Dynamic Functional Connectivity

Lucas G. S. França*, Sunniva Fenn-Moltu, Dafnis Batalle

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review


Functional connectivity (FC) is often analyzed assuming a condition of stationarity. While this is a useful approach to characterize global characteristics of brain activity, connectivity of the brain is intrinsically dynamic, that is, nonstationary. This chapter will summarize the typical techniques used to infer dynamic FC from resting-state functional MRI, including sliding window, cofluctuations, and phase synchrony. It reviews measures and techniques used to characterize global brain dynamics with measures, such as mean synchrony and metastability. It also discusses dimensionality reduction and clustering of temporally resolved connectivity in macrostates, the analysis of state transitions, and clinical applications and cases of use. Finally, this chapter will discuss potential limitations of the technique, and provide a list of recommendations.
Original languageEnglish
Title of host publicationConnectome Analysis
Subtitle of host publicationCharacterization, Methods, and Analysis
EditorsMarkus D. Schirmer, Tomoki Arichi, Ai Wernq Chung
Place of PublicationOxford
Number of pages27
ISBN (Electronic)9780323852814
ISBN (Print)9780323852807
Publication statusPublished - 30 Jun 2023

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