Cited by 1,026Neurotransmitter Receptor Influence on BehaviorNeural and Behavioral Psychology StudiesMemory and Neural Mechanisms

The DOI matches its Crossref record; 41 of the 41 references it cites were found in a registry or an index; none of the 39 sources its claims cite is checked for support yet.

A selective role for dopamine in stimulus-reward learning

Open access

Abstract

Individuals make choices and prioritize goals using complex processes that assign value to rewards and associated stimuli. During Pavlovian learning, previously neutral stimuli that predict rewards can acquire motivational properties, becoming attractive and desirable incentive stimuli. However, whether a cue acts solely as a predictor of reward, or also serves as an incentive stimulus, differs between individuals. Thus, individuals vary in the degree to which cues bias choice and potentially promote maladaptive behaviour. Here we use rats that differ in the incentive motivational properties they attribute to food cues to probe the role of the neurotransmitter dopamine in stimulus–reward learning. We show that intact dopamine transmission is not required for all forms of learning in which reward cues become effective predictors. Rather, dopamine acts selectively in a form of stimulus–reward learning in which incentive salience is assigned to reward cues. In individuals with a propensity for this form of learning, reward cues come to powerfully motivate and control behaviour. This work provides insight into the neurobiology of a form of stimulus–reward learning that confers increased susceptibility to disorders of impulse control.

Overview

AI snapshot

Written from the paper’s full text.

TL;DR

Dopamine is not required for all forms of stimulus-reward learning; it selectively supports the attribution of incentive salience to reward cues. In rats, sign-trackers show increasing CS-evoked and decreasing US-evoked nucleus accumbens dopamine during Pavlovian conditioning, and dopamine antagonism prevents acquisition of sign-tracking but not goal-tracking conditioned responses.

Key findings

  • Systemic flupenthixol attenuated performance of the conditioned response in both bHRs and bLRs, but only bHRs failed to acquire a sign-tracking CR when trained on drug; on drug-free session 8, bHRs still failed to show sign-tracking (P≤0.01 vs saline), whereas bLRs showed a fully developed goal-tracking CR (session 8 vs session 1, P≤0.0002; vs bLR saline, P≥0.6).
  • During acquisition, CS-evoked dopamine release increased in bHRs relative to unpaired controls (pairing × session: F(5,35)=4.58, P=0.003) but not bLRs (F(5,35)=0.94, P=0.46); trial-by-trial correlation with trial number was significant for bHR (r²=0.14, P<0.0001) but not bLR (r²=0.003, P=0.54), with different slopes (P=0.005) and higher CS-evoked dopamine in bHRs after acquisition (session six, P=0.04).
  • US-evoked dopamine release was lower after acquisition in bHRs (session six, P=0.002), and CS and US signals diverged in bHRs (stimulus × session: F(5,40)=5.47, P=0.0006) but not bLRs (F(5,40)=0.28, P=0.92).
  • Outbred rats reproduced the pattern: sign-trackers showed increased CS-evoked and decreased US-evoked dopamine during learning (stimulus × session: F(5,50)=4.43, P=0.002), whereas goal-trackers did not (F(5,40)=0.48, P=0.72); the lever-CS was also a more effective conditioned reinforcer in bHRs than bLRs (phenotype × group interaction for active nose pokes: F(1,33)=4.82, P=0.04).

Methods

  • Adult male Sprague-Dawley rats from a selective-breeding colony (bHR/bLR, generations S18–S22) and commercially obtained outbred rats underwent Pavlovian conditioning with a lever-CS paired with food; conditioned responses were classified as sign-tracking (approach lever-CS) or goal-tracking (approach food-tray).
  • Fast-scan cyclic voltammetry at carbon-fiber microelectrodes in the nucleus accumbens core measured phasic dopamine (scans every 100 ms, 10 Hz) during conditioning; recording sites were verified histologically.
  • Flupenthixol (i.p.) was given for performance (150, 300, or 600 μg/kg before sessions 9, 11, 13, counterbalanced with saline before sessions 8, 10, 12, 14) and for acquisition (225 μg/kg before sessions 1–7); main analyses used ANOVA/ANOVA with session as a continuous variable and correlations.

Limitations

  • Stated: the neural mechanisms underlying sign-tracking and goal-tracking behavior remain to be elucidated; the neurochemical data alone do not rule out the possibility that prediction-error signals are present in other dopamine terminal regions.
  • Stated: the post-acquisition flupenthixol finding needs cautious interpretation because of a non-specific effect on activity.
  • Evident from the text: the causal dopamine manipulation was systemic flupenthixol, and the sample was male rats (selectively bred plus outbred); no female or human data are reported.

Model-written summary. Check it against the paper before relying on it.

Integrity signals

Registry

Crossref · 10.1038/nature09588

Cites

41 of 41 references verified0 citation errors · 0 not checkable

Statistics

15 tests recomputed · 0 with the reported and recomputed p on opposite sides of .05

Verification

Claims the paper makes

0 of 39 cited sources checked · 0 supported · 0 flagged

Show all 25 claims

  • It may state two separate claims as one. 33
  • The quote only partly states this claim. 1
  • Probably not a substantial claim. 4
35 of 35
  • The paper relies on this without support.

    It has been difficult to determine whether dopamine mediates the predictive or the motivational properties of reward-associated cues, because these two features are often acquired together.

    “To date, it has been difficult to determine whether dopamine mediates the predictive or the motivational properties of reward-associated cues, because these two features are often acquired together.”
  • The paper relies on this without support.

    The neural mechanisms underlying sign-tracking and goal-tracking behavior remain to be elucidated.

    “The neural mechanisms underlying sign-tracking and goal-tracking behavior remain to be elucidated.”
2 of 2

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?

Statistics that don’t add up

Each reported p-value recomputed from its test statistic and degrees of freedom.

  • Inconsistent p-value: F(5,40) = 0.48, p = .72

    Minor

    The paper reports p = .72 here; recomputing from the test statistic and its degrees of freedom gives p = .789. The check cannot tell whether the statistic or the p-value is the misprint.

    Reported p = .72 · recomputed p = .789

1 of 1

Statistics recomputed

Every reported test result, recomputed from its test statistic and degrees of freedom. A result shows as not adding up only once an independent check has confirmed it.

  • Doesn’t add upF(5, 40) = 0.48reported p = .72 · recomputed p = .789

    “F(5,40) = 0.48, p = .72”

  • ConsistentF(1, 236) = 3.02reported p = .08 · recomputed p = .084

    “F(1,236)=3.02, p = .08”

  • ConsistentF(1, 236) = 0.93reported p = .34 · recomputed p = .336

    “F(1,236)=0.93, p = .34”

  • ConsistentF(1, 33) = 4.82reported p = .04 · recomputed p = .035

    “F(1,33)=4.82, p = .04”

  • ConsistentF(5, 20) = 5.76reported p = .002 · recomputed p = .002

    “F(5,20) = 5.76, p = .002”

  • ConsistentF(5, 20) = 5.18reported p = .003 · recomputed p = .003

    “F(5,20) = 5.18, p = .003”

  • ConsistentF(5, 40) = 10.5reported p < .0001 · recomputed p < .001

    “F(5,40) = 10.5, p < .0001”

  • ConsistentF(1, 8) = 0.13reported p = .73 · recomputed p = .728

    “F(1,8) = 0.13, p = .73”

  • ConsistentF(5, 40) = 1.16reported p = .35 · recomputed p = .346

    “F(5,40) = 1.16, p = .35”

  • ConsistentF(5, 35) = 4.58reported p = .003 · recomputed p = .003

    “F(5,35) = 4.58, p = .003”

  • ConsistentF(5, 35) = 0.94reported p = .46 · recomputed p = .467

    “F(5,35) = 0.94, p = .46”

  • ConsistentF(5, 40) = 6.09reported p = .0003 · recomputed p < .001

    “F(5,40) = 6.09, p = .0003”

  • ConsistentF(5, 40) = 5.47reported p = .0006 · recomputed p < .001

    “F(5,40) = 5.47, p = .0006”

  • ConsistentF(5, 40) = 0.28reported p = .92 · recomputed p = .921

    “F(5,40) = 0.28, p = .92”

  • ConsistentF(5, 50) = 4.43reported p = .002 · recomputed p = .002

    “F(5,50) = 4.43, p = .002”

15 of 15

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

Self-check results appear here once an independent check has confirmed them.

Citations

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Metadata

Authors
Flagel, S. B., Clark, J. J., Robinson, T. E., Mayo, L., Czuj, A., Willuhn, I., Akers, C. A., Clinton, S. M., Phillips, P. E. M., & Akil, H.
Affiliations
  • University of Michigan (US)
  • University of Washington (US)
Corresponding author
  • Phillips, Paul E. M.
  • Akil, Huda
Venue
Nature
Published
2010-12-08
Volume
469
Issue
7328
Pages
53-57
ISSN
  • 0028-0836 (ISSN-L)
  • 1476-4687
OpenAlex
W2116049552
Cited by
1,026
References
41
Citations by year
2026: 43 · 2025: 45 · 2024: 56 · 2023: 54 · 2022: 63 · 2021: 57 · 2020: 101 · 2019: 60 · 2018: 55 · 2017: 58 · 2016: 84 · 2015: 82 · 2014: 80 · 2013: 85 · 2012: 59
FWCI
24.20
Type
journal article
Language
en
Open access
Locations
  • Nature (publishedVersion)
  • PubMed (publishedVersion)
  • PubMed Central (acceptedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
Funders
  • National Institutes of Health (2t32da007278-31)
  • National Institute of Mental Health (R00MH085859, R01MH079292)
  • National Institute on Drug Abuse (F32-DA24540, P01DA021633, T32-DA07278, T32-DA007278, F32DA024540, R37DA004294, R37 DA04294, R01DA027858)
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 › Memory and Neural Mechanisms
Keywords
dopamine, incentive salience, classical conditioning, incentive motivation, food cues, selective breeding, dopamine receptor blockade, cyclic voltammetry, individual differences, impulse control disorders, drug addiction
MeSH terms
Animals, Conditioning, Classical, Cues, Dopamine, Flupenthixol, Food, Disruptive, Impulse Control, and Conduct Disorders, Learning, Male, Microelectrodes, Models, Neurological, Motivation, Synaptic Transmission, Nucleus Accumbens, Phenotype, Probability, Reward, Signal Transduction, Rats, Sprague-Dawley, Dopamine Antagonists, Rats

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