Abstract
Individuals make choices and prioritize goals using complex processes that assign value to rewards and associated stimuli. During Pavlovian learning, previously neutral stimuli that predict rewards can acquire motivational properties, becoming attractive and desirable incentive stimuli. However, whether a cue acts solely as a predictor of reward, or also serves as an incentive stimulus, differs between individuals. Thus, individuals vary in the degree to which cues bias choice and potentially promote maladaptive behaviour. Here we use rats that differ in the incentive motivational properties they attribute to food cues to probe the role of the neurotransmitter dopamine in stimulus–reward learning. We show that intact dopamine transmission is not required for all forms of learning in which reward cues become effective predictors. Rather, dopamine acts selectively in a form of stimulus–reward learning in which incentive salience is assigned to reward cues. In individuals with a propensity for this form of learning, reward cues come to powerfully motivate and control behaviour. This work provides insight into the neurobiology of a form of stimulus–reward learning that confers increased susceptibility to disorders of impulse control.
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References
Schultz, W. Behavioral theories and the neurophysiology of reward. Annu. Rev. Psychol. 57, 87–115 (2006)
Wise, R. A. Dopamine, learning and motivation. Nature Rev. Neurosci. 5, 483–494 (2004)
Day, J. J., Roitman, M. F., Wightman, R. M. & Carelli, R. M. Associative learning mediates dynamic shifts in dopamine signaling in the nucleus accumbens. Nature Neurosci. 10, 1020–1028 (2007)
Schultz, W., Dayan, P. & Montague, P. R. A neural substrate of prediction and reward. Science 275, 1593–1599 (1997)
Montague, P. R., Dayan, P. & Sejnowski, T. J. A framework for mesencephalic dopamine systems based on predictive Hebbian learning. J. Neurosci. 16, 1936–1947 (1996)
Waelti, P., Dickinson, A. & Schultz, W. Dopamine responses comply with basic assumptions of formal learning theory. Nature 412, 43–48 (2001)
Balleine, B. W., Daw, N. D. & O’Doherty, J. P. in Neuroeconomics: Decision Making and the Brain (eds Glimcher, P. W., Camerer, C. F., Fehr, E. & Poldrack, R. A.) 367–389 (Academic Press, 2008)
Berridge, K. C. The debate over dopamine’s role in reward: the case for incentive salience. Psychopharmacology 191, 391–431 (2007)
Berridge, K. C. & Robinson, T. E. What is the role of dopamine in reward: hedonic impact, reward learning, or incentive salience? Brain Res. Brain Res. Rev. 28, 309–369 (1998)
Berridge, K. C., Robinson, T. E. & Aldridge, J. W. Dissecting components of reward: 'liking', 'wanting', and learning. Curr. Opin. Pharmacol. 9, 65–73 (2009)
Panksepp, J. Affective consciousness: core emotional feelings in animals and humans. Conscious. Cogn. 14, 30–80 (2005)
Hearst, E. & Jenkins, H. Sign-Tracking: The Stimulus-Reinforcer Relation and Directed Action (Monograph of the Psychonomic Society, 1974)
Boakes, R. in Operant-Pavlovian Interactions (eds Davis, H. & Hurwitz, H. M. B.) 67–97 (Erlbaum, 1977)
Robinson, T. E. & Flagel, S. B. Dissociating the predictive and incentive motivational properties of reward-related cues through the study of individual differences. Biol. Psychiat. 65, 869–873 (2009)
Stead, J. D. et al. Selective breeding for divergence in novelty-seeking traits: heritability and enrichment in spontaneous anxiety-related behaviors. Behav. Genet. 36, 697–712 (2006)
Flagel, S. B. et al. An animal model of genetic vulnerability to behavioral disinhibition and responsiveness to reward-related cues: implications for addiction. Neuropsychopharmacology 35, 388–400 (2010)
Berridge, K. C. in Psychology of Learning and Motivation (ed. Medin, D. L.) 223–278 (Academic Press, 2001)
Cardinal, R. N., Parkinson, J. A., Hall, J. & Everitt, B. J. Emotion and motivation: the role of the amygdala, ventral striatum, and prefrontal cortex. Neurosci. Biobehav. Rev. 26, 321–352 (2002)
Kelley, A. E. Functional specificity of ventral striatal compartments in appetitive behaviors. Ann. NY Acad. Sci. 877, 71–90 (1999)
Dalley, J. W. et al. Time-limited modulation of appetitive Pavlovian memory by D1 and NMDA receptors in the nucleus accumbens. Proc. Natl Acad. Sci. USA 102, 6189–6194 (2005)
Di Ciano, P., Cardinal, R. N., Cowell, R. A., Little, S. J. & Everitt, B. J. Differential involvement of NMDA, AMPA/kainate, and dopamine receptors in the nucleus accumbens core in the acquisition and performance of pavlovian approach behavior. J. Neurosci. 21, 9471–9477 (2001)
Parkinson, J. A. et al. Nucleus accumbens dopamine depletion impairs both acquisition and performance of appetitive Pavlovian approach behaviour: implications for mesoaccumbens dopamine function. Behav. Brain Res. 137, 149–163 (2002)
Parkinson, J. A., Olmstead, M. C., Burns, L. H., Robbins, T. W. & Everitt, B. J. Dissociation in effects of lesions of the nucleus accumbens core and shell on appetitive pavlovian approach behavior and the potentiation of conditioned reinforcement and locomotor activity by D-amphetamine. J. Neurosci. 19, 2401–2411 (1999)
Clark, J. J. et al. Chronic microsensors for longitudinal, subsecond dopamine detection in behaving animals. Nature Methods 7, 126–129 (2010)
Robinson, T. E. & Berridge, K. C. The neural basis of drug craving: an incentive-sensitization theory of addiction. Brain Res. Brain Res. Rev. 18, 247–291 (1993)
Tindell, A. J., Smith, K. S., Berridge, K. C. & Aldridge, J. W. Dynamic computation of incentive salience: "wanting" what was never "liked". J. Neurosci. 29, 12220–12228 (2009)
Zhang, J., Berridge, K. C., Tindell, A. J., Smith, K. S. & Aldridge, J. W. A neural computational model of incentive salience. PLOS Comput. Biol. 5, e1000437 (2009)
Beckmann, J. S., Marusich, J. A., Gipson, C. D. & Bardo, M. T. Novelty seeking, incentive salience and acquisition of cocaine self-administration in the rat. Behav. Brain Res. 216, 159–165 (2011)
Wyvell, C. L. & Berridge, K. C. Intra-accumbens amphetamine increases the conditioned incentive salience of sucrose reward: enhancement of reward "wanting" without enhanced "liking" or response reinforcement. J. Neurosci. 20, 8122–8130 (2000)
Wyvell, C. L. & Berridge, K. C. Incentive sensitization by previous amphetamine exposure: increased cue-triggered "wanting" for sucrose reward. J. Neurosci. 21, 7831–7840 (2001)
Tomie, A., Aguado, A. S., Pohorecky, L. A. & Benjamin, D. Ethanol induces impulsive-like responding in a delay-of-reward operant choice procedure: impulsivity predicts autoshaping. Psychopharmacology 139, 376–382 (1998)
Kuo, W. J., Sjostrom, T., Chen, Y. P., Wang, Y. H. & Huang, C. Y. Intuition and deliberation: two systems for strategizing in the brain. Science 324, 519–522 (2009)
Clinton, S. M, et al. Individual differences in novelty-seeking and emotional reactivity correlate with variation in maternal behavior. Horm. Behav. 51, 655–664 (2007)
Verbeke, G. &. Molenberghs, G. Linear Mixed Models for Longitudinal Data (Springer, 2000)
Heien, M. L. Johnson, M. A. & Wightman, R. M. Resolving neurotransmitters detected by fast-scan cyclic voltammetry. Anal. Chem. 76, 5697–5704 (2004)
Acknowledgements
This work was supported by National Institutes of Health grants: R01-MH079292 (to P.E.M.P.), R01-DA027858 (to P.E.M.P.), T32-DA07278 (to J.J.C.), F32-DA24540 (to J.J.C.), R37-DA04294 ( to T.E.R.), and 5P01-DA021633-02 (to T.E.R. and H.A.). The selective breeding colony was supported by a grant from the Office of Naval Research to H.A. (N00014-02-1-0879). We thank K. Berridge and J. Morrow for comments on earlier versions of the manuscript, and S. Ng-Evans for technical support.
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S.B.F, J.J.C., T.E.R., P.E.M.P. and H.A. designed the experiments and wrote the manuscript. S.B.F., J.J.C., L.M., A.C., I.W. and C.A.A. conducted the experiments, S.M.C. oversaw the selective breeding colony, and S.B.F. and J.J.C. analysed the data.
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Supplementary Information
The file contains Supplementary Results, additional references, Supplementary Figures 1-6 with legends and legends for Supplementary Movies 1-2. (PDF 986 kb)
Supplementary Movie 1
The movie shows a single trial of CS-US pairing for a bHR rat during the 6thPavlovian conditioning session (see Supplementary Information file for full legend). This movie file was replaced on 11 January 2011. (MOV 3660 kb)
Supplementary Movie 2
The movie shows a single trial of CS-US pairing for a bLR rat during the 6thPavlovian conditioning session (see Supplementary Information file for full legend). This movie file was replaced on 11 January 2011. (MOV 3544 kb)
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Flagel, S., Clark, J., Robinson, T. et al. A selective role for dopamine in stimulus–reward learning. Nature 469, 53–57 (2011). https://doi.org/10.1038/nature09588
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DOI: https://doi.org/10.1038/nature09588
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