Periodic Visual Stimulation Induces Resting-State Brain Network Reconfiguration

Periodic visual stimulation can evoke the steady-state visual potential (SSVEP) in the brain. Owing to its superior characteristics, the SSVEP has been widely used in neural engineering and cognitive neuroscience studies. However, the underlying mechanisms of the SSVEP are not well understood. In th...

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Main Authors: Daqing Guo, Fengru Guo, Yangsong Zhang, Fali Li, Yang Xia, Peng Xu, Dezhong Yao
Format: Article
Language:English
Published: Frontiers Media S.A. 2018-03-01
Series:Frontiers in Computational Neuroscience
Subjects:
Online Access:http://journal.frontiersin.org/article/10.3389/fncom.2018.00021/full
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author Daqing Guo
Fengru Guo
Yangsong Zhang
Yangsong Zhang
Fali Li
Yang Xia
Peng Xu
Dezhong Yao
author_facet Daqing Guo
Fengru Guo
Yangsong Zhang
Yangsong Zhang
Fali Li
Yang Xia
Peng Xu
Dezhong Yao
author_sort Daqing Guo
collection DOAJ
description Periodic visual stimulation can evoke the steady-state visual potential (SSVEP) in the brain. Owing to its superior characteristics, the SSVEP has been widely used in neural engineering and cognitive neuroscience studies. However, the underlying mechanisms of the SSVEP are not well understood. In this study, we introduced a brain reconfiguration methodology to explore the possible mechanisms of the SSVEP. The EEG data from five periodic stimuli consistently indicated that the periodic visual stimulation could induce resting-state brain network reconfiguration and that the responses evoked by the stimuli were correlated to the network reconfiguration indexes. For each stimulus frequency, larger response amplitudes corresponded to higher reconfiguration indexes from the resting-state network to a stimulus-evoked network. These findings demonstrate that an external periodic visual stimulation can induce the modification of intrinsic oscillatory activities by reconfiguring resting-state activity at a network level, which could facilitate the responses evoked by the stimulus. These findings provide new insights into the response mechanisms of periodic visual stimulation.
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spelling doaj.art-b8c8a013f82f45c89ae6a7e74d6af0c02022-12-22T01:29:09ZengFrontiers Media S.A.Frontiers in Computational Neuroscience1662-51882018-03-011210.3389/fncom.2018.00021359220Periodic Visual Stimulation Induces Resting-State Brain Network ReconfigurationDaqing Guo0Fengru Guo1Yangsong Zhang2Yangsong Zhang3Fali Li4Yang Xia5Peng Xu6Dezhong Yao7MOE Key Lab for Neuroinformation, The Clinical Hospital of Chengdu Brain Science Institute, University of Electronic Science and Technology of China, Chengdu, ChinaMOE Key Lab for Neuroinformation, The Clinical Hospital of Chengdu Brain Science Institute, University of Electronic Science and Technology of China, Chengdu, ChinaMOE Key Lab for Neuroinformation, The Clinical Hospital of Chengdu Brain Science Institute, University of Electronic Science and Technology of China, Chengdu, ChinaSchool of Computer Science and Technology, Southwest University of Science and Technology, Mianyang, ChinaMOE Key Lab for Neuroinformation, The Clinical Hospital of Chengdu Brain Science Institute, University of Electronic Science and Technology of China, Chengdu, ChinaMOE Key Lab for Neuroinformation, The Clinical Hospital of Chengdu Brain Science Institute, University of Electronic Science and Technology of China, Chengdu, ChinaMOE Key Lab for Neuroinformation, The Clinical Hospital of Chengdu Brain Science Institute, University of Electronic Science and Technology of China, Chengdu, ChinaMOE Key Lab for Neuroinformation, The Clinical Hospital of Chengdu Brain Science Institute, University of Electronic Science and Technology of China, Chengdu, ChinaPeriodic visual stimulation can evoke the steady-state visual potential (SSVEP) in the brain. Owing to its superior characteristics, the SSVEP has been widely used in neural engineering and cognitive neuroscience studies. However, the underlying mechanisms of the SSVEP are not well understood. In this study, we introduced a brain reconfiguration methodology to explore the possible mechanisms of the SSVEP. The EEG data from five periodic stimuli consistently indicated that the periodic visual stimulation could induce resting-state brain network reconfiguration and that the responses evoked by the stimuli were correlated to the network reconfiguration indexes. For each stimulus frequency, larger response amplitudes corresponded to higher reconfiguration indexes from the resting-state network to a stimulus-evoked network. These findings demonstrate that an external periodic visual stimulation can induce the modification of intrinsic oscillatory activities by reconfiguring resting-state activity at a network level, which could facilitate the responses evoked by the stimulus. These findings provide new insights into the response mechanisms of periodic visual stimulation.http://journal.frontiersin.org/article/10.3389/fncom.2018.00021/fullperiodic visual stimulussteady-state visual evoked potentials (SSVEP)network reconfigurationgraph theoretical analysisbrain networkfunctional connectivity
spellingShingle Daqing Guo
Fengru Guo
Yangsong Zhang
Yangsong Zhang
Fali Li
Yang Xia
Peng Xu
Dezhong Yao
Periodic Visual Stimulation Induces Resting-State Brain Network Reconfiguration
Frontiers in Computational Neuroscience
periodic visual stimulus
steady-state visual evoked potentials (SSVEP)
network reconfiguration
graph theoretical analysis
brain network
functional connectivity
title Periodic Visual Stimulation Induces Resting-State Brain Network Reconfiguration
title_full Periodic Visual Stimulation Induces Resting-State Brain Network Reconfiguration
title_fullStr Periodic Visual Stimulation Induces Resting-State Brain Network Reconfiguration
title_full_unstemmed Periodic Visual Stimulation Induces Resting-State Brain Network Reconfiguration
title_short Periodic Visual Stimulation Induces Resting-State Brain Network Reconfiguration
title_sort periodic visual stimulation induces resting state brain network reconfiguration
topic periodic visual stimulus
steady-state visual evoked potentials (SSVEP)
network reconfiguration
graph theoretical analysis
brain network
functional connectivity
url http://journal.frontiersin.org/article/10.3389/fncom.2018.00021/full
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