Evidence map›Paper›PMID 28202786›Full record

Trial reportThe Journal of neuroscience : the official journal of the Society for Neuroscience2017

Dopamine Modulates Adaptive Prediction Error Coding in the Human Midbrain and Striatum.

Kelly M J Diederen, Hisham Ziauddeen, Martin D Vestergaard, Tom Spencer, Wolfram Schultz, Paul C Fletcher

Open access · bronzeAbstract readRandomized Controlled Trial
In one paragraph

Trial report in The Journal of neuroscience : the official journal of the Society for Neuroscience, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed, 2 pooled it
4.9field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

48 citing papers in PubMed, 2 syntheses or guidelines pooled it, 114 citations in OpenAlex.

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  16. Risk-Taking Is Associated with Decreased Subjective Value Signals and Increased Prediction Error Signals in the Hot Columbia Card Task.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024
    Article
  17. Reinforcement feedback impairs locomotor adaptation and retention.Frontiers in behavioral neuroscience · 2024
    Article
  18. The Placebo Effect in Psychosis: Why It Matters and How to Measure It.Biological psychiatry global open science · 2023
    Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 2 countries.

Kelly M J DiederenDepartment of Psychiatry and k.diederen@gmail.com.ORCID 0000-0002-9619-6583
Hisham ZiauddeenDepartment of Psychiatry and.
Martin D VestergaardDepartment of Physiology, Development, and Neuroscience, University of Cambridge, Cambridge CB2 3DY, United Kingdom.
Tom SpencerDepartment of Psychiatry and.
Wolfram SchultzDepartment of Physiology, Development, and Neuroscience, University of Cambridge, Cambridge CB2 3DY, United Kingdom.ORCID 0000-0002-8530-4518
Paul C FletcherDepartment of Psychiatry and.ORCID 0000-0001-8257-1517
Fulbourn Hospital · GBUniversity of Cambridge · GB

Funding

The Neurobiology of Social Decision-Making: Social Inference and ContextP50MH094258 · NIMH · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI O'DOHERTY, JOHN P · 2012 to 2021
$18.6M
NIMH NIH HHS P50 MH094258Wellcome Trust
6 · The paper itself

Abstract

Learning to optimally predict rewards requires agents to account for fluctuations in reward value. Recent work suggests that individuals can efficiently learn about variable rewards through adaptation of the learning rate, and coding of prediction errors relative to reward variability. Such adaptive coding has been linked to midbrain dopamine neurons in nonhuman primates, and evidence in support for a similar role of the dopaminergic system in humans is emerging from fMRI data. Here, we sought to investigate the effect of dopaminergic perturbations on adaptive prediction error coding in humans, using a between-subject, placebo-controlled pharmacological fMRI study with a dopaminergic agonist (bromocriptine) and antagonist (sulpiride). Participants performed a previously validated task in which they predicted the magnitude of upcoming rewards drawn from distributions with varying SDs. After each prediction, participants received a reward, yielding trial-by-trial prediction errors. Under placebo, we replicated previous observations of adaptive coding in the midbrain and ventral striatum. Treatment with sulpiride attenuated adaptive coding in both midbrain and ventral striatum, and was associated with a decrease in performance, whereas bromocriptine did not have a significant impact. Although we observed no differential effect of SD on performance between the groups, computational modeling suggested decreased behavioral adaptation in the sulpiride group. These results suggest that normal dopaminergic function is critical for adaptive prediction error coding, a key property of the brain thought to facilitate efficient learning in variable environments. Crucially, these results also offer potential insights for understanding the impact of disrupted dopamine function in mental illness.

Indexed as

Adaptation, PhysiologicalAdultBromocriptineComputer SimulationCorpus StriatumDopamine AgonistsDopamine AntagonistsDouble-Blind MethodFemaleGenetic TestingHealthy VolunteersHumansImage Processing, Computer-AssistedMaleMesencephalonMotivationBromocriptineDopamine AgonistsDopamine AntagonistsOxygenSulpirideadaptationdopaminefMRIpharmacological interventionprediction errorsreward

Identifiers

PMID28202786
PMCPMC5320604
OpenAlexW2586293486

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.