Characterization of synchrony with applications to epileptic brain signals
Characterization of synchrony with applications to epileptic brain signals
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DOI：
10.1103/physrevlett.98.108102
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发表时间：
2007-03-09
影响因子：
8.6
通讯作者：
Huang, Liang
中科院分区：
文献类型：
--
作者：
Lai, Ying-Cheng;Frei, Mark G.;Huang, Liang
在复杂或高维、非平稳和噪声系统（例如哺乳动物大脑）网络中测量同步性在技术上是困难的。我们提出了一种分析多通道时间序列同步性的通用方法。这个想法是计算相位同步时间并构造一个矩阵。我们开发了一个基于随机矩阵的标准来正确选择对角矩阵元素。特征值和行列式的监测提供了评估同步变化的有效方法。该方法使用原型非平稳动力系统、来自假设增强同步性的失神发作的脑电图（头皮）数据以及来自具有二次概括的部分性癫痫发作的受试者的皮质电图（颅内）数据进行测试。
Measurement of synchrony in networks of complex or high-dimensional, nonstationary, and noisy systems such as the mammalian brain is technically difficult. We present a general method to analyze synchrony from multichannel time series. The idea is to calculate the phase-synchronization times and to construct a matrix. We develop a random-matrix-based criterion for proper choosing of the diagonal matrix elements. Monitoring of the eigenvalues and the determinant provides an effective way to assess changes in synchrony. The method is tested using a prototype nonstationary dynamical system, electroencephalogram (scalp) data from absence seizures for which enhanced synchrony is presumed, and electrocorticogram (intracranial) data from subjects having partial seizures with secondary generalization.