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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Published inNeural regeneration research Vol. 10; no. 2; pp. 298 - 307
Main Authors Yang, Yan-Li, Deng, Hong-Xia, Xing, Gui-Yang, Xia, Xiao-Luan, Li, Hai-Fang
Format Journal Article
LanguageEnglish
Published India Medknow Publications and Media Pvt. Ltd 01.02.2015
Medknow Publications & Media Pvt. Ltd
Medknow Publications & Media Pvt Ltd
Wolters Kluwer Medknow Publications
Subjects
MRI
rat
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Summary: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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Author contributions: YLY designed the study and drafted the manuscript. HXD supervised the manuscript. GYX analyzed experiment data. LXX provided and integrated experimental data. HFL was responsible for the funds and instructing the study. All authors approved the final version of the paper.
ISSN:1673-5374
1876-7958
DOI:10.4103/1673-5374.152386