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The role of instantaneous relations in the estimation of brain effective connectivity and a modified measure

机译:瞬时关系在大脑有效连接性估计中的作用和改进措施

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As a developing field of investigation, exploring the causal relations (effective connectivity) among brain regions, helps the neurologists to understand the brain function. Most of effective connectivity measures are model-based but in the recent years some nonparametric measures like Transfer Entropy (TE) have been proposed. TE is based on the conditional mutual information concept. However in the presence of strong instantaneous relations that are observed extensively among cortical activity of brain regions, TE may estimate the causal (delayed) relations inaccurately. In this paper we present a novel information-theoretic based measure called Instantaneous Interaction (II) to estimate the brain instantaneous relations. Then we present a novel measure called Modified Transfer Entropy (MTE) to estimate the causal (delayed) relations when II is significant. The performance of these new measures is evaluated on 3 simulated models and experimental EEG data.
机译:作为研究的一个发展领域,探索大脑区域之间的因果关系(有效连通性)有助于神经科医生理解大脑的功能。大多数有效的连接性度量都是基于模型的,但是近年来,已提出了一些非参数性度量,例如传递熵(TE)。 TE基于条件互信息的概念。但是,在大脑区域的皮质活动之间广泛观察到的强瞬时关系的情况下,TE可能会错误地估计因果关系(延迟)。在本文中,我们提出了一种基于信息理论的新方法,称为瞬时相互作用(II),用于估计大脑的瞬时关系。然后,我们提出了一种新颖的测度,称为“修正传递熵”(MTE),用于在II显着时估计因果关系(延迟)。这些新措施的性能在3个模拟模型和实验性EEG数据上进行了评估。

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