Research Progress on Analysis Methods and Applications of Electroencephalogram Signals Based on Dynamic Functional Connectivity Analysis

The analysis of brain connectivity plays an irreplaceable role in the diagnosis and treatment of neurological and psychiatric disorders, as well as in the study of human brain function. Functional connectivity refers to the correlation of activity between different brain regions during resting state or task execution. By introducing the algorithms of functional connectivity patterns, this study analyzes the research history and basic workflow of dynamic functional connectivity, provides an overview of the algorithms for analyzing dynamic functional connectivity of electroencephalogram signals and their current applications, examined the research achievements and application effects of these methods, and the current status and advancements in the study of brain connectivity are distilled, furthermore, the development prospects and limitations of functional connectivity analysis of electroencephalogram signals are proposed.