This talk will serve as an introduction to functional connectivity. The primary focus is on spontaneous brain activity observed with functional magnetic resonance imaging. In this talk, I will cover the origins of resting state fMRI signals, analysis methods to map large-scale functional brain networks based on fMRI (or MEG/EEG), dynamics of functional connectivity, variation of functional connectivity across brain states, diseases, or individuals, as well as some recent work of using deep learning to map or analyze functional connectivity.
- characteristics of spontaneous and ongoing brain activity observed with functional MRI
- neural vs. non-neural contributors to resting-state fMRI signals
- hypothesis vs. data-driven methods for mapping functional connectivity
- non-MRI based methods for mapping functional connectivity
- dynamics of functional connectivity: methods, interpretation and confounds
- variation of functional connectivity across brain states
- variation of functional connectivity across diseases
- variation of functional connectivity across individuals
- functional connectivity beyond linearity