Evidence map›Paper›PMID 42277366›Full record

ArticleAttention, perception & psychophysics2026

Robust representation of the spatial arrangement of topological features.

Sami R Yousif, Yijin Hu, Elizabeth M Brannon

Abstract read
In one paragraph

Article in Attention, perception & psychophysics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

3 authors.

Sami R YousifDepartment of Psychology, Ohio State University, Columbus, OH, USA. yousif.36@osu.edu.
Yijin HuDepartment of Psychology, University of Pennsylvania, Philadelphia, PA, USA.
Elizabeth M BrannonDepartment of Psychology, University of Pennsylvania, Philadelphia, PA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent work has shown that people are sensitive to coarse differences in network topology, including network features like "holes," "crosses," and "T-junctions." Even children as young as 4 years old will readily distinguish between items that differ slightly in their network topology. But how robust is this sensitivity? Here, we evaluate whether people are not only sensitive to differences in the presence or absence of certain topological features, but also to their exact spatial arrangement. In a first experiment, we show that people distinguish figures which possess all the same topological features as other figures in a set if the features differ in spatial arrangement. In a second experiment, we show that people also match figures based on exact spatial arrangement. Finally, we show that memory encodes the correct relational structure of the figures: People are more likely to falsely indicate having seen an item if it shared the precise arrangement of topological features of other items they had seen (compared to a closely matched item which had the same features arranged in a different way). Combined, these results bolster the theory that people intuitively appreciate the precise spatial arrangement of topological features.

Indexed as

AttentionDiscrimination, PsychologicalPattern Recognition, VisualSpace PerceptionFemaleHumansMalePerceptionRelationsTopology

Identifiers

PMID42277366
PMCPMC13260033

What OpenQuestion holds

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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.