Evidence map›Paper›PMID 38124013›Full record

ArticleThe Journal of neuroscience : the official journal of the Society for Neuroscience2024

Category-Selective Representation of Relationships in the Visual Cortex.

Etienne Abassi, Liuba Papeo

Open access · greenAbstract read
In one paragraph

Article in The Journal of neuroscience : the official journal of the Society for Neuroscience, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.6field-weighted citation impact, top 10% 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

8 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Multidimensional Feature Tuning in Category Selective Areas of Human Visual Cortex.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026
    Article
  3. Article
  4. The Processing Stages for Social Interaction Recognition.Open mind : discoveries in cognitive science · 2026
    Article
  5. Article
  6. Review
  7. Neural Encoding of Bodies for Primate Social Perception.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024
    Review
  8. 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

2 authors at 1 institution in 2 countries.

Etienne AbassiInstitut des Sciences Cognitives-Marc Jeannerod, UMR5229, Centre National de la Recherche Scientifique (CNRS), Université Claude Bernard Lyon 1, Bron 69675, France etienne.abassi@gmail.com liuba.papeo@isc.cnrs.fr.ORCID 0000-0003-4235-0001
Liuba PapeoInstitut des Sciences Cognitives-Marc Jeannerod, UMR5229, Centre National de la Recherche Scientifique (CNRS), Université Claude Bernard Lyon 1, Bron 69675, France etienne.abassi@gmail.com liuba.papeo@isc.cnrs.fr.ORCID 0000-0003-3056-8679
Université Claude Bernard Lyon 1 · FR

Funding

European Research Council
6 · The paper itself

Abstract

Understanding social interaction requires processing social agents and their relationships. The latest results show that much of this process is visually solved: visual areas can represent multiple people encoding emergent information about their interaction that is not explained by the response to the individuals alone. A neural signature of this process is an increased response in visual areas, to face-to-face (seemingly interacting) people, relative to people presented as unrelated (back-to-back). This effect highlighted a network of visual areas for representing relational information.

Indexed as

Visual CortexBrain MappingFemaleHuman BodyHumansMagnetic Resonance ImagingMalePattern Recognition, VisualPhotic StimulationVisual PerceptionfMRIrelational informationsocial brainsocial interactionsocial perceptionvisual perception

Identifiers

PMID38124013
PMCPMC10860595
OpenAlexW4389475110

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.