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| 지역적 동질성× | 그래프 뇌 네트워크 분석× | |
|---|---|---|
| 분야 | 신경영상 | 신경영상 |
| 계열 | Process / pipeline | Process / pipeline |
| 기원 연도≠ | 2004 | 2009 |
| 창시자≠ | Yong-He Zang | Ed Bullmore |
| 유형≠ | Resting-state fMRI homogeneity analysis | Brain network graph analysis pipeline |
| 원전≠ | 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 ↗ |
| 별칭≠ | ReHo, regional synchronization | graph theory, brain network analysis, network neuroscience |
| 관련 | 3 | 3 |
| 요약≠ | 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. |
| ScholarGate데이터셋 ↗ |
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