Table 2.
Top 10 most relevant topological properties of brain regions for Deep Learning classification analysis a
| Topological property | Brain regions | Contributions |
|---|---|---|
| Nodal betweenness | Middle frontal gyrus R | 0.0079 |
| Nodal betweenness | Amygdala L | 0.0078 |
| Nodal betweenness | Supplementary motor area R | 0.0077 |
| Nodal betweenness | Rolandic operculum L | 0.0076 |
| Nodal degree | Middle frontal gyrus R | 0.0075 |
| Nodal degree | Superior parietal gyrus L | 0.0074 |
| Nodal efficiency | Anterior cingulate and paracingulate L | 0.0072 |
| Nodal degree | Median cingulate and paracingulate L | 0.0072 |
| Nodal betweenness | Median cingulate and paracingulate L | 0.0071 |
| Nodal efficiency | Middle frontal gyrus R | 0.0071 |
aAll brain regions are from AAL (automated anatomical labelling)
Abbreviation: R, L right, left hemisphere