Department of Human Movement Sciences, Faculty of Behavioural and Movement Sciences, Vrije Universiteit Amsterdam, Institute for Brain and Behavior Amsterdam & Amsterdam Movement Sciences, The Netherlands.
Department of Neurophysiology and Pathophysiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
J Neurosci Methods. 2021 Feb 15;350:109032. doi: 10.1016/j.jneumeth.2020.109032. Epub 2020 Dec 26.
Two measures of cross-frequency coupling are phase-amplitude coupling (PAC) and bicoherence. The estimation of PAC with meaningful bandwidth for the high-frequency amplitude is crucial in order to avoid misinterpretations. While recommendations on the bandwidth of PAC's amplitude component exist, there is no consensus yet. Theoretical relationships between PAC and bicoherence can provide insights on how to set PAC's filters.
To illustrate this, PAC estimated from simulated and empirical data are compared to the bispectrum. We used simulations replicated from earlier studies and empirical data from human electro-encephalography and rat local field potentials. PAC's amplitude component was estimated using a filter bandwidth with a ratio of (1) 2:1, (2) 1:1, or (3) 0.5:1 relative to the phase frequency.
For both simulated and empirical data, PAC was smeared over a broad frequency range and not present when the estimates comprised a 2:1- and 0.5:1-ratio, respectively. In contrast, the 1:1-ratio accurately avoids smearing and results in clear signals of cross-frequency coupling. Bicoherence estimates were found to be essentially identical to PAC calculated with the recommended frequency setting.
COMPARISON WITH EXISTING METHOD(S): Earlier recommendations on filter settings of PAC lead to estimates which are smeared in the frequency domain, which makes it difficult to identify cross-frequency coupling of neural processes operating in narrow frequency bands.
We conclude that smearing of PAC estimates can be avoided with a different choice of filter settings by theoretically relating PAC to bicoherence.
两种跨频耦合度量方法是相位-振幅耦合(PAC)和双谱。为了避免误解,对高频振幅进行有意义带宽的 PAC 估计至关重要。虽然存在关于 PAC 的幅度分量带宽的建议,但尚未达成共识。PAC 和双谱之间的理论关系可以提供有关如何设置 PAC 滤波器的见解。
为了说明这一点,我们比较了从模拟和经验数据中估计的 PAC 与双谱。我们使用了从早期研究中复制的模拟数据和来自人类脑电图和大鼠局部场电位的经验数据。PAC 的幅度分量使用与相位频率的比为(1)2:1、(2)1:1 或(3)0.5:1 的滤波器带宽进行估计。
对于模拟和经验数据,PAC 在宽频范围内被模糊,并且当估计包含 2:1 和 0.5:1 的比值时不存在。相比之下,1:1 的比值准确地避免了模糊,并且产生了清晰的跨频耦合信号。发现双谱估计与使用推荐的频率设置计算的 PAC 基本相同。
早期关于 PAC 滤波器设置的建议导致在频域中模糊的估计,这使得难以识别在窄频带中运行的神经过程的跨频耦合。
我们得出结论,通过从理论上把 PAC 与双谱联系起来,选择不同的滤波器设置可以避免 PAC 估计的模糊。