Evidence map›Paper›PMID 29393853›Full record

ArticleeLife2018

Integrative and distinctive coding of visual and conceptual object features in the ventral visual stream.

Chris B Martin, Danielle Douglas, Rachel N Newsome, Louisa Ly Man, Morgan D Barense

Abstract read
In one paragraph

Article in eLife, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 79 papers.

0numbers the graph read from it
0cells of the map it votes in
79citing 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

79 citing papers in PubMed.

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  6. Decoding semantic sound categories in early visual cortex.Cerebral cortex (New York, N.Y. : 1991) · 2025
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  16. Brain-wide representation of social knowledge.Social cognitive and affective neuroscience · 2024
    Article
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  19. Representational formats of human memory traces.Brain structure & function · 2024
    Review
  20. Article

19 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Chris B MartinDepartment of Psychology, University of Toronto, Toronto, Canada.ORCID 0000-0002-7014-4371
Danielle DouglasDepartment of Psychology, Mount Allison University, Sackville, Canada.
Rachel N NewsomeRotman Research Institute, Baycrest, Toronto, Canada.
Louisa Ly ManDepartment of Psychology, Queen's University, Kingston, Canada.
Morgan D BarenseDepartment of Psychology, University of Toronto, Toronto, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A significant body of research in cognitive neuroscience is aimed at understanding how object concepts are represented in the human brain. However, it remains unknown whether and where the visual and abstract conceptual features that define an object concept are integrated. We addressed this issue by comparing the neural pattern similarities among object-evoked fMRI responses with behavior-based models that independently captured the visual and conceptual similarities among these stimuli. Our results revealed evidence for distinctive coding of visual features in lateral occipital cortex, and conceptual features in the temporal pole and parahippocampal cortex. By contrast, we found evidence for integrative coding of visual and conceptual object features in perirhinal cortex. The neuroanatomical specificity of this effect was highlighted by results from a searchlight analysis. Taken together, our findings suggest that perirhinal cortex uniquely supports the representation of fully specified object concepts through the integration of their visual and conceptual features.

Indexed as

CognitionNerve NetVisual PerceptionAdolescentAdultBrain MappingFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedOccipital LobePerirhinal CortexTemporal LobeYoung AdultfMRIhumanintegrationneuroscienceperirhinal cortexsemantic memoryventral visual streamvisual cognition

Identifiers

PMID29393853
PMCPMC5832413

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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.