Sotero Diaz, Roberto C.Dousty, Mehdy2018-01-182018-01-182017-12-19Dousty, M. (2017). Large-scale information processing during spontaneous brain activity revealed by cross-frequency coupling (Master's thesis, University of Calgary, Calgary, Canada). Retrieved from https://prism.ucalgary.ca.http://hdl.handle.net/1880/106275Amplitude-amplitude (AAC), phase-phase (PPC), and phase-amplitude (PAC) coupling of brain activity are mechanisms that shape the information flow across multiple spatiotemporal scales; however, it is unclear how they are related. We used source-space projected resting-state magnetoencephalography data and empirical mode decomposition to obtain AAC-, PPC-, and PAC-based functional connectivity matrices. We found that specific PAC interactions are highly variable across subjects, but the global topological properties of the network are consistent. PPC and AAC were consistent at both the local and global scales. Additionally, the higher the spatial complexity of PAC is, the stronger its correlation with AAC and PPC will be. Finally, direct and indirect functional connections are differently correlated to the properties of the underlying anatomical scaffold. Together, our results suggest that PPC of high frequencies facilitates the integration of information, AAC of low frequencies facilitates the segregation of information, and PAC is the mechanism binding these two information streams.enUniversity of Calgary graduate students retain copyright ownership and moral rights for their thesis. You may use this material in any way that is permitted by the Copyright Act or through licensing that has been assigned to the document. For uses that are not allowable under copyright legislation or licensing, you are required to seek permission.Cross frequency couplingPhase Phase couplingAmplitude Amplitude couplingFunctional connectivityAnatomical connectivityEmpirical Mode DecompositionNeurosciencemaster thesishttp://dx.doi.org/10.11575/PRISM/5356