Comparar métodos
Examine os métodos selecionados lado a lado; as linhas que diferem ficam destacadas.
| Valor de Travamento de Fase× | Análise de Redes Cerebrais por Grafos× | |
|---|---|---|
| Área | Neuroimagem | Neuroimagem |
| Família | Process / pipeline | Process / pipeline |
| Ano de origem≠ | 1999 | 2009 |
| Autor original≠ | Jean-Philippe Lachaux | Ed Bullmore |
| Tipo≠ | EEG/MEG functional connectivity analysis | Brain network graph analysis pipeline |
| Fonte seminal≠ | Lachaux, J. P., Rodriguez, E., Martinerie, J., & Varela, F. J. (1999). Measuring phase synchrony in brain signals. Human Brain Mapping, 8(4), 194–208. DOI ↗ | Bullmore, E., & Sporns, O. (2009). Complex brain networks: graph theoretical analysis of structural and functional systems. Nature Reviews Neuroscience, 10(3), 186–198. DOI ↗ |
| Outros nomes | PLV, phase synchronization, phase coupling | graph theory, brain network analysis, network neuroscience |
| Relacionados | 3 | 3 |
| Resumo≠ | Phase-Locking Value (PLV) is a frequency-domain measure of neural synchronization that quantifies the stability of phase difference between two signals. Introduced by Lachaux and colleagues in 1999, PLV detects phase coupling between brain regions independent of signal amplitude, enabling researchers to characterize functional connectivity from EEG and MEG recordings. | 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. |
| ScholarGateConjunto de dados ↗ |
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