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| Analiza fNIRS× | Połączenie funkcjonalne dynamiczne× | |
|---|---|---|
| Dziedzina | Neuroobrazowanie | Neuroobrazowanie |
| Rodzina | Process / pipeline | Process / pipeline |
| Rok powstania≠ | 1993 | 2013 |
| Twórca≠ | Britton Chance | Ryan M. Hutchison |
| Typ≠ | Hemodynamic functional neuroimaging pipeline | Resting-state fMRI connectivity pipeline |
| Źródło pierwotne≠ | Villringer, A., & Dirnagl, U. (1995). Coupling of brain activity and cerebral blood flow: basis of functional neuroimaging. Cerebrovascular and Cerebral Blood Flow Metabolism, 4, 3–22. link ↗ | Hutchison, R. M., Womelsdorf, T., Allen, E. A., et al. (2013). Dynamic functional connectivity: promise, problems, and perspectives. NeuroImage, 80, 360–378. link ↗ |
| Inne nazwy | fNIRS, NIRS, optical neuroimaging | dFC, time-varying connectivity, sliding window connectivity |
| Pokrewne | 3 | 3 |
| Podsumowanie≠ | Functional Near-Infrared Spectroscopy (fNIRS) is an optical neuroimaging method that measures changes in cerebral blood oxygenation non-invasively from the scalp. Developed by Britton Chance and colleagues in the 1990s, fNIRS combines the portability and cost-effectiveness of EEG with the spatial localization advantage of fMRI, enabling brain activity measurement in naturalistic settings. | 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. |
| ScholarGateZbiór danych ↗ |
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