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Everything about Dynamic functional connectivity

Dynamic functional connectivity (DFC) refers to the observed phenomenon that functional connectivity changes over a short time. Dynamic functional connectivity is a recent expansion on traditional functional connectivity analysis which typically assumes that functional networks are static in time. DFC is related to a variety of different neurological disorders, and has been suggested to be a more accurate representation of functional brain networks. The primary tool for analyzing DFC is fMRI, but DFC has also been observed with several other mediums. DFC is a recent development within the field of functional neuroimaging whose discovery was motivated by the observation of temporal variability in the rising field of steady state connectivity research. Wikipedia →

🧭 Start here: a 6-step reading path

  1. Read the overview: Dynamic functional connectivityA 5-minute orientation
  2. Skim a recent paper: Abnormal characterization of dynamic functional connectivity in Alzheimer’s diseaseInfluential work since 2022
  3. Pick up a classic book: Contributions of Mexican Mathematicians Abroad in Pure and Applied MathematicsThe most-reprinted book on the subject
  4. Read the landmark paper: Dynamic functional connectivity: Promise, issues, and interpretationsCited 3,065 times
  5. Go sideways: Resting state fMRIA closely related topic
  6. Go sideways: Functional MRI methods and findings in schizophreniaA closely related topic

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