., Banerjee, N., Killeen, P., & Castañeda, E. (2009) · Behavioural Brain Research · doi:10.1016/j.bbr.2008.11.033 · Cited by 35
Reinforcement learning of linking and tracing contours in recurrent neural networks
Brosch, T., Neumann, H., & Roelfsema, P. R. (2015) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1004489 · Cited by 33
Véronneau-Veilleux, F., Robaey, P., Ursino, M., & Nekka, F. (2022) · Frontiers in Computational Neuroscience · doi:10.3389/fncom.2022.849323 · Cited by 32
Frontolimbic responses to emotional face memory: The neural correlates of first impressions
Satterthwaite, T. D., Wolf, D. H., Gur, R. C., Ruparel, K., Valdez, J. N., Gur, R. E., & Loughead, J. (2009) · Human Brain Mapping · doi:10.1002/hbm.20803 · Cited by 29
Acheson, D. T., Twamley, E. W., & Young, J. W. (2013) · Frontiers in Neuroscience · doi:10.3389/fnins.2013.00103 · Cited by 26
What does the habenula tell dopamine neurons?
Kimura, M., Satoh, T., & Matsumoto, N. (2007) · Nature Neuroscience · doi:10.1038/nn0607-677 · Cited by 24
Update on pathological gambling
Grant, J. E., Williams, K. A., & Kim, S. W. (2006) · Current Psychiatry Reports · doi:10.1007/s11920-006-0081-4 · Cited by 22
Bolstad, I., Andreassen, O. A., Reckless, G. E., Sigvartsen, N. P., Server, A., & Jensen, J. (2013) · PLoS ONE · doi:10.1371/journal.pone.0068494 · Cited by 22
Gendron, M., Mesquita, B., & Barrett, L. F. (2020) · Culture, Mind, and Brain · doi:10.1017/9781108695374.010 · Cited by 20
Implicit and explicit reward learning in chronic nicotine use
Paelecke-Habermann, Y., Paelecke, M., Giegerich, K., Reschke, K., & Kübler, A. (2013) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2012.09.004 · Cited by 13
Postweaning isolation affects responses to incentive contrast in adulthood
Cuenya, L., Mustaca, A., & Kamenetzky, G. (2015) · Developmental Psychobiology · doi:10.1002/dev.21273 · Cited by 9
Replay to remember: a boost from dopamine
Ewell, L. A., & Leutgeb, S. (2014) · Nature Neuroscience · doi:10.1038/nn.3875 · Cited by 9
Separation from a bonded partner alters neural response to inflammatory pain in monogamous rodents
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Metadata
- Authors
- Schultz, W.
- Affiliations
- University of Fribourg (CH)
- Corresponding author
- Schultz, Wolfram
- ORCID
- Schultz, Wolfram
- Venue
- Neuron
- Publisher
- Elsevier BV
- Published
- 2002-10
- Volume
- 36
- Issue
- 2
- Pages
- 241-263
- ISSN
- 0896-6273 (ISSN-L)
- OpenAlex
- W1998152406
- Cited by
- 2,574
- References
- 208
- Citations by year
- 2026: 22 · 2025: 56 · 2024: 101 · 2023: 46 · 2022: 54 · 2021: 76 · 2020: 94 · 2019: 87 · 2018: 91 · 2017: 88 · 2016: 117 · 2015: 113 · 2014: 146 · 2013: 130 · 2012: 138
- FWCI
- 8.71
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Neuron (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Wellcome Trust (095495)
- Topics
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neurotransmitter Receptor Influence on Behavior
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Keywords
- dopamine, reward signals, prediction error, striatum, frontal cortex, amygdala, goal-directed behavior, stimulant use disorder
- MeSH terms
- Animals, Brain, Dopamine, Humans, Neurons, Reward, Illicit Drugs
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