विधियों की तुलना करें
चुनी हुई विधियों की आमने-सामने समीक्षा करें; भिन्नता वाली पंक्तियाँ रेखांकित हैं।
| फेज-लॉकिंग वैल्यू× | Graph Brain Network Analysis× | |
|---|---|---|
| क्षेत्र | तंत्रिका प्रतिबिंबन | तंत्रिका प्रतिबिंबन |
| परिवार | Process / pipeline | Process / pipeline |
| उद्भव वर्ष≠ | 1999 | 2009 |
| प्रवर्तक≠ | Jean-Philippe Lachaux | Ed Bullmore |
| प्रकार≠ | EEG/MEG functional connectivity analysis | Brain network graph analysis pipeline |
| मौलिक स्रोत≠ | 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 ↗ |
| उपनाम | PLV, phase synchronization, phase coupling | graph theory, brain network analysis, network neuroscience |
| संबंधित | 3 | 3 |
| सारांश≠ | 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. |
| ScholarGateडेटासेट ↗ |
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