A simple measure of correlation across time, frequency and space between continuous brain signals
A simple measure of correlation across time, frequency and space between continuous brain signals
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DOI：
10.1016/s0165-0270(02)00358-8
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发表时间：
2003-03-15
影响因子：
3
通讯作者：
Lutz, A
中科院分区：
文献类型：
--
作者：
Lachaux, JP;Chavez, M;Lutz, A
本文介绍了一种简单而系统的方法来估计两个连续的电生理信号的谱能量之间的相关性，以这样的方式，它可以检测不同频率和不同频率之间的关系。从两个系列的信号（例如脑电图，脑磁图或局部场电位）记录从两个部位在重复的感觉刺激，该方法计算每个信号的时频能量。然后，计算在一个时间-频率区域中的第一信号序列的能量与第二时间-频率区域中的第二信号序列的能量之间的所有试验的斯皮尔曼秩序相关系数。该方法旨在分析频带之间的相互作用，以描述主要的大脑节律如何在时间和空间上相互作用。它被应用到两个模拟和颅内脑电图（EEG）记录从癫痫患者进行两个口头歧视测试（语音和语义任务）。它导致了不同的相关性模式在伽马波段的识别取决于由患者进行的语义分析的水平。(C)2002 Elsevier Science B. V.保留所有权利。
This paper introduces a simple but systematic method to estimate correlations between the spectral energy of two continuous electrophysiological signals in such a way that it can detect relationships between different frequencies and different latencies. From two series of signals (e.g. electroencephalogram, magnetoencephalogram or local field potentials) recorded from two sites in response to repeated sensory stimulations, the method computes the time-frequency energy of each signal. Then, it computes the Spearman rank order correlation coefficient across all the trials between the energy of the first signal series in one time-frequency region and the energy of the second signal series in a second time-frequency region. The method was designed to analyze interactions between frequency bands, in an effort to describe how the main brain rhythms interact with each other across time and space. It was applied to two simulations and to intracranial electro-encephalograin (EEG) recordings obtained from an epileptic patient performing two verbal discrimination tests (a phonological and a semantic task). It led to the identification of different correlations patterns in the gamma band depending on the level of semantic analysis performed by the patient. (C) 2002 Elsevier Science B.V. All rights reserved.