Subject: Nonlinear Sciences - Adaptation and Self-Organizing Systems
Subject: Nonlinear Sciences - Adaptation and Self-Organizing Systems
Subject: Physics - Biological Physics
Subject: Physics - Data Analysis; Statistics and Probability
Subject: Physics - Medical Physics
Subject: Quantitative Biology - Neurons and Cognition
Year: 2023
Type: Article
Title: Delta-alpha cross-frequency coupling for different brain regions
Author: Lukarski, Dushko
Author: Petkoski, Spase
Author: Ji, Peng
Author: Stankovski Tomislav
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 function was averaged out, which implies that there is a common dependence within separate regions across the subjects. It was also found that for certain regions the influence of delta on alpha oscillations is more pronounced and that oscillations that influence other are more evenly distributed across brain regions than the influenced oscillations. When presenting the information on brain lobes, it was shown that the influence of delta emanating from the brain as a whole is greatest on the alpha oscillations of the cingulate frontal lobe, and at the same time the influence of delta from the cingulate parietal brain lobe is greatest on the alpha oscillations of the whole brain.
Publisher: AIP Publishing
Relation: Chaos: An Interdisciplinary Journal of Nonlinear Science
Identifier: oai:repository.ukim.mk:20.500.12188/30307
Identifier: http://hdl.handle.net/20.500.12188/30307Identifier: 10.1063/5.0157979
Identifier: https://pubs.aip.org/aip/cha/article-pdf/doi/10.1063/5.0157979/18171560/103126_1_5.0157979.pdfIdentifier: 33
Identifier: 10
