Evidence map›Paper›PMID 36977625›Full record

ArticleCerebral cortex (New York, N.Y. : 1991)2023

Generalization of cognitive maps across space and time.

Katherine R Sherrill, Robert J Molitor, Ata B Karagoz, Manasa Atyam, Michael L Mack, Alison R Preston

Open access · greenAbstract read
In one paragraph

Article in Cerebral cortex (New York, N.Y. : 1991), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.8field-weighted citation impact, top 16% 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

5 citing papers in PubMed, 10 citations in OpenAlex.

  1. The hippocampus rapidly integrates sequence representations during novel multistep predictions.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2026
    Article
  2. Considerations for conducting developmental neuroimaging research on mental health topics.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026
    Review
  3. Article
  4. Article
  5. 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 at 2 institutions in 2 countries.

Katherine R SherrillCenter for Learning and Memory, University of Texas at Austin, Austin, TX 78712, USA.
Robert J MolitorCenter for Learning and Memory, University of Texas at Austin, Austin, TX 78712, USA.
Ata B KaragozCenter for Learning and Memory, University of Texas at Austin, Austin, TX 78712, USA.
Manasa AtyamCenter for Learning and Memory, University of Texas at Austin, Austin, TX 78712, USA.
Michael L MackDepartment of Psychology, University of Toronto, Toronto, ON M5G 1E6, Canada.
Alison R PrestonCenter for Learning and Memory, University of Texas at Austin, Austin, TX 78712, USA.
The University of Texas at Austin · USUniversity of Toronto · CA

Funding

Hippocampal and prefrontal contributions to memory integrationR01MH100121 · NIMH · UNIVERSITY OF TEXAS AT AUSTIN · PI Alison R Preston · 2013 to 2026
$7.3M
Modulation of hippocampal cognitive maps by dopaminergic midbrain and prefrontal cortexF32NS098808 · NINDS · UNIVERSITY OF TEXAS AT AUSTIN · PI SHERRILL, KATHERINE ROSE MCKNIGHT · 2017 to 2019
$177k
NIMH NIH HHS R01 MH100121NINDS NIH HHS F32 NS098808
6 · The paper itself

Abstract

Prominent theories posit that associative memory structures, known as cognitive maps, support flexible generalization of knowledge across cognitive domains. Here, we evince a representational account of cognitive map flexibility by quantifying how spatial knowledge formed one day was used predictively in a temporal sequence task 24 hours later, biasing both behavior and neural response. Participants learned novel object locations in distinct virtual environments. After learning, hippocampus and ventromedial prefrontal cortex (vmPFC) represented a cognitive map, wherein neural patterns became more similar for same-environment objects and more discriminable for different-environment objects. Twenty-four hours later, participants rated their preference for objects from spatial learning; objects were presented in sequential triplets from either the same or different environments. We found that preference response times were slower when participants transitioned between same- and different-environment triplets. Furthermore, hippocampal spatial map coherence tracked behavioral slowing at the implicit sequence transitions. At transitions, predictive reinstatement of virtual environments decreased in anterior parahippocampal cortex. In the absence of such predictive reinstatement after sequence transitions, hippocampus and vmPFC responses increased, accompanied by hippocampal-vmPFC functional decoupling that predicted individuals' behavioral slowing after a transition. Collectively, these findings reveal how expectations derived from spatial experience generalize to support temporal prediction.

Indexed as

HippocampusLearningCerebral CortexCognitionHumansMagnetic Resonance ImagingPrefrontal Cortexevent segmentationhippocampusparahippocampal cortexuncertaintyventromedial prefrontal cortex

Identifiers

PMID36977625
PMCPMC10492577
OpenAlexW4361302108

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.