Stereo-electroencephalography Performance in Bilateral Independent/Unclear Scalp Seizures
Soni, A. J.; Burbano, M. C.; Couper, R. G.; Espino, P. H.; Perez, J. A.; Persad, A.; Alorabi, K.; Nambiar, P. N.; Thurairajah, A.; Diosy, D.; Jones, M.-L.; Suller Marti, A.; MacDougall, K. W.; Lau, J.; Steven, D. A.; Burneo, J. G.; Pellegrino, G.
Show abstract
Scalp electroencephalography (EEG) may reveal bilateral independent or unclear (BI/U) ictal onset patterns in patients with focal drug-resistant epilepsy, presenting a challenge to surgical decision-making. The utility of stereo-electroencephalography (SEEG) in this subgroup, particularly the probability of delineating a single seizure onset zone (SOZ) that would permit curative resection, remains poorly understood. This study examined whether BI/U scalp EEG findings could predict SEEG outcomes in this population. We conducted a retrospective cohort study of consecutive patients with focal drug-resistant epilepsy and BI/U ictal onset on scalp EEG who underwent SEEG evaluation at the London Health Sciences Centre (Ontario, Canada) between January 2012 and December 2024. All patients had undergone non-invasive and invasive presurgical assessments. Surgical outcomes were determined using the Engel classification following at least one year of postoperative follow-up. A blinded decision validation sub-study was also performed. Blinded to actual outcomes, the team made decisions regarding SEEG and surgical interventions when patients found to have a single SEEG SOZ were presented. Responses were stratified to inform the added diagnostic value of SEEG. Of 255 SEEG cases screened, 84 patients (33%) met inclusion criteria. The cohort was 56% female, with a median seizure onset age of 12 years (IQR 6-20); 65.5% had temporal lobe epilepsy (TLE). A single SOZ was identified in 14.3% of cases (TLE: 14.5%, extratemporal: 13.8%). Patients with a single SEEG SOZ were found to have shorter recording durations (mean of 11 vs 15.79 days in those with multifocal SEEG SOZs; p=0.009). Curative focal resections were performed in 12% (n=10), with long-term Engel I outcomes achieved in one patient (1.2%). Palliative resections occurred in 26% (n=22), with Engel I outcomes in 7% (n=6). In 50% of the blinded cases, the epilepsy surgery team reported that they would not have recommended SEEG based on phase I data. These findings suggest that patients with BI/U scalp EEG SOZs may be associated with a low likelihood of identifying a single SEEG SOZ and curative outcome. Using BI/U scalp EEG ictal onset as a predictor in preoperative decision-making will assist in refining SEEG candidate selection in this large subgroup.
Matching journals
The top 3 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Uncovering Spatiotemporal Dynamics of the Corticothalamic Network during Seizures 95%
- Multi-centre Epilepsy Lesion Detection (MELD) Project: Predictors of lesion location and postsurgical seizure freedom in focal cortical dysplasia 95%
- Automatic Responsiveness Testing in Epilepsy with Wearable Technology: The ARTiE Watch 95%
Similar papers in this journal
- Noninvasive Brain Stimulation as Focal Epilepsy Treatment in the Hospital, Clinic, and Home 96%
- Frequency of and factors associated with antiseizure medication discontinuation discussions and decisions in patients with epilepsy: a multicenter retrospective chart review 95%
- Efficacy of Naloxone in reducing hypoxemia and duration of immobility following focal to bilateral tonic-clonic seizures 93%
Similar papers in this journal
Similar papers in this journal
- The proportion of seizure onset zone contacts resected is not associated with outcome following SEEG-guided resective epilepsy surgery in children 99%
- Ambulatory Video EEG extended to 10 days: A retrospective review of a large database of ictal events 96%
- Internal and External Validation of Comprehensive High-Frequency Activity Biomarkers for Epilepsy Surgery 95%
Similar papers in this journal
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.