Multivariate Phase-Amplitude Cross-Frequency Coupling in Neurophysiological Signals

作者：Canolty Ryan T^*; Cadieu Charles F; Koepsell Kilian; Knight Robert T; Carmena Jose M

来源：IEEE Transactions on Biomedical Engineering, 2012, 59(1): 8-11.

DOI：10.1109/TBME.2011.2172439

• Cross-frequency coupling (CFC)
• multiscale brain networks
• multivariate analysis
• neuronal oscillations
• phase-amplitude coupling (PAC)

Phase-amplitude cross-frequency coupling (CFC)where the phase of a low-frequency signal modulates the amplitude or power of a high-frequency signal-is a topic of increasing interest in neuroscience. However, existing methods of assessing CFC are inherently bivariate and cannot estimate CFC between more than two signals at a time. Given the increase in multielectrode recordings, this is a strong limitation. Furthermore, the phase coupling between multiple low-frequency signals is likely to produce a high rate of false positives when CFC is evaluated using bivariate methods. Here, we present a novel method for estimating the statistical dependence between one high-frequency signal and N low-frequency signals, termed multivariate phase-coupling estimation (PCE). Compared to bivariate methods, the PCE produces sparser estimates of CFC and can distinguish between direct and indirect coupling between neurophysiological signals-critical for accurately estimating coupling within multiscale brain networks.

• 出版日期2012-1