Salīdzināt metodes
Apskatiet izvēlētās metodes blakus; rindas, kas atšķiras, ir izceltas.
| Reģionālā homogenitāte× | Smadzeņu tīklu grafu analīze× | |
|---|---|---|
| Nozare | Neiroattēlveidošana | Neiroattēlveidošana |
| Saime | Process / pipeline | Process / pipeline |
| Izcelsmes gads≠ | 2004 | 2009 |
| Autors≠ | Yong-He Zang | Ed Bullmore |
| Tips≠ | Resting-state fMRI homogeneity analysis | Brain network graph analysis pipeline |
| Pirmavots≠ | Zang, Y. F., He, Y., Zhu, C. Z., et al. (2004). Altered baseline brain activity in children with ADHD revealed by resting-state functional MRI. Brain and Development, 26(7), 429–439. link ↗ | Bullmore, E., & Sporns, O. (2009). Complex brain networks: graph theoretical analysis of structural and functional systems. Nature Reviews Neuroscience, 10(3), 186–198. DOI ↗ |
| Citi nosaukumi≠ | ReHo, regional synchronization | graph theory, brain network analysis, network neuroscience |
| Saistītās | 3 | 3 |
| Kopsavilkums≠ | Regional Homogeneity (ReHo) is a measure of synchronization between a voxel and its spatial neighbors in resting-state fMRI. Introduced by Zang and colleagues in 2004, ReHo quantifies local within-cluster activity coherence, reflecting the degree to which brain regions exhibit synchronized spontaneous activity at rest. | Graph Theoretical Brain Network Analysis applies network science to understand brain organization, treating the brain as a complex network of interconnected nodes (regions) and edges (connections). Formalized by Bullmore and Sporns in 2009, graph analysis reveals fundamental organizational principles—modularity, efficiency, resilience—that characterize healthy and diseased brains. |
| ScholarGateDatu kopa ↗ |
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