Centre for Human Brain Health, School of Psychology, University of Birmingham , Birmingham B15 2TT, United Kingdom.
Department of Experimental Psychology, University of Oxford , OX1 3UD Oxford, United Kingdom.
eNeuro. 2017 Jan 16;3(6). doi: 10.1523/ENEURO.0334-16.2016. eCollection 2016 Nov-Dec.
Recently there has been a strong interest in cross-frequency coupling, the interaction between neuronal oscillations in different frequency bands. In particular, measures quantifying the coupling between the phase of slow oscillations and the amplitude of fast oscillations have been applied to a wide range of data recorded from animals and humans. Some of the measures applied to detect phase-amplitude coupling have been criticized for being sensitive to nonsinusoidal properties of the oscillations and thus spuriously indicate the presence of coupling. While such instances of spurious identification of coupling have been observed, in this commentary we give concrete examples illustrating cases when the identification of cross-frequency coupling can be trusted. These examples are based on control analyses and empirical observations rather than signal-processing tools. Finally, we provide concrete advice on how to determine when measures of phase-amplitude coupling can be considered trustworthy.
最近，人们对跨频耦合（不同频带的神经元振荡之间的相互作用）产生了浓厚的兴趣。特别是，用于量化慢波相位和快波幅度之间耦合的度量方法已被应用于从动物和人类记录的广泛数据中。一些用于检测相位-幅度耦合的度量方法因对振荡的非正弦特性敏感而受到批评，因此会错误地指示存在耦合。虽然已经观察到了这种虚假识别耦合的情况，但在这篇评论中，我们给出了具体的例子来说明可以信任交叉频率耦合的识别的情况。这些例子是基于控制分析和经验观察而不是信号处理工具得出的。最后，我们提供了具体的建议，说明如何确定何时可以认为相位-幅度耦合的度量是可靠的。
