Evidence map›Paper›PMID 29024670›Full record

SynthesisNeuron2017

A Meta-Analysis Suggests Different Neural Correlates for Implicit and Explicit Learning.

Roman F Loonis, Scott L Brincat, Evan G Antzoulatos, Earl K Miller

Abstract readMeta-Analysis
In one paragraph

Synthesis in Neuron, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Trial
  2. Article
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  4. Article
  5. An evolutionarily conserved cation channel tunes the sensitivity of gustatory neurons to ephaptic inhibition inProceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  6. Article
  7. Review
  8. Article
  9. Theta Signal Transfer from Parietal to Prefrontal Cortex Ignites Conscious Awareness of Implicit Knowledge during Sequence Learning.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2023
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Domain-Specific Working Memory, But Not Dopamine-Related Genetic Variability, Shapes Reward-Based Motor Learning.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2019
    Article
  17. Article
  18. 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

4 authors.

Roman F LoonisThe Picower Institute for Learning and Memory, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA; Department of Anatomy and Neurobiology, Boston University, Boston MA, 02118, USA.
Scott L BrincatThe Picower Institute for Learning and Memory, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
Evan G AntzoulatosThe Picower Institute for Learning and Memory, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA; Center for Neuroscience, Department of Neurobiology, Physiology and Behavior, University of California Davis, Davis, CA 95616, USA.
Earl K MillerThe Picower Institute for Learning and Memory, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA. Electronic address: ekmiller@mit.edu.

Funding

Neural Basis of CategoriesR01MH065252 · NIMH · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI MILLER, EARL K · 2002 to 2016
$5.7M
Cortical Circuits for Attention and DecisionsR37MH087027 · NIMH · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI MILLER, EARL K · 2010 to 2019
$4.7M
NIMH NIH HHS R01 MH065252NIMH NIH HHS R37 MH087027
6 · The paper itself

Abstract

A meta-analysis of non-human primates performing three different tasks (Object-Match, Category-Match, and Category-Saccade associations) revealed signatures of explicit and implicit learning. Performance improved equally following correct and error trials in the Match (explicit) tasks, but it improved more after correct trials in the Saccade (implicit) task, a signature of explicit versus implicit learning. Likewise, error-related negativity, a marker for error processing, was greater in the Match (explicit) tasks. All tasks showed an increase in alpha/beta (10-30 Hz) synchrony after correct choices. However, only the implicit task showed an increase in theta (3-7 Hz) synchrony after correct choices that decreased with learning. In contrast, in the explicit tasks, alpha/beta synchrony increased with learning and decreased thereafter. Our results suggest that explicit versus implicit learning engages different neural mechanisms that rely on different patterns of oscillatory synchrony.

Indexed as

AnimalsBrainBrain WavesLearningMacaca mulattaPsychomotor PerformanceReaction Timeexplicitimplicitprefrontal cortexreward learningsynchrony

Identifiers

PMID29024670
PMCPMC5662212

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.