Visualizing Brain Synchronization: An Explainable Representation of Phase-Amplitude Coupling.

International Work-Conference on the Interplay Between Natural and Artificial Computation(2024)

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摘要
In the realm of neuroscience, brain activity is often characterized by rhythmic oscillations at different frequency bands. These oscillations underlie various cognitive processes and constitutes the basis 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 comprehensive view of neural dynamics than traditional measures of connectivity or based on the distribution of the power spectral density. In this paper, we propose a method to explore CFC local patterns in an explainable 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.
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