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Learning-related changes in reward expectancy are reflected in the feedback-related negativity
Open accessAbstract
The feedback‐related negativity (FRN) has been hypothesized to be linked to reward‐based learning. While many studies have shown that the FRN only occurs in response to unexpected negative outcomes, the relationship between the magnitude of negative prediction errors and FRN amplitude remains a matter of debate. The present study aimed to elucidate this relationship with a new behavioural procedure that allowed subjects to predict precise reward probabilities by learning an explicit rule. Insight into the rule did not only influence subjects' choice behaviour, but also outcome‐related event‐related potentials. After subjects had learned the rule, the FRN amplitude difference between non‐reward and reward mirrored the magnitude of the negative prediction error, i.e. it was larger for less likely negative outcomes. Source analysis linked this effect to the anterior cingulate cortex. P300 amplitude was also modulated by outcome valence and expectancy. It was larger for positive and unexpected outcomes. It remains to be clarified, however, whether the P300 reflects a positive prediction error.
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“ERP studies in healthy participants show that FRN/RewP amplitudes are modulated by reward expectancy and prediction error, and that learning-related changes in reward expectancy are reflected in the feedback-locked medial-frontal signal [128,130].”
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Citations
Cites
(2005) · Cited by 5,977
Holroyd, C. B., & Coles, M. G. H. (2002) · Psychological Review · doi:10.1037/0033-295x.109.4.679 · Cited by 4,027
Is the P300 component a manifestation of context updating?
Donchin, E., & Coles, M. G. H. (1988) · Behavioral and Brain Sciences · doi:10.1017/s0140525x00058027 · Cited by 3,585
Pascual-Marqui, R. D., Michel, C. M., & Lehmann, D. (1994) · International Journal of Psychophysiology · doi:10.1016/0167-8760(84)90014-x · Cited by 2,869
A neural system for error detection and compensation
Gehring, W. J., Goss, B., Coles, M. G. H., Meyer, D. E., & Donchin, E. (1993) · Psychological Science · doi:10.1111/j.1467-9280.1993.tb00586.x · Cited by 2,862
Lee, T.-W., Girolami, M., & Sejnowski, T. J. (1999) · Neural Computation · doi:10.1162/089976699300016719 · Cited by 1,967
The P300 wave of the human event-related potential
Picton, T. W. (1992) · Journal of Clinical Neurophysiology · doi:10.1097/00004691-199210000-00002 · Cited by 1,908
The Medial Frontal Cortex and the Rapid Processing of Monetary Gains and Losses
Gehring, W. J., & Willoughby, A. R. (2002) · Science · doi:10.1126/science.1066893 · Cited by 1,884
Miltner, W. H. R., Braun, C. H., & Coles, M. G. H. (1997) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.1997.9.6.788 · Cited by 1,530
FMRI visualization of brain activity during a monetary incentive delay task
Knutson, B., Westdorp, A., Kaiser, E., & Hommer, D. (2000) · NeuroImage · doi:10.1006/nimg.2000.0593 · Cited by 1,414
Research works printed but not linked: 4
- Dum R.P., 1993, Neurobiology of Cingulate Cortex and Limbic Thalamus: A Comprehensive Review, 414
- Van Hoesen G.W., 1993, Neurobiology of Cingulate Cortex and Limbic Thalamus: A Comprehensive Review, 414
- Holroyd C.B., 2004, Errors, Conflicts and the Brain: Current Opinions in Response Monitoring
- Talairach J., 1988, Co‐planar Stereotaxic Atlas of the Human Brain 3‐Dimensional Proportion System: an Approach to Medical Cerebral Imaging
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Dieterich, R., Wuellhorst, V., Berghäuser, J., Overmeyer, R., & Endraß, T. (2021) · Psychophysiology · doi:10.1111/psyp.13814 · Cited by 20
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Mushtaq, F., Stoet, G., Bland, A. R., & Schaefer, A. (2013) · PLoS ONE · doi:10.1371/journal.pone.0066350 · Cited by 23
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Salim, M. A. M., van der Veen, F. M., van Dongen, J. D. M., & Franken, I. H. A. (2015) · Biological Psychology · doi:10.1016/j.biopsycho.2015.07.001 · Cited by 23
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Faßbender, L., Krause, D., & Weigelt, M. (2023) · Psychophysiology · doi:10.1111/psyp.14439 · Cited by 22
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Cultural influences on the processing of social comparison feedback signals—an ERP study
Pfabigan, D. M., Wucherer, A. M., Wang, X., Pan, X., Lamm, C., & Han, S. (2018) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsy097 · Cited by 21
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Wischnewski, M., & Schutter, D. J. L. G. (2018) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2018.02.010 · Cited by 24
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Dyson, B. J., Musgrave, C. T., Rowe, C., & Sandhur, R. (2019) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2019.11.002 · Cited by 17
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Guo, D., Zhao, Y., Zhang, L., Wen, X., & Yin, C. (2019) · Journal of Neuroscience Psychology and Economics · doi:10.1037/npe0000102 · Cited by 17
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Li, F., Wang, J., Du, B., & Cao, B. (2018) · Frontiers in Psychology · doi:10.3389/fpsyg.2018.00057 · Cited by 13
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Zheng, Y., & Mei, S. (2023) · Human Brain Mapping · doi:10.1002/hbm.26398 · Cited by 13
Bandyopadhyay, D., Pammi, V. S. C., & Srinivasan, N. (2019) · Progress in brain research · doi:10.1016/bs.pbr.2019.04.004 · Cited by 11
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ERP correlates of error processing during performance on the Halstead Category Test
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Metadata
- Authors
- Bellebaum, C., & Daum, I.
- Affiliations
- Ruhr University Bochum (DE)
- ORCID
- Bellebaum, Christian
- Venue
- European Journal of Neuroscience
- Publisher
- Wiley
- Published
- 2008-03-31
- Volume
- 27
- Issue
- 7
- Pages
- 1823-1835
- ISSN
- 0953-816X (ISSN-L)
- 1460-9568
- OpenAlex
- W2138877238
- Cited by
- 299
- References
- 43
- Citations by year
- 2026: 9 · 2025: 12 · 2024: 11 · 2023: 13 · 2022: 5 · 2021: 20 · 2020: 15 · 2019: 31 · 2018: 28 · 2017: 17 · 2016: 15 · 2015: 20 · 2014: 25 · 2013: 25 · 2012: 13
- FWCI
- 6.74
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- European Journal of Neuroscience (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Bundesministerium für Bildung und Forschung (01GW0541)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neurotransmitter Receptor Influence on Behavior
- Social Sciences › Arts and Humanities › Philosophy › Free Will and Agency
- Keywords
- feedback-related negativity, reward expectancy, reward learning, prediction error, P300, outcome valence, outcome expectations, rule induction, anterior cingulate cortex, event-related potentials, choice behavior
- MeSH terms
- Adult, Female, Humans, Learning, Male, Motivation, Psychomotor Performance, Reaction Time, Reward, Event-Related Potentials, P300, Feedback, Psychological
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 ›
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