Edge inference: Comparison between the mean accuracy of the complete network versus the MST network
| Modality . | Weighted network . | MST network . |
|---|---|---|
| MEG delta | 3.8% | 73.5% |
| MEG theta | 3.8% | 73.7% |
| MEG lower alpha | 3.8% | 69.7% |
| MEG upper alpha | 3.8% | 74.1% |
| MEG beta | 3.7% | 68.0% |
| MEG gamma | 3.9% | 75.1% |
| rsfMRI | 4.9% | 73.5% |
| dMRI | 3.6% | 85.7% |
| Average | 3.9% | 74.2% |
| Modality . | Weighted network . | MST network . |
|---|---|---|
| MEG delta | 3.8% | 73.5% |
| MEG theta | 3.8% | 73.7% |
| MEG lower alpha | 3.8% | 69.7% |
| MEG upper alpha | 3.8% | 74.1% |
| MEG beta | 3.7% | 68.0% |
| MEG gamma | 3.9% | 75.1% |
| rsfMRI | 4.9% | 73.5% |
| dMRI | 3.6% | 85.7% |
| Average | 3.9% | 74.2% |
Note. Accuracy represents percentage of edges where p < 0.05. For the full weighted network, the mean accuracy is lower than 5% for all modalities; for the MSTs, the mean accuracy is greater than 67% for all modalities. MST = minimum spanning tree; MEG = magnetoencephalography; rsfMRI = resting-state functional MRI; dMRI = diffusion MRI.