Comparer des méthodes
Examinez les méthodes sélectionnées côte à côte ; les lignes qui diffèrent sont mises en évidence.
| Homogénéité Régionale× | Analyse des réseaux cérébraux par graphes× | |
|---|---|---|
| Domaine | Neuro-imagerie | Neuro-imagerie |
| Famille | Process / pipeline | Process / pipeline |
| Année d'origine≠ | 2004 | 2009 |
| Auteur d'origine≠ | Yong-He Zang | Ed Bullmore |
| Type≠ | Resting-state fMRI homogeneity analysis | Brain network graph analysis pipeline |
| Source fondatrice≠ | 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 ↗ |
| Alias≠ | ReHo, regional synchronization | graph theory, brain network analysis, network neuroscience |
| Apparentées | 3 | 3 |
| Résumé≠ | 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. |
| ScholarGateJeu de données ↗ |
|
|