Table 1.
Patient characteristics and postsurgical seizure outcome. We “predict” seizure outcome for each patient based on resection of the HFO area that was delineated by the Morphology Detector31 and the hardware SNN of our system. The hardware SNN prediction was correct in 7/9 patients.
| Patient | Histology/Pathology | Intervals of 5 min | Test-retest intervals | Outcome (ILAE) | Follow-up (months) | Morphology Detector prediction | Hardware SNN prediction |
|---|---|---|---|---|---|---|---|
| 1 | HS | 28 | 0.95 | 1 | 12 | TN | TN |
| 2 | Glioma | 13 | 0.97 | 1 | 29 | TN | TN |
| 3 | HS | 39 | 0.83 | 1 | 13 | TN | TN |
| 4 | HS | 34 | 0.96 | 1 | 41 | TN | TN |
| 5 | HS | 35 | 0.91 | 1 | 14 | TN | TN |
| 6 | HS | 35 | 0.59 | 1 | 11 | TN | TN |
| 7 | HS | 1 | — | 3 | 42 | FN | FN |
| 8 | HS | 16 | 0.74 | 3 | 15 | FN | TP |
| 9 | HS | 12 | 0.90 | 5 | 46 | FN | FN |
HS hippocampal sclerosis; ILAE seizure outcome classification of the International League Against Epilepsy.