Evidence map›Paper›PMID 35579986›Full record

ArticleJournal of cognitive neuroscience2022

Representations of Temporal Community Structure in Hippocampus and Precuneus Predict Inductive Reasoning Decisions.

Athula Pudhiyidath, Neal W Morton, Rodrigo Viveros Duran, Anna C Schapiro, Ida Momennejad, Demitrius M Hinojosa-Rowland, Robert J Molitor, Alison R Preston

Abstract read
In one paragraph

Article in Journal of cognitive neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Medial temporal lobe encodes cognitive maps of real-world social networks.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  7. Multistep inference across the human lifespan can be improved with individualized memory interventions.The journals of gerontology. Series B, Psychological sciences and social sciences · 2026
    Article
  8. Article
  9. Article
  10. Trial-by-trial learning of successor representations in human behavior.bioRxiv : the preprint server for biology · 2025
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Neural Activity Differentiates Novel and Learned Event Boundaries.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024
    Article
  17. Article
  18. Article
  19. Abstract cognitive maps of social network structure aid adaptive inference.Proceedings of the National Academy of Sciences of the United States of America · 2023
    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

8 authors.

Athula PudhiyidathThe University of Texas at Austin.ORCID 0000-0002-4593-3387
Neal W MortonThe University of Texas at Austin.ORCID 0000-0002-2631-2710
Rodrigo Viveros DuranThe University of Texas at Austin.ORCID 0000-0003-3567-0760
Anna C SchapiroUniversity of Pennsylvania, Philadelphia.ORCID 0000-0001-8086-0331
Ida MomennejadMicrosoft Research New York, NY.ORCID 0000-0003-0830-3973
Demitrius M Hinojosa-RowlandThe University of Texas at Austin.
Robert J MolitorThe University of Texas at Austin.ORCID 0000-0001-7129-4438
Alison R PrestonThe University of Texas at Austin.ORCID 0000-0003-2706-6862

Funding

Hippocampal and prefrontal contributions to memory integrationR01MH100121 · NIMH · UNIVERSITY OF TEXAS AT AUSTIN · PI Alison R Preston · 2013 to 2026
$7.3M
A neurocognitive framework for understanding how experience shapes object representationsF32MH114869 · NIMH · UNIVERSITY OF TEXAS AT AUSTIN · PI MORTON, NEAL W · 2017 to 2019
$184k
NIMH NIH HHS 5R01MH100121NIMH NIH HHS F32 MH114869NIMH NIH HHS R01 MH100121
6 · The paper itself

Abstract

Our understanding of the world is shaped by inferences about underlying structure. For example, at the gym, you might notice that the same people tend to arrive around the same time and infer that they are friends that work out together. Consistent with this idea, after participants are presented with a temporal sequence of objects that follows an underlying community structure, they are biased to infer that objects from the same community share the same properties. Here, we used fMRI to measure neural representations of objects after temporal community structure learning and examine how these representations support inference about object relationships. We found that community structure learning affected inferred object similarity: When asked to spatially group items based on their experience, participants tended to group together objects from the same community. Neural representations in perirhinal cortex predicted individual differences in object grouping, suggesting that high-level object representations are affected by temporal community learning. Furthermore, participants were biased to infer that objects from the same community would share the same properties. Using computational modeling of temporal learning and inference decisions, we found that inductive reasoning is influenced by both detailed knowledge of temporal statistics and abstract knowledge of the temporal communities. The fidelity of temporal community representations in hippocampus and precuneus predicted the degree to which temporal community membership biased reasoning decisions. Our results suggest that temporal knowledge is represented at multiple levels of abstraction, and that perirhinal cortex, hippocampus, and precuneus may support inference based on this knowledge.

Indexed as

Brain MappingPerirhinal CortexHippocampusHumansMagnetic Resonance ImagingParietal LobePattern Recognition, Visual

Identifiers

PMID35579986
PMCPMC10262802

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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.