Mind matters: placebo enhances reward learning in Parkinson's disease
Open accessAbstract
Expectations have a powerful influence on how we experience the world. Neurobiological and computational models of learning suggest that dopamine is crucial for shaping expectations of reward and that expectations alone may influence dopamine levels. However, because expectations and reinforcers are typically manipulated together, the role of expectations per se has remained unclear. We separated these two factors using a placebo dopaminergic manipulation in individuals with Parkinson's disease. We combined a reward learning task with functional magnetic resonance imaging to test how expectations of dopamine release modulate learning-related activity in the brain. We found that the mere expectation of dopamine release enhanced reward learning and modulated learning-related signals in the striatum and the ventromedial prefrontal cortex. These effects were selective to learning from reward: neither medication nor placebo had an effect on learning to avoid monetary loss. These findings suggest a neurobiological mechanism by which expectations shape learning and affect.
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
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?
Expectations could influence the impact of prediction errors by modulating learning rates, boosting learning for adjustments aligned with expected outcomes and reducing learning when outcomes deviate from expectations.
“Second, expectations could influence the impact of prediction errors by modulating learning rates, boosting learning for adjustments aligned with expected outcomes and reducing learning when the outcomes deviate from expectations (12, 48).”
From Social information creates self-fulfilling prophecies in judgments of pain, vicarious pain, and cognitive effort (2026) · cites this paper as [48]
The Discussion (page unavailable) says expectations of drug effects mimicked medication effects on learning rates, supporting the general point that expectations can influence learning. But the Results and Online Methods report a lower learning rate under placebo for gain trials and no learning-rate difference for loss trials. They do not establish higher rates for adjustments aligned with expected outcomes and lower rates for deviations from them. (LLM, conf=0.84)
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Reinforcement Learning: An Introduction
Sutton, R. S., & Barto, A. G. (1998) · IEEE Transactions on Neural Networks · doi:10.1109/tnn.1998.712192 · Cited by 27,225 · see citing works
Reinforcement Learning: An Introduction
Sutton, R. S., & Barto, A. (2005) · IEEE Transactions on Neural Networks · doi:10.1109/tnn.2004.842673 · Cited by 25,263 · see citing works
Maldjian, J., Laurienti, P., Kraft, R., & Burdette, J. (2003) · NeuroImage · doi:10.1016/s1053-8119(03)00169-1 · Cited by 5,453 · see citing works
Cortical substrates for exploratory decisions in humans
Daw, N. D., O'Doherty, J. P., Dayan, P., Seymour, B., & Dolan, R. J. (2006) · Nature · doi:10.1038/nature04766 · Cited by 2,224 · see citing works
Antidepressant Drug Effects and Depression Severity: A Patient-Level Meta-analysis
Fournier, J. C., DeRubeis, R. J., Hollon, S. D., Dimidjian, S., Amsterdam, J. D., Shelton, R. C., & Fawcett, J. (2010) · JAMA · doi:10.1001/jama.2009.1943 · Cited by 2,009 · see citing works
Placebo-Induced Changes in fMRI in the Anticipation and Experience of Pain
Wager, T. D., Rilling, J. K., Smith, E. E., Sokolik, A., Casey, K. L., Davidson, R. J., Kosslyn, S. M., Rose, R. M., & Cohen, J. D. (2004) · Science · doi:10.1126/science.1093065 · Cited by 1,992 · see citing works
Self-citationBy Carrot or by Stick: Cognitive Reinforcement Learning in Parkinsonism
Frank, M. J., Seeberger, L. C., & O'Reilly, R. C. (2004) · Science · doi:10.1126/science.1102941 · Cited by 1,964 · see citing works
The Unified Parkinson's Disease Rating Scale (UPDRS): Status and recommendations
Movement Disorder Society Task Force on Rating Scales for Parkinson's Disease (2003) · Movement Disorders · doi:10.1002/mds.10473 · Cited by 1,811 · see citing works
Dopamine-dependent prediction errors underpin reward-seeking behaviour in humans
Pessiglione, M., Seymour, B., Flandin, G., Dolan, R. J., & Frith, C. D. (2006) · Nature · doi:10.1038/nature05051 · Cited by 1,584 · see citing works
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 · see citing works
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 · see citing works
Disease duration and the integrity of the nigrostriatal system in Parkinson’s disease
Kordower, J. H., Olanow, C. W., Dodiya, H. B., Chu, Y., Beach, T. G., Adler, C. H., Halliday, G. M., & Bartus, R. T. (2013) · Brain · doi:10.1093/brain/awt192 · Cited by 1,294 · see citing works
Reliability, validity, and clinical correlates of apathy in Parkinson's disease
STARKSTEIN, S. E., Mayberg, H. S., Preziosi, T. J., Andrezejewski, P., Leiguarda, R. C., & Robinson, R. G. (1992) · Journal of Neuropsychiatry · doi:10.1176/jnp.4.2.134 · Cited by 1,187 · see citing works
Expectation and Dopamine Release: Mechanism of the Placebo Effect in Parkinson's Disease
de la Fuente‐Fernández, R., Ruth, T. J., Sossi, V., Schulzer, M., Calne, D. B., & Stoessl, A. J. (2001) · Science · doi:10.1126/science.1060937 · Cited by 991 · see citing works
Response expectancy as a determinant of experience and behavior.
Kirsch, I. (1985) · American Psychologist · doi:10.1037/0003-066x.40.11.1189 · Cited by 974 · see citing works
Associative learning of social value
Behrens, T. E. J., Hunt, L. T., Woolrich, M. W., & Rushworth, M. F. S. (2008) · Nature · doi:10.1038/nature07538 · Cited by 925 · see citing works
Temporal Prediction Errors in a Passive Learning Task Activate Human Striatum
McClure, S. M., Berns, G. S., & Montague, P. R. (2003) · Neuron · doi:10.1016/s0896-6273(03)00154-5 · Cited by 917 · see citing works
Cools, R. (2001) · Cerebral Cortex · doi:10.1093/cercor/11.12.1136 · Cited by 906 · see citing works
Hare, T. A., O'Doherty, J., Camerer, C. F., Schultz, W., & Rangel, A. (2008) · The Journal of Neuroscience · doi:10.1523/jneurosci.1309-08.2008 · Cited by 792 · see citing works
Listening to Prozac but hearing placebo: A meta-analysis of antidepressant medication.
Kirsch, I., & Sapirstein, G. (1998) · Prevention & Treatment · doi:10.1037/1522-3736.1.1.12a · Cited by 509 · see citing works
Trial-by-trial data analysis using computational models
Daw, N. D. (2011) · Oxford University Press eBooks · doi:10.1093/acprof:oso/9780199600434.003.0001 · Cited by 472 · see citing works
The computational neurobiology of learning and reward
Daw, N. D., & Doya, K. (2006) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2006.03.006 · Cited by 462 · see citing works
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 · see citing works
Heterosynaptic Dopamine Neurotransmission Selects Sets of Corticostriatal Terminals
Bamford, N. S., Zhang, H., Schmitz, Y., Wu, N.-P., Cepeda, C., Levine, M. S., Schmauss, C., Zakharenko, S. S., Zablow, L., & Sulzer, D. (2004) · Neuron · doi:10.1016/s0896-6273(04)00265-x · Cited by 373 · see citing works
The role of conditioning and verbal expectancy in the placebo response
Voudouris, N. J., Peck, C. L., & Coleman, G. (1990) · Pain · doi:10.1016/0304-3959(90)90057-k · Cited by 369 · see citing works
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 · see citing works
Methods and Software for fMRI Analysis of Clinical Subjects
Mazaika, P. K., Hoeft, F., Glover, G. H., & Reiss, A. L. (2009) · NeuroImage · doi:10.1016/s1053-8119(09)70238-1 · Cited by 356 · see citing works
Bódi, N., Kéri, S., Nagy, H., Moustafa, A. A., Myers, C. E., Daw, N. D., Dibó, G., Takáts, A., Bereczki, D., & Gluck, M. A. (2009) · Brain · doi:10.1093/brain/awp094 · Cited by 356 · see citing works
Plassmann, H., O'Doherty, J. P., & Rangel, A. (2010) · The Journal of Neuroscience · doi:10.1523/jneurosci.0788-10.2010 · Cited by 356 · see citing works
Dopamine release in human ventral striatum and expectation of reward.
de la Fuente-Fernández, R., Phillips, A., Zamburlini, M., Sossi, V., Calne, D., Ruth, T. J., & Stoessl, A. (2002) · Behavioural Brain Research · doi:10.1016/s0166-4328(02)00130-4 · Cited by 329 · see citing works
Effects of Expectation on Placebo-Induced Dopamine Release in Parkinson Disease
Lidstone, S. C., Schulzer, M., Dinelle, K., Mak, E., Sossi, V., Ruth, T. J., de la Fuente‐Fernández, R., Phillips, A. G., & Stoessl, A. J. (2010) · Archives of General Psychiatry · doi:10.1001/archgenpsychiatry.2010.88 · Cited by 325 · see citing works
Negative Symptoms and the Failure to Represent the Expected Reward Value of Actions
Gold, J. M. (2012) · Archives of General Psychiatry · doi:10.1001/archgenpsychiatry.2011.1269 · Cited by 319 · see citing works
Subliminal Instrumental Conditioning Demonstrated in the Human Brain
Pessiglione, M., Petrovic, P., Daunizeau, J., Palminteri, S., Dolan, R. J., & Frith, C. D. (2008) · Neuron · doi:10.1016/j.neuron.2008.07.005 · Cited by 308 · see citing works
Benedetti, F., Colloca, L., Torre, E., Lanotte, M., Melcarne, A., Pesare, M., Bergamasco, B., & Lopiano, L. (2004) · Nature Neuroscience · doi:10.1038/nn1250 · Cited by 303 · see citing works
Mechanisms underlying dopamine-mediated reward bias in compulsive behaviors
Voon, V., Pessiglione, M., Brezing, C., Gallea, C., Fernandez, H. H., Dolan, R. J., & Hallett, M. (2010) · Neuron · doi:10.1016/j.neuron.2009.12.027 · Cited by 280 · see citing works
McRae, C., Cherin, E. A., Yamazaki, T. G., Diem, G., Vo, A. H., Russell, D. W., Ellgring, J. H., Fahn, S., Greene, P. E., Dillon, S., et al. (2004) · Archives of General Psychiatry · doi:10.1001/archpsyc.61.4.412 · Cited by 278 · see citing works
Neurobiological Mechanisms of Placebo Responses
Zubieta, J., & Stohler, C. S. (2009) · Annals of the New York Academy of Sciences · doi:10.1111/j.1749-6632.2009.04424.x · Cited by 277 · see citing works
Dopamine restores reward prediction errors in old age
Chowdhury, R., Guitart‐Masip, M., Lambert, C., Dayan, P., Huys, Q. J. M., Düzel, E., & Dolan, R. J. (2013) · Nature Neuroscience · doi:10.1038/nn.3364 · Cited by 267 · see citing works
Goetz, C. G., Wuu, J., McDermott, M. P., Adler, C. H., Fahn, S., Freed, C. R., Hauser, R. A., Olanow, W. C., Shoulson, I., Tandon, P. K., et al. (2008) · Movement Disorders · doi:10.1002/mds.21894 · Cited by 253 · see citing works
Dopamine Modulates Release from Corticostriatal Terminals
Bamford, N. S., Robinson, S., Palmiter, R. D., Joyce, J. A., Moore, C., & Meshul, C. K. (2004) · Journal of Neuroscience · doi:10.1523/jneurosci.2891-04.2004 · Cited by 238 · see citing works
Schweinhardt, P., Seminowicz, D. A., Jaeger, E., Duncan, G. H., & Bushnell, M. C. (2009) · The Journal of Neuroscience · doi:10.1523/jneurosci.5634-08.2009 · Cited by 210 · see citing works
Reinforcement learning, conditioning, and the brain: Successes and challenges
Maia, T. V. (2009) · Cognitive Affective & Behavioral Neuroscience · doi:10.3758/cabn.9.4.343 · Cited by 184 · see citing works
Learning potentiates neurophysiological and behavioral placebo analgesic responses
Colloca, L., Tinazzi, M., Recchia, S., Le Pera, D., Fiaschi, A., Benedetti, F., & Valeriani, M. (2008) · Pain · doi:10.1016/j.pain.2008.04.021 · Cited by 180 · see citing works
How the doctor's words affect the patient's brain
Benedetti, F. (2002) · Evaluation & the Health Professions · doi:10.1177/0163278702238051 · Cited by 173 · see citing works
l-dopa impairs learning, but spares generalization, in Parkinson's disease
Daphna Shohamy, A., Myers, C. E., Geghman, K. D., Sage, J., & Gluck, M. A. (2005) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2005.07.013 · Cited by 152 · see citing works
How instructed knowledge modulates the neural systems of reward learning
Li, J., Delgado, M. R., & Phelps, E. A. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1014938108 · Cited by 149 · see citing works
Pharmacological modulation of subliminal learning in Parkinson's and Tourette's syndromes
Palminteri, S., Lebreton, M. P., Worbe, Y., Grabli, D., Hartmann, A., & Pessiglione, M. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0904035106 · Cited by 147 · see citing works
Placebo influences on dyskinesia in Parkinson's disease
Goetz, C. G., LASKA, E. M., Hicking, C., Damier, P., Müller, T. H., Nutt, J. G., Olanow, C. W., Rascol, O., & Russ, H. (2008) · Movement Disorders · doi:10.1002/mds.21897 · Cited by 123 · see citing works
General mechanisms for making decisions?
Rushworth, M. F. S., Mars, R. B., & Summerfield, C. (2009) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2009.02.005 · Cited by 119 · see citing works
The role of dopamine in cognitive sequence learning: evidence from Parkinson’s disease
Daphna Shohamy, A., Myers, C. E., Grossman, S., Sage, J., & Gluck, M. A. (2004) · Behavioural Brain Research · doi:10.1016/j.bbr.2004.05.023 · Cited by 114 · see citing works
Regulation of prefrontal excitatory neurotransmission by dopamine in the nucleus accumbens core
Wang, W., Dever, D., Lowe, J., Storey, G. P., Bhansali, A. P., Eck, E. K., Niţulescu, I., Weimer, J., & Bamford, N. S. (2012) · The Journal of Physiology · doi:10.1113/jphysiol.2012.235200 · Cited by 83 · see citing works
Schönberg, T., O’Doherty, J. P., Joel, D., Inzelberg, R., Segev, Y., & Daw, N. D. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.08.011 · Cited by 81 · see citing works
Benedetti, F., Lanotte, M., Colloca, L., Ducati, A., Zibetti, M., & Lopiano, L. (2009) · The Journal of Physiology · doi:10.1113/jphysiol.2009.169425 · Cited by 80 · see citing works
Estimating and testing variance components in a multi-level GLM
Lindquist, M. A., Spicer, J., Asllani, I., & Wager, T. D. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.07.077 · Cited by 40 · see citing works
Self-citationSchmidt, L., Palminteri, S., Lafargue, G., & Pessiglione, M. (2010) · Psychological Science · doi:10.1177/0956797610372636 · Cited by 33 · see citing works
Self-citationReinforcement Learning and Dynamic Programming
Barto, A. G. (1995) · IFAC Proceedings Volumes · doi:10.1016/s1474-6670(17)45266-9 · Cited by 25 · see citing works
REINFORCEMENT LEARNING AND DYNAMIC PROGRAMMING
Barto, A. G. (1995) · Elsevier eBooks · doi:10.1016/b978-0-08-042370-8.50010-0 · Cited by 12 · see citing works
Flagged first, then by citations
Research works printed but not linked: 10
- [14]Daw ND Decision making, affect, learning: attention and performance xxiii 1 Delgado MR Phelps EA Robbins TW Oxford University Press 2011
- [48]Frank MJ Seeberger LC O’Reilly RC By carrot or by stick: cognitive reinforcement learning in parkinsonism Science 306 1940 1943 2004 15528409
- [51]de la Fuente–Fernandez R Expectation and dopamine release: mechanism of the placebo effect in Parkinson’s disease Science 293 1164 1166 2001 11498597
- [52]Benedetti F Placebo–responsive Parkinson patients show decreased activity in single neurons of subthalamic nucleus Nat Neurosci 7 587 588 2004 15146189
- [55]Spielberger CD State–Trait Anxiety Inventory: Bibliography 2 Consulting Psychologists Press 1989
- [60]Hare TA O’Doherty J Camerer CF Schultz W Rangel A Dissociating the role of the orbitofrontal cortex and the striatum in the computation of goal values and prediction errors J Neurosci 28 5623 5630 2008 18509023 PMC6670807
- [61]Pessiglione M Seymour B Flandin G Dolan RJ Frith CD Dopamine–dependent prediction errors underpin reward–seeking behaviour in humans Nature 442 1042 1045 2006 16929307 PMC2636869
- [62]Behrens TE Hunt LT Woolrich MW Rushworth MF Associative learning of social value Nature 456 245 249 2008 19005555 PMC2605577
- [63]Niv Y Edlund JA Dayan P O’Doherty JP Neural prediction errors reveal a risk–sensitive reinforcement–learning process in the human brain J Neurosci 32 551 562 2012 22238090 PMC6621075
- [64]Li J Delgado MR Phelps EA How instructed knowledge modulates the neural systems of reward learning Proc Natl Acad Sci U S A 108 55 60 2011 21173266 PMC3017128
Cited by
Sorted by citations
Wulf, G., & Lewthwaite, R. (2016) · Psychonomic Bulletin & Review · doi:10.3758/s13423-015-0999-9 · Cited by 1,238 · see citing works
The neuroscience of placebo effects: connecting context, learning and health
Wager, T. D., & Atlas, L. Y. (2015) · Nature Reviews Neuroscience · doi:10.1038/nrn3976 · Cited by 844 · see citing works
Self-citationSchedlowski, M., Enck, P., Rief, W., & Bingel, U. (2015) · Pharmacological Reviews · doi:10.1124/pr.114.009423 · Cited by 323 · see citing works
Neuronal circuits in barrel cortex for whisker sensory perception
Staiger, J. F., & Petersen, C. C. H. (2021) · Physiological Reviews · doi:10.1152/physrev.00019.2019 · Cited by 165 · see citing works
Forming global estimates of self-performance from local confidence
Rouault, M., Dayan, P., & Fleming, S. M. (2019) · Nature Communications · doi:10.1038/s41467-019-09075-3 · Cited by 134 · see citing works
Rief, W., Barsky, A. J., Bingel, U., Doering, B. K., Schwarting, R., Wöhr, M., & Schweiger, U. (2016) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2015.11.008 · Cited by 67 · see citing works
Yazdanpanah, A., Jung, H., Soltani, A., & Wager, T. D. (2026) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2513856123 · Cited by 1 · see citing works
“Second, expectations could influence the impact of prediction errors by modulating learning rates, boosting learning for adjustments aligned with expected outcomes and reducing learning when the outcomes deviate from expectations (12, 48).”
Self-citationEvolution of cellular diversity in primary motor cortex of human, marmoset monkey, and mouse
Bakken, T. E., Jorstad, N. L., Hu, Q., Lake, B. B., Tian, W., Kalmbach, B. E., Crow, M., Hodge, R. D., Krienen, F. M., Sorensen, S. A., et al. (2020) · doi:10.1101/2020.03.31.016972 · Cited by 809 · see citing works
“Cv3 1207 GABAergic and SSv4 GABAergic); (2) finding marker genes for all clusters within each technology; (3) 1208”
BackgroundAn integrated transcriptomic and epigenomic atlas of mouse primary motor cortex cell types
Yao, Z., Liu, H., Xie, F., Fischer, S., Booeshaghi, A. S., Adkins, R. S., Aldridge, A. I., Ament, S. A., Pinto-Duarte, A., Bartlett, A., et al. (2020) · doi:10.1101/2020.02.29.970558 · Cited by 397 · see citing works
- Authors
- Schmidt, L., Braun, E. K., Wager, T. D., & Shohamy, D.
- Affiliations
- Columbia University (US)
- University of Colorado Boulder (US)
- Corresponding author
- Wager, Tor D
- Venue
- Nature Neuroscience
- Published
- 2014-10-19
- Volume
- 17
- Issue
- 12
- Pages
- 1793-1797
- ISSN
- 1097-6256 (ISSN-L)
- 1546-1726
- PMC
- PMC4503317
- OpenAlex
- W2054358775
- Cited by
- 84
- References
- 57
- Citations by year
- 2026: 5 · 2025: 2 · 2024: 10 · 2023: 6 · 2022: 5 · 2021: 5 · 2020: 7 · 2019: 5 · 2018: 9 · 2017: 10 · 2016: 7 · 2015: 11 · 2014: 1
- FWCI
- 4.42
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature Neuroscience (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institute of Mental Health (R01MH076136)
- 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 › Pain Management and Placebo Effect
- Keywords
- placebo effect, reward learning, Parkinson's disease, dopamine, expectations, ventromedial prefrontal cortex, ventral striatum, prediction error, expected value
- MeSH terms
- Aged, Aged, 80 and over, Antiparkinson Agents, Female, Humans, Learning, Magnetic Resonance Imaging, Male, Middle Aged, Parkinson Disease, Photic Stimulation, Reward, Thinking, Prefrontal Cortex
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