ArticleCognitive neurodynamics2015
The graph theoretical analysis of the SSVEP harmonic response networks.
Article in Cognitive neurodynamics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Neuromodulatory effects of voluntary-motor-effort-driven wrist-hand robot in sensorimotor dynamics after stroke.Journal of neuroengineering and rehabilitation · 2026Article
- Conformal in-ear bioelectronics for visual and auditory brain-computer interfaces.Nature communications · 2023Article
- A survey of brain network analysis by electroencephalographic signals.Cognitive neurodynamics · 2022Article
- The dynamics of reading complex words: evidence from steady-state visual evoked potentials.Scientific reports · 2021Article
- Brain Dynamics Altered by Photic Stimulation in Patients with Alzheimer's Disease and Mild Cognitive Impairment.Entropy (Basel, Switzerland) · 2021Article
- Adjustment of Synchronization Stability of Dynamic Brain-Networks Based on Feature Fusion.Frontiers in human neuroscience · 2019Article
- Different Contexts in the Oddball Paradigm Induce Distinct Brain Networks in Generating the P300.Frontiers in human neuroscience · 2018Article
- Periodic Visual Stimulation Induces Resting-State Brain Network Reconfiguration.Frontiers in computational neuroscience · 2018Article
- Visual cortex responses reflect temporal structure of continuous quasi-rhythmic sensory stimulation.NeuroImage · 2017Article
- Neurofeedback Therapy for Enhancing Visual Attention: State-of-the-Art and Challenges.Frontiers in neuroscience · 2016Review
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5 authors.
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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.
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