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SSVEP Response Is Related to Functional Brain Network Topology Entrained by the Flickering Stimulus

Previous studies have shown that the brain network topology correlates with the cognitive function. However, few studies have investigated the relationship between functional brain networks that process sensory inputs and outputs. In this study, we focus on steady-state paradigms using a periodic vi...

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Detalles Bibliográficos
Autores principales: Zhang, Yangsong, Xu, Peng, Huang, Yingling, Cheng, Kaiwen, Yao, Dezhong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3767745/
https://www.ncbi.nlm.nih.gov/pubmed/24039789
http://dx.doi.org/10.1371/journal.pone.0072654
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author Zhang, Yangsong
Xu, Peng
Huang, Yingling
Cheng, Kaiwen
Yao, Dezhong
author_facet Zhang, Yangsong
Xu, Peng
Huang, Yingling
Cheng, Kaiwen
Yao, Dezhong
author_sort Zhang, Yangsong
collection PubMed
description Previous studies have shown that the brain network topology correlates with the cognitive function. However, few studies have investigated the relationship between functional brain networks that process sensory inputs and outputs. In this study, we focus on steady-state paradigms using a periodic visual stimulus, which are increasingly being used in both brain-computer interface (BCI) and cognitive neuroscience researches. Using the graph theoretical analysis, we investigated the relationship between the topology of functional networks entrained by periodic stimuli and steady state visually evoked potentials (SSVEP) using two frequencies and eleven subjects. First, the entire functional network (Network 0) of each frequency for each subject was constructed according to the coherence between electrode pairs. Next, Network 0 was divided into three sub-networks, in which the connection strengths were either significantly (positively for Network 1, negatively for Network 3) or non-significantly (Network 2) correlated with the SSVEP responses. Our results revealed that the SSVEP responses were positively correlated to the mean functional connectivity, clustering coefficient, and global and local efficiencies, while these responses were negatively correlated with the characteristic path length of Networks 0, 1 and 2. Furthermore, the strengths of these connections that significantly correlated with the SSVEP (both positively and negatively) were mainly found to be long-range connections between the parietal-occipital and frontal regions. These results indicate that larger SSVEP responses correspond with better functional network topology structures. This study may provide new insights for understanding brain mechanisms when using SSVEPs as frequency tags.
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spelling pubmed-37677452013-09-13 SSVEP Response Is Related to Functional Brain Network Topology Entrained by the Flickering Stimulus Zhang, Yangsong Xu, Peng Huang, Yingling Cheng, Kaiwen Yao, Dezhong PLoS One Research Article Previous studies have shown that the brain network topology correlates with the cognitive function. However, few studies have investigated the relationship between functional brain networks that process sensory inputs and outputs. In this study, we focus on steady-state paradigms using a periodic visual stimulus, which are increasingly being used in both brain-computer interface (BCI) and cognitive neuroscience researches. Using the graph theoretical analysis, we investigated the relationship between the topology of functional networks entrained by periodic stimuli and steady state visually evoked potentials (SSVEP) using two frequencies and eleven subjects. First, the entire functional network (Network 0) of each frequency for each subject was constructed according to the coherence between electrode pairs. Next, Network 0 was divided into three sub-networks, in which the connection strengths were either significantly (positively for Network 1, negatively for Network 3) or non-significantly (Network 2) correlated with the SSVEP responses. Our results revealed that the SSVEP responses were positively correlated to the mean functional connectivity, clustering coefficient, and global and local efficiencies, while these responses were negatively correlated with the characteristic path length of Networks 0, 1 and 2. Furthermore, the strengths of these connections that significantly correlated with the SSVEP (both positively and negatively) were mainly found to be long-range connections between the parietal-occipital and frontal regions. These results indicate that larger SSVEP responses correspond with better functional network topology structures. This study may provide new insights for understanding brain mechanisms when using SSVEPs as frequency tags. Public Library of Science 2013-09-09 /pmc/articles/PMC3767745/ /pubmed/24039789 http://dx.doi.org/10.1371/journal.pone.0072654 Text en © 2013 Zhang et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Zhang, Yangsong
Xu, Peng
Huang, Yingling
Cheng, Kaiwen
Yao, Dezhong
SSVEP Response Is Related to Functional Brain Network Topology Entrained by the Flickering Stimulus
title SSVEP Response Is Related to Functional Brain Network Topology Entrained by the Flickering Stimulus
title_full SSVEP Response Is Related to Functional Brain Network Topology Entrained by the Flickering Stimulus
title_fullStr SSVEP Response Is Related to Functional Brain Network Topology Entrained by the Flickering Stimulus
title_full_unstemmed SSVEP Response Is Related to Functional Brain Network Topology Entrained by the Flickering Stimulus
title_short SSVEP Response Is Related to Functional Brain Network Topology Entrained by the Flickering Stimulus
title_sort ssvep response is related to functional brain network topology entrained by the flickering stimulus
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3767745/
https://www.ncbi.nlm.nih.gov/pubmed/24039789
http://dx.doi.org/10.1371/journal.pone.0072654
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