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The anticipation and outcome phases of reward and loss processing: A neuroimaging meta‐analysis of the monetary incentive delay task
Open accessAbstract
The processing of rewards and losses are crucial to everyday functioning. Considerable interest has been attached to investigating the anticipation and outcome phases of reward and loss processing, but results to date have been inconsistent. It is unclear if anticipation and outcome of a reward or loss recruit similar or distinct brain regions. In particular, while the striatum has widely been found to be active when anticipating a reward, whether it activates in response to the anticipation of losses as well remains ambiguous. Furthermore, concerning the orbitofrontal/ventromedial prefrontal regions, activation is often observed during reward receipt. However, it is unclear if this area is active during reward anticipation as well. We ran an Activation Likelihood Estimation meta‐analysis of 50 fMRI studies, which used the Monetary Incentive Delay Task (MIDT), to identify which brain regions are implicated in the anticipation of rewards, anticipation of losses, and the receipt of reward. Anticipating rewards and losses recruits overlapping areas including the striatum, insula, amygdala and thalamus, suggesting that a generalised neural system initiates motivational processes independent of valence. The orbitofrontal/ventromedial prefrontal regions were recruited only during the reward outcome, likely representing the value of the reward received. Our findings help to clarify the neural substrates of the different phases of reward and loss processing, and advance neurobiological models of these processes.
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Citations
Cites
The reward circuit: linking primate anatomy and human imaging
Haber, S. N., & Knutson, B. (2010) · Neuropsychopharmacology · doi:10.1038/npp.2009.129 · Cited by 3,718
Self-referential processing in our brain—A meta-analysis of imaging studies on the self
Northoff, G., Heinzel, A., de Greck, M., Bermpohl, F., Dobrowolny, H., & Panksepp, J. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2005.12.002 · Cited by 2,792
Remembering the past to imagine the future: the prospective brain
Schacter, D. L., Addis, D. R., & Buckner, R. L. (2007) · Nature Reviews Neuroscience · doi:10.1038/nrn2213 · Cited by 2,394
From motivation to action: Functional interface between the limbic system and the motor system
MOGENSON, G., JONES, D., & YIM, C. (1980) · Progress in Neurobiology · doi:10.1016/0301-0082(80)90018-0 · Cited by 2,331
Dissociable Roles of Ventral and Dorsal Striatum in Instrumental Conditioning
O'Doherty, J., Dayan, P., Schultz, J., Deichmann, R., Friston, K., & Dolan, R. J. (2004) · Science · doi:10.1126/science.1094285 · Cited by 2,088
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
KRINGELBACH, M. (2004) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2004.03.006 · Cited by 1,977
Bartra, O., McGuire, J. T., & Kable, J. W. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.02.063 · Cited by 1,927
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
Neuronal Coding of Prediction Errors
Schultz, W., & Dickinson, A. (2000) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.23.1.473 · Cited by 1,427
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
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
Tonic dopamine: Opportunity costs and the control of response vigor
Niv, Y., Daw, N. D., Joel, D., & Dayan, P. (2007) · Psychopharmacology · doi:10.1007/s00213-006-0502-4 · Cited by 1,133
Dissociated neural representations of intensity and valence in human olfaction
Anderson, A. K., Christoff, K., Stappen, I., Panitz, D., Ghahremani, D. G., Glover, G., Gabrieli, J. D. E., & Sobel, N. (2003) · Nature Neuroscience · doi:10.1038/nn1001 · Cited by 1,054
Reward-motivated learning: mesolimbic activation precedes memory formation
Adcock, R. A., Thangavel, A., Whitfield-Gabrieli, S., Knutson, B., & Gabrieli, J. D. E. (2006) · Neuron · doi:10.1016/j.neuron.2006.03.036 · Cited by 977
Liu, X., Hairston, J., Schrier, M., & Fan, J. (2011) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2010.12.012 · Cited by 916
Eickhoff, S. B., Nichols, T. E., Laird, A. R., Hoffstaedter, F., Amunts, K., Fox, P. T., Bzdok, D., & Eickhoff, C. R. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.04.072 · Cited by 683 · cited 6×
“A false-discovery rate (FDR) threshold, which has often been used in previous meta-analyses, was not used as this method is highly susceptible to false-positives (Chumbley & Friston, 2009; Eickhoff et al., 2012, 2016).”
BackgroundMethodResultInfluentialIncentive-elicited brain activation in adolescents: Similarities and differences from young adults
Bjork, J. M., Knutson, B., Fong, G. W., Caggiano, D. M., Bennett, S. M., & Hommer, D. W. (2004) · The Journal of Neuroscience · doi:10.1523/jneurosci.4862-03.2004 · Cited by 567
Neural Responses to Monetary Incentives in Major Depression
Knutson, B., Bhanji, J. P., Cooney, R. E., Atlas, L. Y., & Gotlib, I. H. (2008) · Biological Psychiatry · doi:10.1016/j.biopsych.2007.07.023 · Cited by 496
Eickhoff, S. B., Bzdok, D., Laird, A. R., Roski, C., Caspers, S., Zilles, K., & Fox, P. T. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.05.021 · Cited by 484 · cited 2×
“For these contrasts, a subtraction analysis was run to identify distinct areas of activation (Eickhoff et al., 2011), by repeating the following process 5,000 times: (i) all the results that contributed to either of the two contrasts being examined, were pooled and randomly split into two groups that were the same siz…”
MethodThe neural substrates of reward processing in humans: the modern role of FMRI
McClure, S. M., York, M. K., & Montague, P. R. (2004) · The Neuroscientist · doi:10.1177/1073858404263526 · Cited by 480 · cited 1×
“Such a signal would be critical for reward processing and learning, increasing the likelihood a behaviour that leads to a better than expected outcome will be repeated (McClure et al., 2004; Schultz &Dickinson, 2007; Yacubian et al., 2006), like in the MIDT.”
BackgroundOpponency revisited: competition and cooperation between dopamine and serotonin
Boureau, Y.-L., & Dayan, P. (2011) · Neuropsychopharmacology · doi:10.1038/npp.2010.151 · Cited by 456
Direct Activation of the Ventral Striatum in Anticipation of Aversive Stimuli
Jensen, J., McIntosh, A. R., Crawley, A. P., Mikulis, D. J., Remington, G., & Kapur, S. (2003) · Neuron · doi:10.1016/s0896-6273(03)00724-4 · Cited by 455
Neural representations of subjective reward value
Peters, J., & Büchel, C. (2010) · Behavioural Brain Research · doi:10.1016/j.bbr.2010.04.031 · Cited by 405
Luijten, M., Schellekens, A. F., Kühn, S., Machielse, M. W. J., & Sescousse, G. (2017) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2016.3084 · Cited by 402
Schönberg, T., Daw, N. D., Joel, D., & O'Doherty, J. P. (2007) · The Journal of Neuroscience · doi:10.1523/jneurosci.2496-07.2007 · Cited by 390
The ubiquity of model-based reinforcement learning
Doll, B. B., Simon, D. A., & Daw, N. D. (2012) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2012.08.003 · Cited by 380
Dissociation of neural networks for anticipation and consumption of monetary and social rewards
Rademacher, L., Krach, S., Kohls, G., Irmak, A., Gründer, G., & Spreckelmeyer, K. N. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2009.10.089 · Cited by 347
Reward anticipation and outcomes in adult males with attention-deficit/hyperactivity disorder
Ströhle, A., Stoy, M., Wrase, J., Schwarzer, S., Schlagenhauf, F., Huss, M., Hein, J., Nedderhut, A., Neumann, B., Gregor, A., et al. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2007.09.044 · Cited by 323
Neural mechanisms underlying motivation of mental versus physical effort
Schmidt, L., Lebreton, M., Cléry-Melin, M.-L., Daunizeau, J., & Pessiglione, M. (2012) · PLoS Biology · doi:10.1371/journal.pbio.1001266 · Cited by 310
Activity in human reward-sensitive brain areas is strongly context dependent
Nieuwenhuis, S., Heslenfeld, D. J., Alting von Geusau, N. J., Mars, R. B., Holroyd, C. B., & Yeung, N. (2005) · NeuroImage · doi:10.1016/j.neuroimage.2004.12.043 · Cited by 289
Silverman, M. H., Jedd, K., & Luciana, M. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.07.083 · Cited by 277
Adolescents, adults and rewards: Comparing motivational neurocircuitry recruitment using fMRI
Bjork, J. M., Smith, A. R., Chen, G., & Hommer, D. W. (2010) · PLoS ONE · doi:10.1371/journal.pone.0011440 · Cited by 271
Anticipatory reward processing in addicted populations: a focus on the monetary incentive delay task
Balodis, I. M., & Potenza, M. N. (2015) · Biological Psychiatry · doi:10.1016/j.biopsych.2014.08.020 · Cited by 267
What about the “Self” is Processed in the Posterior Cingulate Cortex?
Brewer, J. A., Garrison, K. A., & Whitfield-Gabrieli, S. (2013) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2013.00647 · Cited by 263
Valence and salience contribute to nucleus accumbens activation
Cooper, J. C., & Knutson, B. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2007.08.009 · Cited by 256
Separate neural substrates for skill learning and performance in the ventral and dorsal striatum
Atallah, H. E., Lopez-Paniagua, D., Rudy, J. W., & O'Reilly, R. C. (2007) · Nature Neuroscience · doi:10.1038/nn1817 · Cited by 241
Does the orbitofrontal cortex signal value?
Schoenbaum, G., Takahashi, Y., Liu, T., & McDannald, M. A. (2011) · Annals of the New York Academy of Sciences · doi:10.1111/j.1749-6632.2011.06210.x · Cited by 232
Lower Ventral Striatal Activation During Reward Anticipation in Adolescent Smokers
Peters, J., Bromberg, U., Schneider, S., Brassen, S., Menz, M., Banaschewski, T., Conrod, P. J., Flor, H., Gallinat, J., Garavan, H., et al. (2011) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2010.10071024 · Cited by 218
Guitart-Masip, M., Fuentemilla, L., Bach, D. R., Huys, Q. J. M., Dayan, P., Dolan, R. J., & Duzel, E. (2011) · The Journal of Neuroscience · doi:10.1523/jneurosci.6376-10.2011 · Cited by 216
Striatal functional alteration in adolescents characterized by early childhood behavioral inhibition
Guyer, A. E., Nelson, E. E., Perez-Edgar, K., Hardin, M. G., Roberson-Nay, R., Monk, C. S., Bjork, J. M., Henderson, H. A., Pine, D. S., Fox, N. A., et al. (2006) · Journal of Neuroscience · doi:10.1523/jneurosci.0666-06.2006 · Cited by 211
Reward system activation in schizophrenic patients switched from typical neuroleptics to olanzapine
Schlagenhauf, F., Juckel, G., Koslowski, M., Kahnt, T., Knutson, B., Dembler, T., Kienast, T., Gallinat, J., Wrase, J., & Heinz, A. (2008) · Psychopharmacology · doi:10.1007/s00213-007-1016-4 · Cited by 204
Overlapping neural systems represent cognitive effort and reward anticipation
Vassena, E., Silvetti, M., Boehler, C. N., Achten, E., Fias, W., & Verguts, T. (2014) · PLoS ONE · doi:10.1371/journal.pone.0091008 · Cited by 200
Andrews, M. M., Meda, S. A., Thomas, A. D., Potenza, M. N., Krystal, J. H., Worhunsky, P., Stevens, M. C., O'Malley, S., Book, G. A., Reynolds, B., et al. (2011) · Biological Psychiatry · doi:10.1016/j.biopsych.2010.09.049 · Cited by 181
Kim, H., Shimojo, S., & O'Doherty, J. P. (2011) · Cerebral Cortex · doi:10.1093/cercor/bhq145 · Cited by 176
Cho, Y. T., Fromm, S., Guyer, A. E., Detloff, A., Pine, D. S., Fudge, J. L., & Ernst, M. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2012.10.013 · Cited by 173
Different neural systems adjust motor behavior in response to reward and punishment
Wrase, J., Kahnt, T., Schlagenhauf, F., Beck, A., Cohen, M. X., Knutson, B., & Heinz, A. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2007.04.001 · Cited by 172
Kohls, G., Perino, M. T., Taylor, J. M., Madva, E. N., Cayless, S. J., Troiani, V., Price, E., Faja, S., Herrington, J. D., & Schultz, R. T. (2013) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2013.07.020 · Cited by 170
Striatal sensitivity to reward deliveries and omissions in substance dependent patients
Bjork, J. M., Smith, A. R., & Hommer, D. W. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2008.06.035 · Cited by 154
Neural systems underlying aversive conditioning in humans with primary and secondary reinforcers
Delgado, M. R., Jou, R. L., & Phelps, E. A. (2011) · Frontiers in Neuroscience · doi:10.3389/fnins.2011.00071 · Cited by 141
Using fMRI to study reward processing in humans: past, present, and future
Wang, K. S., Smith, D. V., & Delgado, M. R. (2016) · Journal of Neurophysiology · doi:10.1152/jn.00333.2015 · Cited by 105
Stoy, M., Schlagenhauf, F., Schlochtermeier, L., Wrase, J., Knutson, B., Lehmkuhl, U., Huss, M., Heinz, A., & Ströhle, A. (2011) · Psychopharmacology · doi:10.1007/s00213-011-2166-y · Cited by 91
Dissociating motivation from reward in human striatal activity
Miller, E. M., Shankar, M. U., Knutson, B., & McClure, S. M. (2014) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_00535 · Cited by 89
Juckel, G., Friedel, E., Koslowski, M., Witthaus, H., Özgürdal, S., Gudlowski, Y., Knutson, B., Wrase, J., Brüne, M., Heinz, A., et al. (2012) · Neuropsychobiology · doi:10.1159/000337130 · Cited by 87
Bjork, J. M., Smith, A. R., Chen, G., & Hommer, D. W. (2012) · Human Brain Mapping · doi:10.1002/hbm.21351 · Cited by 70
Jung, W. H., Kang, D.-H., Han, J. Y., Jang, J. H., Gu, B.-M., Choi, J.-S., Jung, M. H., Choi, C.-H., & Kwon, J. S. (2011) · Acta Psychiatrica Scandinavica · doi:10.1111/j.1600-0447.2010.01659.x · Cited by 68
Mori, A., Okamoto, Y., Okada, G., Takagaki, K., Jinnin, R., Takamura, M., Kobayakawa, M., & Yamawaki, S. (2016) · Journal of Affective Disorders · doi:10.1016/j.jad.2015.09.036 · Cited by 49
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Metadata
- Authors
- Oldham, S., Murawski, C., Fornito, A., Youssef, G., Yücel, M., & Lorenzetti, V.
- Venue
- Human Brain Mapping
- Publisher
- Wiley
- Published
- 2018-04-25
- Volume
- 39
- Issue
- 8
- Pages
- 3398-3418
- ISSN
- 1065-9471 (ISSN-L)
- 1097-0193
- OpenAlex
- W2800351030
- Cited by
- 425
- References
- 57
- FWCI
- 19.78
- Type
- journal article
- Language
- en
- Open access
- hybrid
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