首页> 美国卫生研究院文献>Scientific Reports >The enhanced information flow from visual cortex to frontal area facilitates SSVEP response: evidence from model-driven and data-driven causality analysis
【2h】

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

机译:从视觉皮层到额叶区域的增强信息流有助于SSVEP响应:模型驱动和数据驱动因果关系分析的证据

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务,本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文,但由于OA文献来源多样且变更频繁,仍可能出现获取不到、文献不完整或与标题不符等情况,如果获取不到我们将提供退款服务。请知悉。

摘要

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.
机译:稳态视觉诱发电位(SSVEP)的神经机制仍不清楚。特别是,只有某些频率刺激才能引起SSVEP。我们以前的网络研究表明,可以引起强烈的SSVEP反应的8 Hz刺激显示额叶皮层和视觉皮层之间的连接强度增强。为了进一步探究两个皮层区域之间针对各种频率刺激的定向信息流,本文基于粒子群优化(PSO)基于双列模型反演的因果关系分析,以表征视觉皮层和额叶皮层之间的定向信息流。颅内大鼠脑电图仪(EEG)。估计的模型参数表明,8 Hz刺激显示出从视觉皮层到额叶的增强的方向性信息流,促进了SSVEP响应,这可能解释了8 Hz刺激对SSVEP的强烈响应。此外,通过数据驱动的因果关系分析可以复制类似的发现。本研究提出的神经质量模型反演可能有助于提供新的因果关系分析,以将生理模型与神经科学和临床研究中观察到的数据集联系起来。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号