Evidence map›Paper›PMID 29431652›Full record

ArticleThe Journal of neuroscience : the official journal of the Society for Neuroscience2018

Dynamic Flexibility in Striatal-Cortical Circuits Supports Reinforcement Learning.

Raphael T Gerraty, Juliet Y Davidow, Karin Foerde, Adriana Galvan, Danielle S Bassett, Daphna Shohamy

Abstract read
In one paragraph

Article in The Journal of neuroscience : the official journal of the Society for Neuroscience, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers.

0numbers the graph read from it
0cells of the map it votes in
58citing papers in PubMed
–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

58 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Dorsal-Ventral Reinforcement Learning Network Connectivity and Incentive-Driven Changes in Exploration.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
    Article
  10. Mindfulness Meditation and Network Neuroscience: Review, Synthesis, and Future Directions.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2025
    Review
  11. Article
  12. Article
  13. Article
  14. Effects of packetization on communication dynamics in brain networks.Network neuroscience (Cambridge, Mass.) · 2024
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

6 authors.

Raphael T GerratyDepartment of Psychology, Columbia University, New York, New York 10027, rtg2116@columbia.edu ds2619@columbia.edu.ORCID 0000-0001-9782-1005
Juliet Y DavidowDepartment of Psychology, Harvard University, Cambridge, Massachusetts 02138.ORCID 0000-0002-6857-3855
Karin FoerdeDepartment of Psychology, New York University, New York, New York 10003.
Adriana GalvanDepartment of Psychology, UCLA, Los Angeles, California 90095.
Danielle S BassettDepartment of Bioengineering, University of Pennsylvania, Philadelphia, PA 19104.ORCID 0000-0002-6183-4493
Daphna ShohamyDepartment of Psychology, Columbia University, New York, New York 10027, rtg2116@columbia.edu ds2619@columbia.edu.

Funding

Vulnerability to Drug Use & HIV: Advancing Prevention for Rural African AmericansP30DA027827 · NIDA · UNIVERSITY OF GEORGIA · PI BRODY, GENE H. · 2009 to 2018
$10.2M
Linguistic and NonLinguistic Functions of Frontal CortexR01DC009209 · NIDCD · UNIVERSITY OF PENNSYLVANIA · PI THOMPSONSCHILL, SHARON L · 2008 to 2018
$5.2M
CRCNS: Computational and neural mechanisms of memory-guided decisionsR01DA038891 · NIDA · PRINCETON UNIVERSITY · PI DAW, NATHANIEL DOUGLASS, SHOHAMY, DAPHNA · 2014 to 2018
$1.7M
CRCNS: US-France Modeling & Predicting BCI Learning from Dynamic NetworksR01HD086888 · NICHD · UNIVERSITY OF PENNSYLVANIA · PI BASSETT, DANIELLE SMITH · 2015 to 2018
$506k
Network dynamics in learning and memory in humansF31MH109247 · NIMH · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI GERRATY, RAPHAEL THOMAS · 2016 to 2017
$88k
NICHD NIH HHS R01 HD086888NIDA NIH HHS P30 DA027827NIDA NIH HHS R01 DA038891NIDCD NIH HHS R01 DC009209NIMH NIH HHS F31 MH109247
6 · The paper itself

Abstract

Complex learned behaviors must involve the integrated action of distributed brain circuits. Although the contributions of individual regions to learning have been extensively investigated, much less is known about how distributed brain networks orchestrate their activity over the course of learning. To address this gap, we used fMRI combined with tools from dynamic network neuroscience to obtain time-resolved descriptions of network coordination during reinforcement learning in humans. We found that learning to associate visual cues with reward involves dynamic changes in network coupling between the striatum and distributed brain regions, including visual, orbitofrontal, and ventromedial prefrontal cortex (

Indexed as

LearningReinforcement, PsychologyAdultAlgorithmsBrain MappingCorpus StriatumFemaleHumansIndividualityMagnetic Resonance ImagingMaleMental ProcessesNeural PathwaysPrefrontal CortexPsychomotor PerformanceYoung Adultdynamic networksfunctional connectivitylearning and memoryreinforcement learningstriatum

Identifiers

PMID29431652
PMCPMC5858591

What OpenQuestion holds

Textmetadata
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.