Measuring Phase-Amplitude Coupling Between Neuronal Oscillations of Different Frequencies
Measuring Phase-Amplitude Coupling Between Neuronal Oscillations of Different Frequencies
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DOI：
10.1152/jn.00106.2010
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发表时间：
2010-08-01
影响因子：
2.5
通讯作者：
Kopell, Nancy
中科院分区：
文献类型：
--
作者：
Tort, Adriano B. L.;Komorowski, Robert;Kopell, Nancy
刘晓波，王晓波.测量不同频率神经元振荡之间的相位振幅耦合。J Neurophysiol 104：1195-1210，2010.首次发表于2010年5月12日; doi：10.1152/jn.00106.2010。不同频率的神经元振荡可以以多种方式相互作用。人们特别感兴趣的调制高频振荡的振幅的相位的低频振荡，因为最近的证据表明，这种类型的交叉频率耦合（CFC）的功能作用。相位-振幅耦合已经在从大脑获得的连续电生理信号中在局部和宏观水平上被报道。在目前的工作中，我们提出了一个新的措施，用于评估相幅CFC。该措施被定义为适应的Kullback-Leibler距离-一个函数，用于推断两个分布之间的距离-和计算多少经验振幅分布函数超过相位箱偏离均匀分布。我们表明，CFC措施定义这种方式是非常适合于评估的强度相幅耦合。我们还审查了其他七个CFC的措施，我们表明，一些性能基准，我们的措施是特别有吸引力的这项任务。我们还讨论了一些技术方面的措施，如用于这些分析和代理控制分析的效用的时期的长度。最后，我们应用的措施和相关的CFC工具，从自由活动的大鼠获得的实际海马记录，并显示，第一次，CA 3和CA 1区域呈现不同的CFC特征。
Tort ABL, Komorowski R, Eichenbaum H, Kopell N. Measuring phase-amplitude coupling between neuronal oscillations of different frequencies. J Neurophysiol 104: 1195-1210, 2010. First published May 12, 2010; doi:10.1152/jn.00106.2010. Neuronal oscillations of different frequencies can interact in several ways. There has been particular interest in the modulation of the amplitude of high-frequency oscillations by the phase of low-frequency oscillations, since recent evidence suggests a functional role for this type of cross-frequency coupling (CFC). Phase-amplitude coupling has been reported in continuous electrophysiological signals obtained from the brain at both local and macroscopic levels. In the present work, we present a new measure for assessing phase-amplitude CFC. This measure is defined as an adaptation of the Kullback-Leibler distance-a function that is used to infer the distance between two distributions-and calculates how much an empirical amplitude distribution-like function over phase bins deviates from the uniform distribution. We show that a CFC measure defined this way is well suited for assessing the intensity of phase-amplitude coupling. We also review seven other CFC measures; we show that, by some performance benchmarks, our measure is especially attractive for this task. We also discuss some technical aspects related to the measure, such as the length of the epochs used for these analyses and the utility of surrogate control analyses. Finally, we apply the measure and a related CFC tool to actual hippocampal recordings obtained from freely moving rats and show, for the first time, that the CA3 and CA1 regions present different CFC characteristics.