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Brain functional network connectivity based on a visual task: visual information processing-related brain regions are significantly activated in the task state

It is not clear whether the method used in functional brain-network related research can be applied to explore the feature binding mechanism of visual perception. In this study, we investigated feature binding of color and shape in visual perception. Functional magnetic resonance imaging data were c...

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Autores principales: Yang, Yan-li, Deng, Hong-xia, Xing, Gui-yang, Xia, Xiao-luan, Li, Hai-fang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Medknow Publications & Media Pvt Ltd 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4392680/
https://www.ncbi.nlm.nih.gov/pubmed/25883631
http://dx.doi.org/10.4103/1673-5374.152386
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author Yang, Yan-li
Deng, Hong-xia
Xing, Gui-yang
Xia, Xiao-luan
Li, Hai-fang
author_facet Yang, Yan-li
Deng, Hong-xia
Xing, Gui-yang
Xia, Xiao-luan
Li, Hai-fang
author_sort Yang, Yan-li
collection PubMed
description It is not clear whether the method used in functional brain-network related research can be applied to explore the feature binding mechanism of visual perception. In this study, we investigated feature binding of color and shape in visual perception. Functional magnetic resonance imaging data were collected from 38 healthy volunteers at rest and while performing a visual perception task to construct brain networks active during resting and task states. Results showed that brain regions involved in visual information processing were obviously activated during the task. The components were partitioned using a greedy algorithm, indicating the visual network existed during the resting state. Z-values in the vision-related brain regions were calculated, confirming the dynamic balance of the brain network. Connectivity between brain regions was determined, and the result showed that occipital and lingual gyri were stable brain regions in the visual system network, the parietal lobe played a very important role in the binding process of color features and shape features, and the fusiform and inferior temporal gyri were crucial for processing color and shape information. Experimental findings indicate that understanding visual feature binding and cognitive processes will help establish computational models of vision, improve image recognition technology, and provide a new theoretical mechanism for feature binding in visual perception.
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spelling pubmed-43926802015-04-16 Brain functional network connectivity based on a visual task: visual information processing-related brain regions are significantly activated in the task state Yang, Yan-li Deng, Hong-xia Xing, Gui-yang Xia, Xiao-luan Li, Hai-fang Neural Regen Res Research Article It is not clear whether the method used in functional brain-network related research can be applied to explore the feature binding mechanism of visual perception. In this study, we investigated feature binding of color and shape in visual perception. Functional magnetic resonance imaging data were collected from 38 healthy volunteers at rest and while performing a visual perception task to construct brain networks active during resting and task states. Results showed that brain regions involved in visual information processing were obviously activated during the task. The components were partitioned using a greedy algorithm, indicating the visual network existed during the resting state. Z-values in the vision-related brain regions were calculated, confirming the dynamic balance of the brain network. Connectivity between brain regions was determined, and the result showed that occipital and lingual gyri were stable brain regions in the visual system network, the parietal lobe played a very important role in the binding process of color features and shape features, and the fusiform and inferior temporal gyri were crucial for processing color and shape information. Experimental findings indicate that understanding visual feature binding and cognitive processes will help establish computational models of vision, improve image recognition technology, and provide a new theoretical mechanism for feature binding in visual perception. Medknow Publications & Media Pvt Ltd 2015-02 /pmc/articles/PMC4392680/ /pubmed/25883631 http://dx.doi.org/10.4103/1673-5374.152386 Text en Copyright: © Neural Regeneration Research http://creativecommons.org/licenses/by-nc-sa/3.0 This is an open-access article distributed under the terms of the Creative Commons Attribution-Noncommercial-Share Alike 3.0 Unported, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Yang, Yan-li
Deng, Hong-xia
Xing, Gui-yang
Xia, Xiao-luan
Li, Hai-fang
Brain functional network connectivity based on a visual task: visual information processing-related brain regions are significantly activated in the task state
title Brain functional network connectivity based on a visual task: visual information processing-related brain regions are significantly activated in the task state
title_full Brain functional network connectivity based on a visual task: visual information processing-related brain regions are significantly activated in the task state
title_fullStr Brain functional network connectivity based on a visual task: visual information processing-related brain regions are significantly activated in the task state
title_full_unstemmed Brain functional network connectivity based on a visual task: visual information processing-related brain regions are significantly activated in the task state
title_short Brain functional network connectivity based on a visual task: visual information processing-related brain regions are significantly activated in the task state
title_sort brain functional network connectivity based on a visual task: visual information processing-related brain regions are significantly activated in the task state
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4392680/
https://www.ncbi.nlm.nih.gov/pubmed/25883631
http://dx.doi.org/10.4103/1673-5374.152386
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