Salīdzināt metodes
Apskatiet izvēlētās metodes blakus; rindas, kas atšķiras, ir izceltas.
| Fāzes sasaistes vērtība× | Dinamiskā funkcionālā savienojamība× | |
|---|---|---|
| Nozare | Neiroattēlveidošana | Neiroattēlveidošana |
| Saime | Process / pipeline | Process / pipeline |
| Izcelsmes gads≠ | 1999 | 2013 |
| Autors≠ | Jean-Philippe Lachaux | Ryan M. Hutchison |
| Tips≠ | EEG/MEG functional connectivity analysis | Resting-state fMRI connectivity pipeline |
| Pirmavots≠ | 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 ↗ | Hutchison, R. M., Womelsdorf, T., Allen, E. A., et al. (2013). Dynamic functional connectivity: promise, problems, and perspectives. NeuroImage, 80, 360–378. link ↗ |
| Citi nosaukumi | PLV, phase synchronization, phase coupling | dFC, time-varying connectivity, sliding window connectivity |
| Saistītās | 3 | 3 |
| Kopsavilkums≠ | 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. | Dynamic 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. |
| ScholarGateDatu kopa ↗ |
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