Evidence map›Paper›PMID 39974987›Full record

ArticlebioRxiv : the preprint server for biology2025

Cognitive maps for hierarchical spaces in the human brain.

Michael Peer, Russell A Epstein

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Michael PeerDepartment of Psychology, University of Pennsylvania, Philadelphia PA, 19104, USA.ORCID 0000-0002-8373-8558
Russell A EpsteinDepartment of Psychology, University of Pennsylvania, Philadelphia PA, 19104, USA.

Funding

Scientific TransparencyP30EY001583 · NEI · UNIVERSITY OF PENNSYLVANIA · PI CLAIRE H MITCHELL · 1985 to 2026
$19.5M
Neural Mechanisms of Landmark-based NavigationR01EY022350 · NEI · UNIVERSITY OF PENNSYLVANIA · PI RUSSELL A EPSTEIN · 2013 to 2026
$5.7M
Spatial and nonspatial knowledgeR01EY031286 · NEI · UNIVERSITY OF PENNSYLVANIA · PI EPSTEIN, RUSSELL A · 2021 to 2025
$2.6M
NEI NIH HHS P30 EY001583NEI NIH HHS R01 EY022350NEI NIH HHS R01 EY031286
6 · The paper itself

Abstract

Many of the environments that we navigate through every day are hierarchically organized-they consist of spaces nested within other spaces. How do our mind/brains represent such environments? To address this question, we familiarized participants with a virtual environment consisting of a building within a courtyard, with objects distributed throughout the courtyard and building interior. We then scanned them with fMRI while they performed a memory task that required them to think about spatial relationships within and across the subspaces. Behavioral responses were less accurate and response times were longer on trials requiring integration across the subspaces compared to trials not requiring integration. fMRI response differences between integration and non-integration trials were observed in scene-responsive and medial temporal lobe brain regions, which were correlated the behavioral integration effects in retrosplenial complex, occipital place area, and hippocampus. Multivoxel pattern analyses provided additional evidence for representations in these brain regions that reflected the hierarchical organization of the environment. These results indicate that people form cognitive maps of nested spaces by dividing them into subspaces and using an active cognitive process to integrate the subspaces. Similar mechanisms might be used to support hierarchical coding in memory more broadly.

Indexed as

fMRIhippocampusoccipital place arearetrosplenial complexspatial integrationspatial memoryvirtual reality

Identifiers

PMID39974987
PMCPMC11838598

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.