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Different patterns of foreground and background processing contribute to texture segregation in humans: an electrophysiological study
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....
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
PeerJ Inc.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10552746/ https://www.ncbi.nlm.nih.gov/pubmed/37810782 http://dx.doi.org/10.7717/peerj.16139 |
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author | Zhang, Baoqiang Hu, Saisai Zhang, Tingkang Hai, Min Wang, Yongchun Li, Ya Wang, Yonghui |
author_facet | Zhang, Baoqiang Hu, Saisai Zhang, Tingkang Hai, Min Wang, Yongchun Li, Ya Wang, Yonghui |
author_sort | Zhang, Baoqiang |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-10552746 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | PeerJ Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-105527462023-10-06 Different patterns of foreground and background processing contribute to texture segregation in humans: an electrophysiological study Zhang, Baoqiang Hu, Saisai Zhang, Tingkang Hai, Min Wang, Yongchun Li, Ya Wang, Yonghui PeerJ Neuroscience 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. PeerJ Inc. 2023-10-02 /pmc/articles/PMC10552746/ /pubmed/37810782 http://dx.doi.org/10.7717/peerj.16139 Text en © 2023 Zhang et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited. |
spellingShingle | Neuroscience Zhang, Baoqiang Hu, Saisai Zhang, Tingkang Hai, Min Wang, Yongchun Li, Ya Wang, Yonghui Different patterns of foreground and background processing contribute to texture segregation in humans: an electrophysiological study |
title | Different patterns of foreground and background processing contribute to texture segregation in humans: an electrophysiological study |
title_full | Different patterns of foreground and background processing contribute to texture segregation in humans: an electrophysiological study |
title_fullStr | Different patterns of foreground and background processing contribute to texture segregation in humans: an electrophysiological study |
title_full_unstemmed | Different patterns of foreground and background processing contribute to texture segregation in humans: an electrophysiological study |
title_short | Different patterns of foreground and background processing contribute to texture segregation in humans: an electrophysiological study |
title_sort | different patterns of foreground and background processing contribute to texture segregation in humans: an electrophysiological study |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10552746/ https://www.ncbi.nlm.nih.gov/pubmed/37810782 http://dx.doi.org/10.7717/peerj.16139 |
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