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Changes in granger causality for brain connectivity depending on the concentration levels of isoflurane in rat study

机译:基于大鼠研究中异氟醚浓度水平的Granger因果关系的变化

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Today, the developing signal processing technology leads to the medical discoveries as well as the fast and elaborate communication. Especially, neurological findings on brain connectivity are one of the interesting issues. However, in spite of the effort to study the brain connectivity by the neuroscientists and engineers, a large part of brain functions are unknown. Among them, the consciousness mechanism in the anesthesia is one hot topic in the medical fields. Although the many researchers investigate the mechanism of loss of consciousness (LOC), the feasible cause for that phenomenon is unknown. In order to evaluate the state of unconsciousness by the anesthesia, the analysis of the brain connectivity is needed. The Granger causality (GC) is one of the algorithms for extracting brain connectivity using electroencephalogram (EEG). It indicates the information flows between two different brain regions whether they are connected physically or not. In this paper, we investigate brain connectivity which is based on the GC between the brain regions of rats depending on concentration levels of isoflurane that is widely used for inhalation anesthetic in human medicine.
机译:如今,开发信号处理技术导致医疗发现以及快速和精心的通信。特别是,脑连接性的神经系统发现是有趣的问题之一。然而,尽管努力研究神经科学家和工程师的大脑连接,但大部分大脑功能都是未知的。其中,麻醉中的意识机制是医疗领域的一个热门话题。虽然许多研究人员调查了意识丧失的机制(LOC),但这种现象的可行原因是未知的。为了评估麻醉的无意识状态,需要对脑连接的分析。格兰杰因果关系(GC)是使用脑电图(EEG)提取脑连接的算法之一。它表示它们在两个不同的大脑区域之间流动它们是否在物理上连接。在本文中,我们研究了基于大鼠脑区域之间的GC的脑连接,这取决于异氟醚的浓度水平,这些浓度水平广泛用于人类医学中的吸入麻醉剂。

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