Generate representative functional connectivity (FC) and BOLD timeseries based on demographic and phenotype data, created via VAE.
These FCs are not from real subjects. They do not identify any particular person.
Download PNC model - BSNIP model as Python pickled dictionaries.
Check server/gen.py to see how model weights are used.
| Brain Functional Network | |
| 0 | Somatomotor Hand |
| 1 | Somatomotor Mouth |
| 2 | Cingulo-opercular |
| 3 | Auditory |
| 4 | Default Mode |
| 5 | Memory |
| 6 | Visual |
| 7 | Frontoparietal |
| 8 | Salience |
| 9 | Subcortical |
| 10 | Ventral Attention |
| 11 | Dorsal Attention |
| 12 | Cerebellar |
| 13 | Uncertain |