Evidence map›Paper›PMID 29505948›Full record

ReviewCurrent opinion in neurobiology2018

The biological and behavioral computations that influence dopamine responses.

W R Stauffer

Registry-linked trialOpen access · hybridAbstract readReview
In one paragraph

Review in Current opinion in neurobiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07402928 (Optimistic and Pessimistic Dopamine Signals in the Human Brain), which is not on this map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 54% 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.

NCT07402928 recruitingnot on this mapstarted 2025, after this paper: background citation

Optimistic and Pessimistic Dopamine Signals in the Human Brain: a Mapping and Modelling Study in Health and Parkinson's Disease

TypeobservationalSponsorDanish Research Centre for Magnetic ResonanceRan2025 to 2027Enrolled140ConditionsHealthy, Parkinson, Medication Administration
3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Inhibition of Dopamine Neurons Prevents Incentive Value Encoding of a Reward Cue: With Revelations from Deep Phenotyping.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2023
    Article
  2. Article
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

1 author at 1 institution in 1 country.

W R StaufferDepartment of Neurobiology, Systems Neuroscience Center, University of Pittsburgh, Pittsburgh, PA 15261, United States. Electronic address: wrs@pitt.edu.
University of Pittsburgh · US

Funding

Neural correlates of optimal value seeking in the reward systemDP2MH113095 · NIMH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI STAUFFER, WILLIAM RICHARD · 2016 to 2016
$2.3M
NIMH NIH HHS DP2 MH113095
6 · The paper itself

Abstract

Phasic dopamine responses demonstrate remarkable simplicity; they code for the differences between received and predicted reward values. Yet this simplicity belies the subtle complexity of the psychological, computational, and contextual factors that influence this signal. Advances in behavioral paradigms and models, in monkeys and rodents, have demonstrated that phasic dopamine responses reflect numerous behavioral computations and factors including choice, subjective value, confidence, and context. The application of optogenetics has provided evidence that dopamine reward prediction error responses cause value learning. Furthermore, studies using advanced circuit tracing techniques have begun to uncover the biological network implementation of the reward learning algorithm. The purpose of this review is to summarize the recent advances in dopamine neurophysiology and synthesize an updated account of the behavioral function of dopamine signals.

Indexed as

AnimalsBrainChoice BehaviorDopamineDopaminergic NeuronsHumansOptogeneticsRewardDopamine

Identifiers

PMID29505948
PMCPMC6095465
OpenAlexW2791355159

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

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.