Aliza S Alter1, Ravi Dhamija2, Tiffani L McDonough3, Stephie Shen4, Danielle K McBrian5, Arthur M Mandel6, Guy M McKhann7, Neil A Feldstein8, Cigdem I Akman9. 1. Department of Neurology, Division of Child Neurology, New York-Presbyterian Hospital/ Columbia University College of Physicians and Surgeons, 180 Fort Washington Avenue, New York, New York, USA. Electronic address: aliza.alter@childrens.harvard.edu. 2. Department of Neurology, Division of Child Neurology, New York-Presbyterian Hospital/ Columbia University College of Physicians and Surgeons, 180 Fort Washington Avenue, New York, New York, USA. Electronic address: ravi.b.dhamija@gmail.com. 3. Department of Neurology, Division of Child Neurology, New York-Presbyterian Hospital/ Columbia University College of Physicians and Surgeons, 180 Fort Washington Avenue, New York, New York, USA. Electronic address: tiffani.mcdonough.md@gmail.com. 4. Department of Neurology, Division of Child Neurology, New York-Presbyterian Hospital/ Columbia University College of Physicians and Surgeons, 180 Fort Washington Avenue, New York, New York, USA. Electronic address: stephieshen@gmail.com. 5. Department of Neurology, Division of Child Neurology, New York-Presbyterian Hospital/ Columbia University College of Physicians and Surgeons, 180 Fort Washington Avenue, New York, New York, USA. Electronic address: dkm23@cumc.columbia.edu. 6. Department of Neurology, Division of Child Neurology, New York-Presbyterian Hospital/ Columbia University College of Physicians and Surgeons, 180 Fort Washington Avenue, New York, New York, USA. Electronic address: amm28@cumc.columbia.edu. 7. Department of Neurological Surgery, Columbia University College of Physicians and Surgeons, 710 West 168th Street, New York, New York, USA. Electronic address: gm317@cumc.columbia.edu. 8. Department of Neurological Surgery, Columbia University College of Physicians and Surgeons, 710 West 168th Street, New York, New York, USA. Electronic address: naf6@cumc.columbia.edu. 9. Department of Neurology, Division of Child Neurology, New York-Presbyterian Hospital/ Columbia University College of Physicians and Surgeons, 180 Fort Washington Avenue, New York, New York, USA. Electronic address: cia11@cumc.columbia.edu.
Abstract
AIMS: We aimed to classify ictal onset patterns (IOPs) in pediatric patients undergoing intracranial electroencephalography (IEEG) to guide surgery for refractory epilepsy. We aimed to determine if morphology of IOPs can predict surgical outcome. MATERIALS AND METHODS: We performed a retrospective review of pediatric patients who underwent epilepsy surgery guided by subdural IEEG from 2007 to 2016. IEEG seizures were reviewed by a blinded epileptologist. Data was collected on outcomes. RESULTS: Twenty-three patients with 784 seizures were included. Age at seizure onset was 0.2-11 (mean 4.3, standard deviation 3.2) years. Age at time of IEEG was 4-20 (mean 13.5, standard deviation 4.4) years. Five distinct IOPs were seen at seizure onset: A) Low voltage fast activity (LVFA) with spread to adjacent electrodes (n = 7 patients, 30%), B) Burst of LVFA followed by electrodecrement (n = 12 patients, 52%), C) Burst of rhythmic spike waves (RSW) followed by electrodecrement (n = 9 patients, 39%), D) RSW followed by LVFA (n = 7 patients, 30%), E) Rhythmic spikes alone (n = 10 patients, 43%). Twelve patients (52%) had the same IOP type with all seizures. When the area of the IOP was resected, 14 patients (61%) had Engel I outcomes. Patients who had LVFA seen within their predominant IOP type were more likely to have good surgical outcomes (odds ratio 7.50, 95% confidence interval 1.02-55.0, p = 0.05). Patients who had only one IOP type were more likely to have good outcomes than patients who had multiple IOP types (odds ratio 12.6, 95% confidence interval 1.19-134, p = 0.04). Patients who had LVFA in their predominant IOP type were older than patients who did not have LVFA (mean age 15.0 vs. 9.9 years, p = 0.02). CONCLUSIONS: LVFA at ictal onset and all seizures having the same IOP morphology are associated with increased likelihood of surgical success in children, but LVFA is less common in children who are younger at the time of IEEG.
AIMS: We aimed to classify ictal onset patterns (IOPs) in pediatric patients undergoing intracranial electroencephalography (IEEG) to guide surgery for refractory epilepsy. We aimed to determine if morphology of IOPs can predict surgical outcome. MATERIALS AND METHODS: We performed a retrospective review of pediatric patients who underwent epilepsy surgery guided by subdural IEEG from 2007 to 2016. IEEG seizures were reviewed by a blinded epileptologist. Data was collected on outcomes. RESULTS: Twenty-three patients with 784 seizures were included. Age at seizure onset was 0.2-11 (mean 4.3, standard deviation 3.2) years. Age at time of IEEG was 4-20 (mean 13.5, standard deviation 4.4) years. Five distinct IOPs were seen at seizure onset: A) Low voltage fast activity (LVFA) with spread to adjacent electrodes (n = 7 patients, 30%), B) Burst of LVFA followed by electrodecrement (n = 12 patients, 52%), C) Burst of rhythmic spike waves (RSW) followed by electrodecrement (n = 9 patients, 39%), D) RSW followed by LVFA (n = 7 patients, 30%), E) Rhythmic spikes alone (n = 10 patients, 43%). Twelve patients (52%) had the same IOP type with all seizures. When the area of the IOP was resected, 14 patients (61%) had Engel I outcomes. Patients who had LVFA seen within their predominant IOP type were more likely to have good surgical outcomes (odds ratio 7.50, 95% confidence interval 1.02-55.0, p = 0.05). Patients who had only one IOP type were more likely to have good outcomes than patients who had multiple IOP types (odds ratio 12.6, 95% confidence interval 1.19-134, p = 0.04). Patients who had LVFA in their predominant IOP type were older than patients who did not have LVFA (mean age 15.0 vs. 9.9 years, p = 0.02). CONCLUSIONS: LVFA at ictal onset and all seizures having the same IOP morphology are associated with increased likelihood of surgical success in children, but LVFA is less common in children who are younger at the time of IEEG.
Authors: Pariya Salami; Noam Peled; Jessica K Nadalin; Louis-Emmanuel Martinet; Mark A Kramer; Jong W Lee; Sydney S Cash Journal: Clin Neurophysiol Date: 2020-05-29 Impact factor: 3.708