Evidence map›Paper›PMID 40866330›Full record

ArticleNature communications2025

Invariant inter-subject relational structures in high order human visual cortex.

Ofer Lipman, Shany Grossman, Doron Friedman, Yacov Hel-Or, Rafael Malach

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
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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

5 authors.

Ofer LipmanEfi Arazi School of Computer Science, Reichman University, Herzliya, Israel.
Shany GrossmanInstitute of Psychology, University of Hamburg, Hamburg, Germany.ORCID http://orcid.org/0000-0003-4774-2610
Doron FriedmanSammy Ofer School of Communications, Reichman University, Herzliya, Israel.
Yacov Hel-OrEfi Arazi School of Computer Science, Reichman University, Herzliya, Israel.
Rafael MalachDepartment of Brain Sciences, Weizmann Institute of Science, Rehovot, Israel. rafi.malach@gmail.com.ORCID http://orcid.org/0000-0002-2869-680X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

It is a fundamental of behavior that different individuals see the world in a largely similar manner. This is an essential basis for humans' ability to cooperate and communicate. However, what are the neural properties that underlie these inter-subject commonalities of our visual world? Finding out what aspects of neural coding remain invariant across individuals' brains will shed light not only on this fundamental question but will also point to the neural coding scheme at the basis of visual perception. Here, we address this question by obtaining intracranial recordings from three groups of patients taking part in a visual recognition task (overall 19 patients and 244 high-order visual contacts included in the analyses) and examining the neural coding scheme that was most consistent across individuals' visual cortex. Our results highlight relational coding - expressed by the set of similarity distances between profiles of pattern activations-as the most consistent representation across individuals. Alternative coding schemes, such as activation pattern coding or linear coding, failed to achieve similar inter-subject consistency. Our results thus support relational coding as the central neural code underlying individuals' shared perceptual content in the human brain.

Indexed as

Visual CortexVisual PerceptionAdultBrain MappingFemaleHumansMaleMiddle AgedPattern Recognition, VisualPhotic StimulationYoung Adult

Identifiers

PMID40866330
PMCPMC12391552

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Registered trials

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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.