Evidence map›Paper›PMID 25665667›Full record

SynthesisCognitive, affective & behavioral neuroscience2015

Reinforcement learning models and their neural correlates: An activation likelihood estimation meta-analysis.

Henry W Chase, Poornima Kumar, Simon B Eickhoff, Alexandre Y Dombrovski

Abstract readMeta-AnalysisReview
In one paragraph

Synthesis in Cognitive, affective & behavioral neuroscience, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 88 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
88citing papers in PubMed, 6 pooled it
–field-weighted citation impact
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

88 citing papers in PubMed, 6 syntheses or guidelines pooled it.

  1. Pooled it
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  6. Influence of task instructions and stimuli on the neural network of face processing: An ALE meta-analysis.Cortex; a journal devoted to the study of the nervous system and behavior · 2018
    Pooled it
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  8. Redefining bilingualism as a spectrum of experiences that differentially affects brain structure and function.Proceedings of the National Academy of Sciences of the United States of America · 2019
    Trial
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  19. Mechanisms of brain self-regulation: psychological factors, mechanistic models and neural substrates.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024
    Review
  20. Article

28 more citing papers are in PubMed but not listed here.

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

4 authors.

Henry W ChaseDepartment of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA, chaseh@upmc.edu.
Poornima Kumar
Simon B Eickhoff
Alexandre Y Dombrovski

Funding

Reward Learning in Late-Life Suicidal BehaviorR01MH100095 · NIMH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Alexandre Y. Dombrovski · 2014 to 2026
$6.8M
Cognitive and Affective Neuroscience of Decision-Making in Late-Life SuicideK23MH086620 · NIMH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI DOMBROVSKI, ALEXANDRE Y. · 2009 to 2013
$853k
NIMH NIH HHS K23 MH086620NIMH NIH HHS R01 MH100095
6 · The paper itself

Abstract

Reinforcement learning describes motivated behavior in terms of two abstract signals. The representation of discrepancies between expected and actual rewards/punishments-prediction error-is thought to update the expected value of actions and predictive stimuli. Electrophysiological and lesion studies have suggested that mesostriatal prediction error signals control behavior through synaptic modification of cortico-striato-thalamic networks. Signals in the ventromedial prefrontal and orbitofrontal cortex are implicated in representing expected value. To obtain unbiased maps of these representations in the human brain, we performed a meta-analysis of functional magnetic resonance imaging studies that had employed algorithmic reinforcement learning models across a variety of experimental paradigms. We found that the ventral striatum (medial and lateral) and midbrain/thalamus represented reward prediction errors, consistent with animal studies. Prediction error signals were also seen in the frontal operculum/insula, particularly for social rewards. In Pavlovian studies, striatal prediction error signals extended into the amygdala, whereas instrumental tasks engaged the caudate. Prediction error maps were sensitive to the model-fitting procedure (fixed or individually estimated) and to the extent of spatial smoothing. A correlate of expected value was found in a posterior region of the ventromedial prefrontal cortex, caudal and medial to the orbitofrontal regions identified in animal studies. These findings highlight a reproducible motif of reinforcement learning in the cortico-striatal loops and identify methodological dimensions that may influence the reproducibility of activation patterns across studies.

Indexed as

Brain MappingLikelihood FunctionsModels, PsychologicalReinforcement, PsychologyAnimalsBrainHumansStatistics as Topic

Identifiers

PMID25665667
PMCPMC4437864

What OpenQuestion holds

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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.