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Differential Encoding of Losses and Gains in the Human Striatum
Open accessAbstract
Studies on human monetary prediction and decision making emphasize the role of the striatum in encoding prediction errors for financial reward. However, less is known about how the brain encodes financial loss. Using Pavlovian conditioning of visual cues to outcomes that simultaneously incorporate the chance of financial reward and loss, we show that striatal activation reflects positively signed prediction errors for both. Furthermore, we show functional segregation within the striatum, with more anterior regions showing relative selectivity for rewards and more posterior regions for losses. These findings mirror the anteroposterior valence-specific gradient reported in rodents and endorse the role of the striatum in aversive motivational learning about financial losses, illustrating functional and anatomical consistencies with primary aversive outcomes such as pain.
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Citations
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-citationDopamine, learning and motivation.
Wise, R. A. (2004) · Nature Reviews Neuroscience · doi:10.1038/nrn1406 · Cited by 3,379 · cited 1×
“A substantial body of data points to the role of dopamine in striatal reward-related activity (Everitt et al., 1999; Montague et al., 2004; Wise, 2004), specifically relating to the representation of prediction errors that guide learning in Pavlovian and instrumental learning tasks (Montague et…”
BackgroundCan cognitive processes be inferred from neuroimaging data?
POLDRACK, R. (2006) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2005.12.004 · Cited by 2,249
Discrete coding of reward probability and uncertainty by dopamine neurons
Fiorillo, C. D., Tobler, P. N., & Schultz, W. (2003) · Science · doi:10.1126/science.1077349 · Cited by 2,085
The neural basis of loss aversion in decision-making under risk
Tom, S. M., Fox, C. R., Trepel, C., & Poldrack, R. A. (2007) · Science · doi:10.1126/science.1134239 · Cited by 1,733
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
Self-citationToward a modern theory of adaptive networks: Expectation and prediction.
Sutton, R. S., & Barto, A. G. (1981) · Psychological Review · doi:10.1037/0033-295x.88.2.135 · Cited by 1,450
Functional imaging of neural responses to expectancy and experience of monetary gains and losses
Breiter, H. C., Aharon, I., Kahneman, D., Dale, A., & Shizgal, P. (2001) · Neuron · doi:10.1016/s0896-6273(01)00303-8 · Cited by 1,404
Midbrain dopamine neurons encode a quantitative reward prediction error signal
Bayer, H. M., & Glimcher, P. W. (2005) · Neuron · doi:10.1016/j.neuron.2005.05.020 · Cited by 1,304
Neural Predictors of Purchases
Knutson, B., Rick, S., Wimmer, G. E., Prelec, D., & Loewenstein, G. (2007) · Neuron · doi:10.1016/j.neuron.2006.11.010 · Cited by 1,171
Research works printed but not linked: 27
- Barto AG (1995) in Models of information processing in the basal ganglia, Adaptive critic and the basal ganglia, eds Houk JC Davis JL Beiser DG (MIT, Cambridge), pp 215–232. · DOI · Paper page
- 10.1016/S0896-6273(01)00533-5 · DOI · Paper page
- 10.1016/j.ijpsycho.2003.12.006 · DOI
- Brown, 2000, Dual serotonin (5-HT) projections to the nucleus accumbens core and shell: relation of the 5-HT transporter to amphetamine-induced neurotoxicity, J Neurosci, 20, 1952, 10.1523/JNEUROSCI.20-05-01952.2000 · DOI
- 10.1006/nimg.1998.0351 · DOI · Paper page
- 10.1016/S0893-6080(02)00052-7 · DOI · Paper page
- Delgado, 2000, Tracking the hemodynamic responses to reward and punishment in the striatum, J Neurophysiol, 84, 3072, 10.1152/jn.2000.84.6.3072 · DOI · Paper page
- 10.1016/S0893-6080(02)00044-8 · DOI · Paper page
- Elliott, 2003, Differential response patterns in the striatum and orbitofrontal cortex to financial reward in humans: a parametric functional magnetic resonance imaging study, J Neurosci, 23, 303, 10.1523/JNEUROSCI.23-01-00303.2003 · DOI · Paper page
- Gray JA (1991) The psychology of fear and stress (Cambridge UP, Cambridge, UK), Ed 2..
- 10.1016/S0278-5846(98)00094-3 · DOI
- 10.1016/S0306-4522(00)00019-1 · DOI · Paper page
- 10.1016/S0165-0173(99)00023-5 · DOI · Paper page
- 10.1006/nimg.2000.0593 · DOI · Paper page
- 10.1287/mnsc.48.10.1334.276 · DOI · Paper page
- Montague, 1996, A framework for mesencephalic dopamine systems based on predictive Hebbian learning, J Neurosci, 16, 1936, 10.1523/JNEUROSCI.16-05-01936.1996 · DOI · Paper page
- 10.1016/j.neuroimage.2004.12.043 · DOI · Paper page
- 10.1038/nature05051 · DOI · Paper page
- 10.1046/j.1460-9568.2003.02642.x · DOI
- Schoenbaum, 2003, Lesions of nucleus accumbens disrupt learning about aversive outcomes, J Neurosci, 23, 9833, 10.1523/JNEUROSCI.23-30-09833.2003 · DOI
- 10.1016/S0896-6273(03)00264-2 · DOI
- Sutton RS Barto AG (1990) in Learning and computational neuroscience: foundations of adaptive networks, Time-derivative models of Pavlovian reinforcement, eds Gabriel M Moore J (MIT, Cambridge, MA), pp 497–537.
- 10.1016/j.neunet.2006.05.039 · DOI
- 10.1016/j.tins.2004.10.001 · DOI
- 10.1152/jn.01332.2004 · DOI
- 10.1523/JNEUROSCI.2915-06.2006 · DOI · Paper page
- Zink, 2003, Human striatal response to salient nonrewarding stimuli, J Neurosci, 23, 8092, 10.1523/JNEUROSCI.23-22-08092.2003 · DOI · Paper page
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Cacioppo, J. T., & Hawkley, L. C. (2009) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2009.06.005 · Cited by 2,144
Bartra, O., McGuire, J. T., & Kable, J. W. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.02.063 · Cited by 1,927
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Tracey, I., & Mantyh, P. W. (2007) · Neuron · doi:10.1016/j.neuron.2007.07.012 · Cited by 1,843
Prospection: experiencing the future
Gilbert, D. T., & Wilson, T. D. (2007) · Science · doi:10.1126/science.1144161 · Cited by 1,238
Kang, M. J., Hsu, M., Krajbich, I. M., Loewenstein, G., McClure, S. M., Wang, J. T.-Y., & Camerer, C. F. (2009) · Psychological Science · doi:10.1111/j.1467-9280.2009.02402.x · Cited by 882
The hidden island of addiction: the insula
Naqvi, N. H., & Bechara, A. (2009) · Trends in Neurosciences · doi:10.1016/j.tins.2008.09.009 · Cited by 833
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Schacter, D. L., Addis, D. R., & Buckner, R. L. (2008) · Annals of the New York Academy of Sciences · doi:10.1196/annals.1440.001 · Cited by 840
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Fehr, E., & Camerer, C. F. (2007) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2007.09.002 · Cited by 779
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Fineberg, N. A., Potenza, M. N., Chamberlain, S. R., Berlin, H. A., Menzies, L., Bechara, A., Sahakian, B. J., Robbins, T. W., Bullmore, E. T., & Hollander, E. (2010) · Neuropsychopharmacology · doi:10.1038/npp.2009.185 · Cited by 654
Doya, K. (2008) · Nature Neuroscience · doi:10.1038/nn2077 · Cited by 642
Toward a neurology of loneliness
Cacioppo, S., Capitanio, J. P., & Cacioppo, J. T. (2014) · Psychological Bulletin · doi:10.1037/a0037618 · Cited by 623
Evolutionary mechanisms for loneliness
Cacioppo, J. T., Cacioppo, S., & Boomsma, D. I. (2014) · Cognition and Emotion · doi:10.1080/02699931.2013.837379 · Cited by 576
Disclosing information about the self is intrinsically rewarding
Tamir, D. I., & Mitchell, J. P. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1202129109 · Cited by 563
How prediction errors shape perception, attention, and motivation
den Ouden, H. E. M., Kok, P., & de Lange, F. P. (2012) · Frontiers in Psychology · doi:10.3389/fpsyg.2012.00548 · Cited by 512
Risky business: the neuroeconomics of decision making under uncertainty
Platt, M. L., & Huettel, S. A. (2008) · Nature Neuroscience · doi:10.1038/nn2062 · Cited by 556
Cacioppo, J. T., Hawkley, L. C., Norman, G. J., & Berntson, G. G. (2011) · Annals of the New York Academy of Sciences · doi:10.1111/j.1749-6632.2011.06028.x · Cited by 554
Neural prediction errors reveal a risk-sensitive reinforcement-learning process in the human brain
Niv, Y., Edlund, J. A., Dayan, P., & O'Doherty, J. P. (2012) · The Journal of Neuroscience · doi:10.1523/jneurosci.5498-10.2012 · Cited by 356
Self-citationA meta-analysis of instructed fear studies: implications for conscious appraisal of threat
Mechias, M.-L., Etkin, A., & Kalisch, R. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2009.09.040 · Cited by 392
Ernst, M., & Fudge, J. L. (2009) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2008.10.009 · Cited by 358
Social and monetary reward learning engage overlapping neural substrates
Lin, A., Adolphs, R., & Rangel, A. (2012) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsr006 · Cited by 351
Plassmann, H., O'Doherty, J. P., & Rangel, A. (2010) · The Journal of Neuroscience · doi:10.1523/jneurosci.0788-10.2010 · Cited by 356
The role of the striatum in aversive learning and aversive prediction errors
Delgado, M. R., Li, J., Schiller, D., & Phelps, E. A. (2008) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2008.0161 · Cited by 328
Leotti, L. A., & Delgado, M. R. (2011) · Psychological Science · doi:10.1177/0956797611417005 · Cited by 318
Cacioppo, J. T., Norris, C. J., Decety, J., Monteleone, G., & Nusbaum, H. (2009) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.2009.21007 · Cited by 322
Overlapping neural systems mediating extinction, reversal and regulation of fear
Schiller, D., & Delgado, M. R. (2010) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2010.04.002 · Cited by 294
Stoy, M., Schlagenhauf, F., Sterzer, P., Bermpohl, F., Hägele, C., Suchotzki, K., Schmack, K., Wrase, J., Ricken, R., Knutson, B., et al. (2012) · Journal of Psychopharmacology · doi:10.1177/0269881111416686 · Cited by 279
Dissociating valuation and saliency signals during decision-making
Litt, A., Plassmann, H., Shiv, B., & Rangel, A. (2011) · Cerebral Cortex · doi:10.1093/cercor/bhq065 · Cited by 272
Action versus valence in decision making
Guitart-Masip, M., Duzel, E., Dolan, R., & Dayan, P. (2014) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2014.01.003 · Cited by 270
Self-citationClarke, H. F., Robbins, T. W., & Roberts, A. C. (2008) · The Journal of Neuroscience · doi:10.1523/jneurosci.1521-08.2008 · Cited by 263
Do patients with schizophrenia exhibit aberrant salience?
Roiser, J. P., Stephan, K. E., den Ouden, H. E. M., Barnes, T. R. E., Friston, K. J., & Joyce, E. M. (2009) · Psychological Medicine · doi:10.1017/s0033291708003863 · Cited by 262
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Morris, L. S., Kundu, P., Dowell, N., Mechelmans, D. J., Favre, P., Irvine, M. A., Robbins, T. W., Daw, N., Bullmore, E. T., Harrison, N. A., et al. (2016) · Cortex · doi:10.1016/j.cortex.2015.11.004 · Cited by 198
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Asaad, W. F., & Eskandar, E. N. (2011) · The Journal of Neuroscience · doi:10.1523/jneurosci.3793-11.2011 · Cited by 105
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Bechara, A., Berridge, K. C., Bickel, W. K., Morón, J. A., Williams, S. B., & Stein, J. S. (2019) · Psychological Science in the Public Interest · doi:10.1177/1529100619860513 · Cited by 82
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“5 s after cue onset where amplitude changes in pupil diameter have previously been reported [23] in the 10 subjects from which we obtained pupil amplitude measures (Figure 2e).”
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Klein-Flügge, M. C., Hunt, L. T., Bach, D. R., Dolan, R. J., & Behrens, T. E. J. (2011) · Neuron · doi:10.1016/j.neuron.2011.08.024 · Cited by 75
Self-citationHelfinstein, S. M., Benson, B., Perez-Edgar, K., Bar-Haim, Y., Detloff, A., Pine, D. S., Fox, N. A., & Ernst, M. (2011) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2010.12.015 · Cited by 75
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Fouragnan, E., Queirazza, F., Retzler, C., Mullinger, K. J., & Philiastides, M. G. (2017) · Scientific Reports · doi:10.1038/s41598-017-04507-w · Cited by 61
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Aberrant effective connectivity in schizophrenia patients during appetitive conditioning
Diaconescu, A. O., Jensen, J., Wang, H., Willeit, M., Menon, M., Kapur, S., & McIntosh, A. R. (2011) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2010.00239 · Cited by 43
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Furl, N., Gallagher, S., & Averbeck, B. B. (2012) · PLoS ONE · doi:10.1371/journal.pone.0033461 · Cited by 36
Available alternative incentives modulate anticipatory nucleus accumbens activation
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Reinen, J. M., Whitton, A. E., Pizzagalli, D. A., Slifstein, M., Abi-Dargham, A., McGrath, P. J., Iosifescu, D. V., & Schneier, F. R. (2021) · European Neuropsychopharmacology · doi:10.1016/j.euroneuro.2021.08.002 · Cited by 27
Variables influencing the neural correlates of perceived risk of physical harm
Coaster, M., Rogers, B. P., Jones, O. D., Viscusi, W. K., Merkle, K. L., Zald, D. H., & Gore, J. C. (2011) · Cognitive, Affective, & Behavioral Neuroscience · doi:10.3758/s13415-011-0047-9 · Cited by 24
“The caudate has been reported in the monetary risk assessment literature as differentially encoding gains and losses ( Seymour, Daw, Dayan, Singer, & Dolan, 2007 ), characterizing expected reward and reward variance reflecting risk (Preuschoff, Bossaerts, & Quartz, 2006), and being active during risk conditions as com…”
Background
Metadata
- Authors
- Seymour, B., Daw, N., Dayan, P., Singer, T., & Dolan, R.
- Venue
- The Journal of Neuroscience
- Publisher
- Society for Neuroscience
- Published
- 2007-05-02
- Volume
- 27
- Issue
- 18
- Pages
- 4826-4831
- ISSN
- 0270-6474 (ISSN-L)
- 1529-2401
- OpenAlex
- W2043214237
- Cited by
- 462
- References
- 24
- FWCI
- 15.47
- Type
- journal article
- Language
- en
- Open access
- hybrid
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