Delta-alpha cross-frequency coupling for different brain regions
Dushko Lukarski, Spase Petkoski, Peng Ji, Tomislav Stankovski

TL;DR
This study investigates cross-frequency coupling between delta and alpha brain oscillations across different regions using EEG and Bayesian inference, revealing region-specific influence patterns and waveform characteristics.
Contribution
It introduces an adaptive Bayesian method to analyze region-specific delta-alpha coupling in EEG data, highlighting regional differences in influence and waveform shape.
Findings
Delta influences alpha oscillations more in certain regions
Waveform shapes of coupling functions vary across regions
Delta influence from the cingulate lobes is particularly strong
Abstract
Neural interactions occur on different levels and scales. It is of particular importance to understand how they are distributed among different neuroanatomical and physiological relevant brain regions. We investigated neural cross-frequency couplings between different brain regions according to the Desikan-Killiany brain parcellation. The adaptive dynamic Bayesian inference method was applied to EEG measurements of healthy resting subjects in order to reconstruct the coupling functions. It was found that even after averaging over all subjects, the mean coupling function showed a characteristic waveform, confirming the direct influence of the delta-phase on the alpha-phase dynamics in certain brain regions and that the shape of the coupling function changes for different regions. While the averaged coupling function within a region was of similar form, the region-averaged coupling…
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Taxonomy
TopicsNeural dynamics and brain function · Functional Brain Connectivity Studies · EEG and Brain-Computer Interfaces
