This lecture introduces the basics of dynamic functional connectivity in the human brain, covering sliding window analysis, point-process analysis, and auto-regressive models. It explores the challenges and methods to analyze dynamic brain networks, including issues related to window length, noise fluctuations, and parameter choices.