Evidence map›Paper›PMID 31911628›Full record

ArticleNature communications2020

Ventromedial prefrontal cortex compression during concept learning.

Michael L Mack, Alison R Preston, Bradley C Love

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 80 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
80citing papers in PubMed, 1 pooled it
11.1field-weighted citation impact, top 1% 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

80 citing papers in PubMed, 1 synthesis or guideline pooled it, 164 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Categorization is 'baked' into the brain.Nature reviews. Neuroscience · 2026
    Review
  6. Review
  7. Article
  8. Distinct Hippocampal Mechanisms Support Concept Formation and Updating.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Cognitive Maps in the Prefrontal Cortex.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
    Review
  18. A compressed code for memory discrimination.bioRxiv : the preprint server for biology · 2025
    Article
  19. Article
  20. Article

20 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

3 authors at 3 institutions in 3 countries.

Michael L MackDepartment of Psychology, University of Toronto, Toronto, ON, Canada. mack.michael@gmail.com.ORCID http://orcid.org/0000-0001-5155-7413
Alison R PrestonDepartment of Psychology, The University of Texas at Austin, Austin, TX, USA.ORCID http://orcid.org/0000-0003-2706-6862
Bradley C LoveExperimental Psychology, University College London, London, UK.ORCID http://orcid.org/0000-0002-7883-7076
St. Michael's Hospital · CAThe Alan Turing Institute · GBThe University of Texas at Austin · US

Funding

Hippocampal and prefrontal contributions to memory integrationR01MH100121 · NIMH · UNIVERSITY OF TEXAS AT AUSTIN · PI Alison R Preston · 2013 to 2026
$7.3M
ONTOGENESIS OF CATEGORIZATION: LINKING DEVELOPMENT, MECHANISMS, AND BIOLOGYP01HD080679 · NICHD · OHIO STATE UNIVERSITY · PI LOVE, BRADLEY C · 2016 to 2020
$5.8M
The mutual influence of attention and learning during knowledge acquisitionF32MH100904 · NIMH · UNIVERSITY OF TEXAS AT AUSTIN · PI MACK, MICHAEL L. · 2013 to 2015
$165k
NICHD NIH HHS P01 HD080679NIMH NIH HHS F32 MH100904NIMH NIH HHS R01 MH100121Wellcome Trust
6 · The paper itself

Abstract

Prefrontal cortex (PFC) is thought to support the ability to focus on goal-relevant information by filtering out irrelevant information, a process akin to dimensionality reduction. Here, we test this dimensionality reduction hypothesis by relating a data-driven approach to characterizing the complexity of neural representation with a theoretically-supported computational model of learning. We find evidence of goal-directed dimensionality reduction within human ventromedial PFC during learning. Importantly, by using computational predictions of each participant's attentional strategies during learning, we find that that the degree of neural compression predicts an individual's ability to selectively attend to concept-specific information. These findings suggest a domain-general mechanism of learning through compression in ventromedial PFC.

Indexed as

LearningAdolescentAdultFemaleGoalsHumansMagnetic Resonance ImagingMalePrefrontal CortexYoung Adult

Identifiers

PMID31911628
PMCPMC6946809
OpenAlexW3000728369

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.