首页> 外文会议>33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society >Functional connectivity in vergence and saccade eye movement tasks assessed using Granger Causality Analysis
【24h】

Functional connectivity in vergence and saccade eye movement tasks assessed using Granger Causality Analysis

机译:使用Granger因果关系分析评估在发散和扫视眼运动任务中的功能连接

获取原文

摘要

Throughout the day, the human visual system acquires information using saccade and vergence eye movements. Previously, functional MRI (fMRI) experiments have shown both shared neural resources and spatial differentiation between these two systems. FMRI experiments can reveal which regions are activated within an experimental task but do not yield insight into how regions of interest (ROIs) interact with each other. This study investigated the number and direction of influences among ROIs using a Granger Causality Analysis (GCA) — a statistical technique used to identify if an ROI is significantly influencing or ‘connected’ to another ROI. Two stimulus protocols were used: first, a simple block design of fixation versus random eye movements; and second, a more cognitively demanding task using random versus predictable movements. Each protocol used saccadic movements and was then repeated using vergence movements. Eight subjects participated in each of the four experiments. Results show that when prediction was evoked, more connections between ROIs were observed compared to the simple tracking experiment. More connections were also observed during the vergence prediction task compared to the saccade prediction task. Differences within the number of connections may be due to the type of oculomotor eye movements, as well as to the amount of higher-level executive cognitive demand.
机译:整天,人类视觉系统都使用扫视和发散眼球运动来获取信息。以前,功能性MRI(fMRI)实验已经显示了这两个系统之间共享的神经资源和空间差异。 FMRI实验可以揭示在实验任务中激活了哪些区域,但无法深入了解感兴趣区域(ROI)如何相互影响。这项研究使用格兰杰因果分析(GCA)研究了ROI中影响的数量和方向。Granger因果分析(GCA)是一种统计技术,用于识别ROI是否显着影响或“连接”到另一个ROI。使用了两种刺激方案:第一,简单的固定设计与随机的眼球运动相比;第二,使用随机动作与可预测动作的认知要求更高的任务。每种方案均使用跳动运动,然后使用收敛运动进行重复。八个实验参加了四个实验的每一个。结果表明,当进行预测时,与简单的跟踪实验相比,可以观察到更多的ROI之间的联系。与扫视预测任务相比,在收敛预测任务期间还观察到更多的连接。连接数量上的差异可能是由于动眼运动的类型,以及更高级别的执行者认知需求所致。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

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