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Abstract
This thesis focuses on functional interactions between gyri and sulci in the human brain. From the signal processing aspect, a data-driven signal decomposition framework was proposed and applied to infer meaningful low-frequency information from Blood Oxygenation Level Dependent (BOLD) time series from resting-state, task-based, and natural stimulus fMRI. From the data analysis aspect, a functional model of cortical gyri and sulci was proposed where we hypothesize that gyri are the global functional integration hubs and sulci are the local functional units. We examined and verified this functional model by structural and functional connectivity analysis on cortical landmarks of gyri and sulci, as well as whole brain correlation analysis performed on resting-state fMRI data. This functional model of gyri and sulci provides a novel perspective on the functional cortical architecture and offers a starting point for future elucidation of fine-scale functional mechanisms of the cerebral cortex.