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Dorsal striatum responses to reward and punishment: Effects of valence and magnitude manipulations

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DELGADO, M. R., LOCKE, H. M., STENGER, V. A., FIEZ, J. A.·2003·Cognitive, Affective, & Behavioral Neuroscience

DOI 10.3758/cabn.3.1.27

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Abstract

The goal of this research was to further our understanding of how the striatum responds to the delivery of affective feedback. Previously, we had found that the striatum showed a pattern of sustained activation after presentation of a monetary reward, in contrast to a decrease in the hemodynamic response after a punishment. In this study, we tested whether the activity of the striatum could be modulated by parametric variations in the amount of financial reward or punishment. We used an event-related fMRI design in which participants received large or small monetary rewards or punishments after performance in a gambling task. A parametric ordering of conditions was observed in the dorsal striatum according to both magnitude and valence. In addition, an early response to the presentation of feedback was observed and replicated in a second experiment with increased temporal resolution. This study further implicates the dorsal striatum as an integral component of a reward circuitry responsible for the control of motivated behavior, serving to code for such feedback properties as valence and magnitude.

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Prospect Theory: An Analysis of Decision under Risk
Kahneman, D., & Tversky, A. (1979) · Econometrica · doi:10.2307/1914185 · Cited by 48,524
Prospect theory: An analysis of decision under risk
Kahneman, D. J., & Tversky, A. (1988) · Cambridge University Press eBooks · doi:10.1017/cbo9780511609220.014 · Cited by 32,720
The Framing of Decisions and the Psychology of Choice
Tversky, A., & Kahneman, D. (1981) · Science · doi:10.1126/science.7455683 · Cited by 18,497
AFNI: Software for analysis and visualization of functional magnetic resonance neuroimages
Cox, R. W. (1996) · Computers and Biomedical Research · doi:10.1006/cbmr.1996.0014 · Cited by 10,913
Emotion circuits in the brain
LeDoux, J. E. (2000) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.23.1.155 · Cited by 8,444
Dynamic magnetic resonance imaging of human brain activity during primary sensory stimulation.
Kwong, K. K., Belliveau, J. W., Chesler, D. A., Goldberg, I. E., Weisskoff, R. M., Poncelet, B. P., Kennedy, D. N., Hoppel, B. E., Cohen, M. S., & Turner, R. (1992) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.89.12.5675 · Cited by 4,212
Emotion, Decision Making and the Orbitofrontal Cortex
Bechara, A. (2000) · Cerebral Cortex · doi:10.1093/cercor/10.3.295 · Cited by 3,589
Improved assessment of significant activation in functional magnetic resonance imaging (fMRI): use of a cluster-size threshold
Forman, S. D., Cohen, J. D., Fitzgerald, M., Eddy, W. F., Mintun, M. A., & Noll, D. C. (1995) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910330508 · Cited by 3,202
The South Oaks Gambling Screen (SOGS): a new instrument for the identification of pathological gamblers
(1987) · American Journal of Psychiatry · doi:10.1176/ajp.144.9.1184 · Cited by 2,948
Anticipation of Increasing Monetary Reward Selectively Recruits Nucleus Accumbens
Knutson, B., Adams, C. M., Fong, G. W., & Hommer, D. (2001) · The Journal of Neuroscience · doi:10.1523/jneurosci.21-16-j0002.2001 · Cited by 2,244

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Crespi, L. P. (1942). Quantitative variation of reinforcement and level of performance. American Journal of Psychology, 55, 467-517.
Talairach, J., & Tournoux, P. (1988). Co-planar stereotaxic atlas of the human brain: An approach to medical cerebral imaging. New York: Thieme Medical Publishers.

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Authors: DELGADO, M. R., LOCKE, H. M., STENGER, V. A., & FIEZ, J. A.
Affiliations: University of Pittsburgh (US)
Corresponding author: DELGADO, M. R.
ORCID: DELGADO, M. R.
FIEZ, J. A.
Venue: Cognitive, Affective, & Behavioral Neuroscience
Publisher: Springer Science and Business Media LLC
Published: 2003-03-01
Volume: 3
Issue: 1
Pages: 27-38
ISSN: 1530-7026 (ISSN-L)
1531-135X
DOI: 10.3758/cabn.3.1.27
OpenAlex: W2128577709
Cited by: 431
References: 76
Citations by year: 2026: 4 · 2025: 8 · 2024: 9 · 2023: 11 · 2022: 11 · 2021: 15 · 2020: 15 · 2019: 20 · 2018: 22 · 2017: 12 · 2016: 17 · 2015: 17 · 2014: 26 · 2013: 35 · 2012: 19
FWCI: 7.98
Type: journal article
Language: en
Open access: bronze
doi.org
Licence: www.springer.com/tdm (tdm)
Locations: Cognitive Affective & Behavioral Neuroscience (publishedVersion)
PubMed (publishedVersion)
Funders: National Science Foundation (9720350)
National Institutes of Health
National Institute on Drug Abuse (R01DA14103, R01DA014103)
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 › Psychology › Clinical Psychology › Gambling Behavior and Treatments
Keywords: dorsal striatum, reward, punishment, emotional feedback, valence, reward magnitude, monetary rewards, gambling task, parametric modulation, motivated behavior, reward systems, hemodynamic response
MeSH terms: Adult, Affect, Analysis of Variance, Brain Mapping, Caudate Nucleus, Cerebral Cortex, Corpus Striatum, Evoked Potentials, Female, Humans, Magnetic Resonance Imaging, Male, Motivation, Punishment, Reinforcement, Psychology, Reward, Time Factors, Feedback, Psychological

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Dorsal striatum responses to reward and punishment: Effects of valence and magnitude manipulations

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