Detection of n:m phase locking from noisy data:: Application to magnetoencephalography
Detection of n:m phase locking from noisy data:: Application to magnetoencephalography
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DOI：
10.1103/physrevlett.81.3291
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发表时间：
1998-10-12
影响因子：
8.6
通讯作者：
Freund, HJ
中科院分区：
文献类型：
--
作者：
Tass, P;Rosenblum, MG;Freund, HJ
我们使用相位同步的概念来分析有噪声的非平稳二元数据。相位同步在统计意义上被理解为相位差的优选值的存在，并提出了两种技术来可靠地检测同步时代。这些方法应用于帕金森病患者的脑磁图和肌肉活动记录。我们发现外周震颤节律的时间演变直接反映了皮层运动区异常活动同步的时间过程。[s0031 - 9007(98) 07333 - 5]。
We use the concept of phase synchronization for the analysis of noisy nonstationary bivariate data. Phase synchronization is understood in a statistical sense as an existence of preferred values of the phase difference, and two techniques are proposed for a reliable detection of synchronous epochs. These methods are applied to magnetoencephalograms and records of muscle activity of a Parkinsonian patient. We reveal that the temporal evolution of the peripheral tremor rhythms directly reflects the time course of the synchronization of abnormal activity between cortical motor areas. [S0031-9007(98)07333-5].