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Dynamische funktionelle Konnektivität×Phasen-Locking Value×
FachgebietNeurobildgebungNeurobildgebung
FamilieProcess / pipelineProcess / pipeline
Entstehungsjahr20131999
UrheberRyan M. HutchisonJean-Philippe Lachaux
TypResting-state fMRI connectivity pipelineEEG/MEG functional connectivity analysis
Wegweisende QuelleHutchison, R. M., Womelsdorf, T., Allen, E. A., et al. (2013). Dynamic functional connectivity: promise, problems, and perspectives. NeuroImage, 80, 360–378. link ↗Lachaux, J. P., Rodriguez, E., Martinerie, J., & Varela, F. J. (1999). Measuring phase synchrony in brain signals. Human Brain Mapping, 8(4), 194–208. DOI ↗
AliasnamendFC, time-varying connectivity, sliding window connectivityPLV, phase synchronization, phase coupling
Verwandt33
ZusammenfassungDynamic Functional Connectivity (dFC) is an analytical framework that tracks changes in functional connectivity between brain regions over time, rather than averaging connectivity across an entire scanning session. Systematized by Hutchison and colleagues in 2013, dFC reveals how brain networks reorganize moment-to-moment, providing insights into transient brain states and cognitive flexibility.Phase-Locking Value (PLV) is a frequency-domain measure of neural synchronization that quantifies the stability of phase difference between two signals. Introduced by Lachaux and colleagues in 1999, PLV detects phase coupling between brain regions independent of signal amplitude, enabling researchers to characterize functional connectivity from EEG and MEG recordings.
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ScholarGateMethoden vergleichen: Dynamic Functional Connectivity · Phase-Locking Value. Abgerufen am 2026-06-15 von https://scholargate.app/de/compare