ScholarGate
Assistent

Methoden vergelijken

Bekijk de geselecteerde methoden naast elkaar; rijen die verschillen zijn gemarkeerd.

Dynamische Functionele Connectiviteit×Phase-Locking Value×
VakgebiedNeuro-imagingNeuro-imaging
FamilieProcess / pipelineProcess / pipeline
Jaar van ontstaan20131999
GrondleggerRyan M. HutchisonJean-Philippe Lachaux
TypeResting-state fMRI connectivity pipelineEEG/MEG functional connectivity analysis
Oorspronkelijke bronHutchison, 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 ↗
AliassendFC, time-varying connectivity, sliding window connectivityPLV, phase synchronization, phase coupling
Verwant33
SamenvattingDynamic 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.
ScholarGateGegevensset
  1. v1
  2. 2 Bronnen
  3. PUBLISHED
  1. v1
  2. 2 Bronnen
  3. PUBLISHED

Naar zoeken Dia's downloaden

ScholarGateMethoden vergelijken: Dynamic Functional Connectivity · Phase-Locking Value. Geraadpleegd op 2026-06-15 via https://scholargate.app/nl/compare