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癫痫发作期间的分形同步评估

Assessment of Fractal Synchronization during an Epileptic Seizure.

作者信息

Gorshkov Oleg, Ombao Hernando

机构信息

Statistics Program, King Abdullah University of Science and Technology, Thuwal 23955, Saudi Arabia.

出版信息

Entropy (Basel). 2024 Aug 5;26(8):666. doi: 10.3390/e26080666.

Abstract

In this paper, we define fractal synchronization () based on the idea of stochastic synchronization and propose a mathematical apparatus for estimating . One major advantage of our proposed approach is that fractal synchronization makes it possible to estimate the aggregate strength of the connection on multiple time scales between two projections of the attractor, which are time series with a fractal structure. We believe that one of the promising uses of is the assessment of the interdependence of encephalograms. To demonstrate this approach in evaluating the cross-dependence between channels in a network of electroencephalograms, we evaluated the of encephalograms during an epileptic seizure. Fractal synchronization demonstrates the presence of desynchronization during an epileptic seizure.

摘要

在本文中,我们基于随机同步的思想定义了分形同步(),并提出了一种用于估计的数学方法。我们所提出方法的一个主要优点是,分形同步使得能够估计吸引子的两个投影之间在多个时间尺度上连接的总强度,这两个投影是具有分形结构的时间序列。我们认为的一个有前景的用途是评估脑电图的相互依赖性。为了在评估脑电图网络中各通道之间的交叉依赖性时展示这种方法,我们评估了癫痫发作期间脑电图的。分形同步表明癫痫发作期间存在去同步化。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4463/11353581/68966fa7068f/entropy-26-00666-g001.jpg

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