Objectives: To investigate the performance of substate classification of children with benign epilepsy with centrotemporal spikes (BECTS) by granger causality density (GCD) based support vector machine (SVM) model. Methods: Forty-two children with BECTS (21 females, 21 males; mean age, 8.6 ± 1.96 years) were classified into interictal epileptic discharges (IEDs; 11 females, 10 males) and non-IEDs (10 females, 11 males) substates depending on presence of central-temporal spikes or not. GCD was calculated on four metrics, including inflow, outflow, total-flow (inflow + outflow) and int-flow (inflow - outflow) connectivity. SVM classifier was applied to discriminate the two substates. Results: The Rolandic area, caudate, dorsal attention network, visual cortex, language networks, and cerebellum had discriminative effect on distinguishing the two substates. Relative to each of the four GCD metrics, using combined metrics could reach up the classification performance (best value; AUC, 0.928; accuracy rate, 90.83%; sensitivity, 90%; specificity, 95%), especially for the combinations with more than three GCD metrics. Specially, combined the inflow, outflow and int-flow metric received the best classification performance with the highest AUC value, classification accuracy and specificity. Furthermore, the GCD-SVM model received good and stable classification performance across 14 dimension reduced data sets. Conclusions: The GCD-SVM model could be used for BECTS substate classification, which might have the potential to provide a promising model for IEDs detection. This may help assist clinicians for administer drugs and prognosis evaluation.

Previous research has demonstrated that patients with a history of organophosphate poisoning tend to have a higher risk of neurological disorder. However, research on the rate of seizure development in patients after organophosphate poisoning is lacking. This study examined whether individuals with organophosphate poisoning have an increased risk of seizures through several years of follow-up.
We conducted a retrospective study on a cohort of 45,060 individuals (9012 patients with a history of organophosphate poisoning and 36,048 controls) selected from the Taiwan National Health Insurance Research Database. The individuals were observed for a maximum of 12 years to determine the rate of new-onset seizure disorder. We selected a comparison cohort from the general population that was randomly frequency-matched by age, sex, and index year and further analyzed the risk of seizures using a Cox regression model adjusted for sex, age, and comorbidities.
During the study period, the risk of seizure development was 3.57 times greater in patients with organophosphate poisoning compared with individuals without, after adjustments for age, sex, and comorbidities. The absolute incidence of seizures was highest in individuals aged 20 to 34 years in both cohorts (adjusted hazard ratio = 13.0, 95% confidence interval = 5.40-31.4). A significantly higher seizure risk was also observed in patients with organophosphate poisoning and comorbidities other than cirrhosis.
This nationwide retrospective cohort study demonstrates that seizure risk is significantly increased in patients with organophosphate poisoning compared with the general population.