1 Citation (Scopus)

Abstract

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
PublisherElsevier
Pages219-245
Number of pages27
ISBN (Electronic)9780323852807
ISBN (Print)9780323852814
DOIs
Publication statusPublished - 1 Jan 2023

Keywords

  • Brain dynamics
  • brain states
  • cofluctuation
  • cooscillation
  • fMRI
  • metastability
  • phase synchrony
  • time-resolved connectivity

Cite this