方法证据记录
Graph Brain Network Analysis
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.
源记录
引文逐字复制自方法源记录。这些引文不代表任何层级的验证。
Graph Theoretical Brain Network Analysis
分类方法记录 · process-pipeline / neuroimaging
- Bullmore, E., & Sporns, O. (2009). Complex brain networks: graph theoretical analysis of structural and functional systems. Nature Reviews Neuroscience, 10(3), 186–198. · DOI 10.1038/nrn2575
- Rubinov, M., & Sporns, O. (2010). Complex network measures of brain connectivity: uses and interpretations. NeuroImage, 52(3), 1059–1069. · DOI 10.1016/j.neuroimage.2009.10.003
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