In the realm of neuroscience, brain activity is often char-
acterized by rhythmic oscillations at different frequency bands. These
oscillations underlie various cognitive processes and constitutes the ba-
sis of communication between populations of neurons. Cross-frequency
coupling (CFC) refers to techniques directed to study the interactions
between oscillations at different frequencies, providing a more compre-
hensive view of neural dynamics than traditional measures of connectiv-
ity or based on the distribution of the power spectral density. In this
paper, we propose a method to explore CFC local patterns in an ex-
plainable way, allowing to visualize them over time and to easily identify
functional brain areas activated during a task development from the
Phase-Amplitude Coupling (PAC) point of view.