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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Autores principales: Yangsong Zhang, Peng Xu, Yingling Huang, Kaiwen Cheng, Dezhong Yao
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Lenguaje:EN
Publicado: Public Library of Science (PLoS) 2013
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Acceso en línea:https://doaj.org/article/342c438d6960404a9db66e64529b90ad
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spelling oai:doaj.org-article:342c438d6960404a9db66e64529b90ad2021-11-18T08:56:24ZSSVEP response is related to functional brain network topology entrained by the flickering stimulus.1932-620310.1371/journal.pone.0072654https://doaj.org/article/342c438d6960404a9db66e64529b90ad2013-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/24039789/?tool=EBIhttps://doaj.org/toc/1932-6203Previous 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.Yangsong ZhangPeng XuYingling HuangKaiwen ChengDezhong YaoPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 8, Iss 9, p e72654 (2013)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Yangsong Zhang
Peng Xu
Yingling Huang
Kaiwen Cheng
Dezhong Yao
SSVEP response is related to functional brain network topology entrained by the flickering stimulus.
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.
format article
author Yangsong Zhang
Peng Xu
Yingling Huang
Kaiwen Cheng
Dezhong Yao
author_facet Yangsong Zhang
Peng Xu
Yingling Huang
Kaiwen Cheng
Dezhong Yao
author_sort Yangsong Zhang
title 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_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_sort ssvep response is related to functional brain network topology entrained by the flickering stimulus.
publisher Public Library of Science (PLoS)
publishDate 2013
url https://doaj.org/article/342c438d6960404a9db66e64529b90ad
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AT yinglinghuang ssvepresponseisrelatedtofunctionalbrainnetworktopologyentrainedbytheflickeringstimulus
AT kaiwencheng ssvepresponseisrelatedtofunctionalbrainnetworktopologyentrainedbytheflickeringstimulus
AT dezhongyao ssvepresponseisrelatedtofunctionalbrainnetworktopologyentrainedbytheflickeringstimulus
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