SSVEP Responses Reveal the Efficiency of Functional Brain Network Entrained by the Flickering Stimulus

Yangsong Zhang, Peng Xu, D. Yao
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Abstract

Abstract In this study, we used the graph theoretical analysis to investigate the association between the functional networks entrained by periodic stimuli and the steady state visual evoked potentials (SSVEP) responses. Using 12.5Hz and 16.6Hz, we found that the SSVEP responses were positively correlated with the clustering coefficient, global and local efficiencies, while negatively correlated with the characteristic path length of the functional networks. These findings indicated that larger SSVEP responses correspond with better functional networks structures. This study may bring new insights into understanding brain mechanisms when using SSVEPs as frequency tags.
SSVEP反应揭示了闪烁刺激下脑功能网络的效率
摘要本研究采用图论分析方法,探讨了周期性刺激下的功能网络与稳态视觉诱发电位(SSVEP)反应之间的关系。在12.5Hz和16.6Hz条件下,SSVEP响应与聚类系数、全局效率和局部效率呈正相关,与功能网络的特征路径长度负相关。这些发现表明,更大的SSVEP反应与更好的功能网络结构相对应。这项研究可能为理解使用ssvep作为频率标签时的大脑机制带来新的见解。
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