Literature DB >> 25972979

The graph theoretical analysis of the SSVEP harmonic response networks.

Yangsong Zhang1, Daqing Guo2, Kaiwen Cheng3, Dezhong Yao2, Peng Xu2.   

Abstract

Steady-state visually evoked potentials (SSVEP) have been widely used in the neural engineering and cognitive neuroscience researches. Previous studies have indicated that the SSVEP fundamental frequency responses are correlated with the topological properties of the functional networks entrained by the periodic stimuli. Given the different spatial and functional roles of the fundamental frequency and harmonic responses, in this study we further investigated the relation between the harmonic responses and the corresponding functional networks, using the graph theoretical analysis. We found that the second harmonic responses were positively correlated to the mean functional connectivity, clustering coefficient, and global and local efficiencies, while negatively correlated with the characteristic path lengths of the corresponding networks. In addition, similar pattern occurred with the lowest stimulus frequency (6.25 Hz) at the third harmonic responses. These findings demonstrate that more efficient brain networks are related to larger SSVEP responses. Furthermore, we showed that the main connection pattern of the SSVEP harmonic response networks originates from the interactions between the frontal and parietal-occipital regions. Overall, this study may bring new insights into the understanding of the brain mechanisms underlying SSVEP.

Entities:  

Keywords:  Brain network; Functional connectivity; Graph theoretical analysis; Harmonic response; Steady-state visual evoked potentials (SSVEP)

Year:  2015        PMID: 25972979      PMCID: PMC4427588          DOI: 10.1007/s11571-015-9327-3

Source DB:  PubMed          Journal:  Cogn Neurodyn        ISSN: 1871-4080            Impact factor:   5.082


  37 in total

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Authors:  R B Silberstein; P L Nunez; A Pipingas; P Harris; F Danieli
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2.  Topography of cortical activation differs for fundamental and harmonic frequencies of the steady-state visual-evoked responses. An EEG and PET H215O study.

Authors:  M A Pastor; M Valencia; J Artieda; M Alegre; J C Masdeu
Journal:  Cereb Cortex       Date:  2006-10-23       Impact factor: 5.357

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Review 4.  Steady-state visually evoked potentials: focus on essential paradigms and future perspectives.

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Review 6.  Time domain measures of inter-channel EEG correlations: a comparison of linear, nonparametric and nonlinear measures.

Authors:  J D Bonita; L C C Ambolode; B M Rosenberg; C J Cellucci; T A A Watanabe; P E Rapp; A M Albano
Journal:  Cogn Neurodyn       Date:  2013-09-04       Impact factor: 5.082

7.  Spatial filtering and neocortical dynamics: estimates of EEG coherence.

Authors:  R Srinivasan; P L Nunez; R B Silberstein
Journal:  IEEE Trans Biomed Eng       Date:  1998-07       Impact factor: 4.538

8.  Multiple frequencies sequential coding for SSVEP-based brain-computer interface.

Authors:  Yangsong Zhang; Peng Xu; Tiejun Liu; Jun Hu; Rui Zhang; Dezhong Yao
Journal:  PLoS One       Date:  2012-03-06       Impact factor: 3.240

9.  Brain anatomical network and intelligence.

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Journal:  PLoS Comput Biol       Date:  2009-05-29       Impact factor: 4.475

10.  Cortical network properties revealed by SSVEP in anesthetized rats.

Authors:  Peng Xu; Chunyang Tian; Yangsong Zhang; Wei Jing; Zhenyu Wang; Tiejun Liu; Jun Hu; Yin Tian; Yang Xia; Dezhong Yao
Journal:  Sci Rep       Date:  2013       Impact factor: 4.379

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Journal:  Cogn Neurodyn       Date:  2021-06-14       Impact factor: 5.082

Review 2.  Neurofeedback Therapy for Enhancing Visual Attention: State-of-the-Art and Challenges.

Authors:  Mehdi Ordikhani-Seyedlar; Mikhail A Lebedev; Helge B D Sorensen; Sadasivan Puthusserypady
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3.  Visual cortex responses reflect temporal structure of continuous quasi-rhythmic sensory stimulation.

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4.  Periodic Visual Stimulation Induces Resting-State Brain Network Reconfiguration.

Authors:  Daqing Guo; Fengru Guo; Yangsong Zhang; Fali Li; Yang Xia; Peng Xu; Dezhong Yao
Journal:  Front Comput Neurosci       Date:  2018-03-28       Impact factor: 2.380

5.  The dynamics of reading complex words: evidence from steady-state visual evoked potentials.

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