Evidence map›Paper›PMID 37810782›Full record

ArticlePeerJ2023

Different patterns of foreground and background processing contribute to texture segregation in humans: an electrophysiological study.

Baoqiang Zhang, Saisai Hu, Tingkang Zhang, Min Hai, Yongchun Wang, Ya Li, Yonghui Wang

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Article in PeerJ, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

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7 authors.

Baoqiang ZhangSchool of Psychology, Shaanxi Normal University, Xi'an, China.
Saisai HuSchool of Psychology, Shaanxi Normal University, Xi'an, China.
Tingkang ZhangSchool of Psychology, Shaanxi Normal University, Xi'an, China.
Min HaiSchool of Psychology, Shaanxi Normal University, Xi'an, China.
Yongchun WangSchool of Psychology, Shaanxi Normal University, Xi'an, China.
Ya LiSchool of Psychology, Shaanxi Normal University, Xi'an, China.
Yonghui WangSchool of Psychology, Shaanxi Normal University, Xi'an, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Figure-ground segregation is a necessary process for accurate visual recognition. Previous neurophysiological and human brain imaging studies have suggested that foreground-background segregation relies on both enhanced foreground representation and suppressed background representation. However, in humans, it is not known when and how foreground and background processing play a role in texture segregation. Methods: To answer this question, it is crucial to extract and dissociate the neural signals elicited by the foreground and background of a figure texture with high temporal resolution. Here, we combined an electroencephalogram (EEG) recording and a temporal response function (TRF) approach to specifically track the neural responses to the foreground and background of a figure texture from the overall EEG recordings in the luminance-tracking TRF. A uniform texture was included as a neutral condition. The texture segregation visual evoked potential (tsVEP) was calculated by subtracting the uniform TRF from the foreground and background TRFs, respectively, to index the specific segregation activity. Results: We found that the foreground and background of a figure texture were processed differently during texture segregation. In the posterior region of the brain, we found a negative component for the foreground tsVEP in the early stage of foreground-background segregation, and two negative components for the background tsVEP in the early and late stages. In the anterior region, we found a positive component for the foreground tsVEP in the late stage, and two positive components for the background tsVEP in the early and late stages of texture processing. Discussion: In this study we investigated the temporal profile of foreground and background processing during texture segregation in human participants at a high time resolution. The results demonstrated that the foreground and background jointly contribute to figure-ground segregation in both the early and late phases of texture processing. Our findings provide novel evidence for the neural correlates of foreground-background modulation during figure-ground segregation in humans.

Indexed as

Evoked Potentials, VisualPattern Recognition, VisualBrainElectroencephalographyHumansVision, OcularElectroencephalogram (EEG)Figure-ground organizationTemporal response function (TRF)Texture segregation

Identifiers

PMID37810782
PMCPMC10552746

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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.