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从视觉皮层到额叶区域增强的信息流促进稳态视觉诱发电位反应:来自模型驱动和数据驱动因果关系分析的证据。

The enhanced information flow from visual cortex to frontal area facilitates SSVEP response: evidence from model-driven and data-driven causality analysis.

作者信息

Li Fali, Tian Yin, Zhang Yangsong, Qiu Kan, Tian Chunyang, Jing Wei, Liu Tiejun, Xia Yang, Guo Daqing, Yao Dezhong, Xu Peng

机构信息

Key Laboratory for NeuroInformation of Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, 610054, China.

College of Bio-information, ChongQing University of Posts and Telecommunications, ChongQing, 400065, China.

出版信息

Sci Rep. 2015 Oct 5;5:14765. doi: 10.1038/srep14765.

Abstract

The neural mechanism of steady-state visual evoked potentials (SSVEP) is still not clearly understood. Especially, only certain frequency stimuli can evoke SSVEP. Our previous network study reveals that 8 Hz stimulus that can evoke strong SSVEP response shows the enhanced linkage strength between frontal and visual cortex. To further probe the directed information flow between the two cortex areas for various frequency stimuli, this paper develops a causality analysis based on the inversion of double columns model using particle swarm optimization (PSO) to characterize the directed information flow between visual and frontal cortices with the intracranial rat electroencephalograph (EEG). The estimated model parameters demonstrate that the 8 Hz stimulus shows the enhanced directional information flow from visual cortex to frontal lobe facilitates SSVEP response, which may account for the strong SSVEP response for 8 Hz stimulus. Furthermore, the similar finding is replicated by data-driven causality analysis. The inversion of neural mass model proposed in this study may be helpful to provide the new causality analysis to link the physiological model and the observed datasets in neuroscience and clinical researches.

摘要

稳态视觉诱发电位(SSVEP)的神经机制仍未被清楚地理解。特别是,只有特定频率的刺激才能诱发SSVEP。我们之前的网络研究表明,能够诱发强烈SSVEP反应的8Hz刺激显示出额叶和视觉皮层之间增强的连接强度。为了进一步探究不同频率刺激下两个皮层区域之间的定向信息流,本文基于使用粒子群优化(PSO)的双柱模型反演开发了一种因果分析方法,以利用大鼠颅内脑电图(EEG)来表征视觉皮层和额叶之间的定向信息流。估计的模型参数表明,8Hz刺激显示出从视觉皮层到额叶的增强定向信息流促进了SSVEP反应,这可能解释了8Hz刺激下强烈的SSVEP反应。此外,通过数据驱动的因果分析也重复了类似的发现。本研究中提出的神经质量模型反演可能有助于提供新的因果分析,以在神经科学和临床研究中将生理模型与观测数据集联系起来。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0839/4593173/0b3549234141/srep14765-f1.jpg

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