Evidence map›Paper›PMID 31560175›Full record

ArticleBrain and behavior2019

The relative contributions of visual and semantic information in the neural representation of object categories.

Lindsay W Victoria, John A Pyles, Michael J Tarr

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Article in Brain and behavior, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

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5citing papers in PubMed, 1 pooled it
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1 · What the graph read from it

What it found

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Lindsay W VictoriaDepartment of Psychology, The Center for the Neural Basis of Cognition, Carnegie Mellon University, Pittsburgh, Pennsylvania.ORCID 0000-0003-3327-8677
John A PylesDepartment of Psychology, The Center for the Neural Basis of Cognition, Carnegie Mellon University, Pittsburgh, Pennsylvania.
Michael J TarrDepartment of Psychology, The Center for the Neural Basis of Cognition, Carnegie Mellon University, Pittsburgh, Pennsylvania.

Funding

Using Functional Physiology to Uncover the Fundamental Principles of Visual CorteR01MH084195 · NIMH · CARNEGIE-MELLON UNIVERSITY · PI TARR, MICHAEL J · 2008 to 2011
$1.3M
NIDA NIH HHS R90 DA022761NIMH NIH HHS R01 MH084195
6 · The paper itself

Abstract

introductionHow do multiple sources of information interact to form mental representations of object categories? It is commonly held that object categories reflect the integration of perceptual features and semantic/knowledge-based features. To explore the relative contributions of these two sources of information, we used functional magnetic resonance imaging (fMRI) to identify regions involved in the representation object categories with shared visual and/or semantic features.

methodsParticipants (N = 20) viewed a series of objects that varied in their degree of visual and semantic overlap in the MRI scanner. We used a blocked adaptation design to identify sensitivity to visual and semantic features in a priori visual processing regions and in a distributed network of object processing regions with an exploratory whole-brain analysis.

resultsSomewhat surprisingly, within higher-order visual processing regions-specifically lateral occipital cortex (LOC)-we did not obtain any difference in neural adaptation for shared visual versus semantic category membership. More broadly, both visual and semantic information affected a distributed network of independently identified category-selective regions. Adaptation was seen a whole-brain network of processing regions in response to visual similarity and semantic similarity; specifically, the angular gyrus (AnG) adapted to visual similarity and the dorsomedial prefrontal cortex (DMPFC) adapted to both visual and semantic similarity.

conclusionsOur findings suggest that perceptual features help organize mental categories throughout the object processing hierarchy. Most notably, visual similarity also influenced adaptation in nonvisual brain regions (i.e., AnG and DMPFC). We conclude that category-relevant visual features are maintained in higher-order conceptual representations and visual information plays an important role in both the acquisition and neural representation of conceptual object categories.

Indexed as

SemanticsAdolescentAdultBrainBrain MappingFemaleFunctional NeuroimagingHumansImage Processing, Computer-AssistedMagnetic Resonance ImagingMaleOccipital LobePattern Recognition, VisualPrefrontal CortexVisual PerceptionYoung Adultfunctional magnetic resonance imagingsemanticsvisual cortexvisual perception

Identifiers

PMID31560175
PMCPMC6790305

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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.