Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Анализ fNIRS× | Динамическая функциональная связность× | |
|---|---|---|
| Область | Нейровизуализация | Нейровизуализация |
| Семейство | Process / pipeline | Process / pipeline |
| Год появления≠ | 1993 | 2013 |
| Автор метода≠ | Britton Chance | Ryan M. Hutchison |
| Тип≠ | Hemodynamic functional neuroimaging pipeline | Resting-state fMRI connectivity pipeline |
| Основополагающий источник≠ | 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 ↗ |
| Другие названия | fNIRS, NIRS, optical neuroimaging | dFC, time-varying connectivity, sliding window connectivity |
| Связанные | 3 | 3 |
| Сводка≠ | 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. |
| ScholarGateНабор данных ↗ |
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