مقایسهٔ روشها
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| تحلیل شبکه مغزی با استفاده از نظریه گراف× | تحلیل الگوی چندمتغیره× | |
|---|---|---|
| حوزه | تصویربرداری عصبی | تصویربرداری عصبی |
| خانواده | Process / pipeline | Process / pipeline |
| سال پیدایش≠ | 2009 | 2001 |
| پدیدآور≠ | Ed Bullmore | James V. Haxby |
| نوع≠ | Brain network graph analysis pipeline | fMRI pattern classification pipeline |
| منبع بنیادین≠ | Bullmore, E., & Sporns, O. (2009). Complex brain networks: graph theoretical analysis of structural and functional systems. Nature Reviews Neuroscience, 10(3), 186–198. DOI ↗ | Norman, K. A., Polyn, S. M., Detre, G. J., & Haxby, J. V. (2006). Beyond mind-reading: multi-voxel pattern analysis of fMRI data. Trends in Cognitive Sciences, 10(9), 424–430. DOI ↗ |
| نامهای دیگر | graph theory, brain network analysis, network neuroscience | MVPA, brain decoding, pattern classification |
| مرتبط | 3 | 3 |
| خلاصه≠ | 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. | Multivariate Pattern Analysis (MVPA) is a machine learning approach to fMRI that decodes cognitive states, stimuli, or behavior from whole-brain spatial patterns of neural activity. Pioneered by Haxby and colleagues in 2001, MVPA treats fMRI as a classification problem: can a trained decoder predict what a person is perceiving or thinking based solely on their brain activity pattern? |
| ScholarGateمجموعهداده ↗ |
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