To assess the demographic and geographic variations in access time - defined as years between the date of symptom onset and initial date of neurological care - in pediatric patients presenting with staring spells.
We conducted a secondary analysis of a retrospective chart review study from 2011 to 2021. A total of 1,353 staring spell patients, aged 0 to 17.9 years, were analyzed for age, sex, race/ethnicity, insurance, county, average county annual per capita personal income, and access time.
Patients aged 0-2.9 years had the shortest median access time of 0.3 years, compared to 1.2 years in patients aged 3-12.9 years and 1.0 year in patients aged 13-17.9 years. Statistically significant differences were seen based on race/ethnicity and insurance with White patients having shorter access time of 0.5 years compared to Black patients with 1.0 year and self-pay patients having the shortest access time of 0.4 years compared to patients with private insurance (0.7 years). Warren County had the largest annual per capita personal income of $65,855 and access time of 0.5 years compared to Preble county with the least annual per capita personal income of $45,016 and access time of 1.1 years.
Demographic parameters of age, race/ethnicity, insurance, and annual county per capita personal income appeared to be associated with access time to initial neurological care in patients with staring spells. These associations need to be investigated further to ensure timely access to neurological care and to ensure equity in health care.

Numerous types of nonepileptic paroxysmal events, such as syncopes and psychogenic nonepileptic seizures, may imitate epileptic seizures and lead to diagnostic difficulty. Such misdiagnoses may lead to inappropriate treatment in patients that can considerably affect their lives. Electroencephalogram (EEG) is a commonly used tool in assisting diagnosis of epilepsy. Although the appearance of epileptiform discharges (EDs) in EEG recordings is specific for epilepsy diagnosis, only 25%-56% of patients with epilepsy show EDs in their first EEG examination.
In this study, we developed an autoregressive (AR) model prediction error-based EEG classification method to distinguish EEG signals between controls and patients with epilepsy without EDs. Twenty-three patients with generalized epilepsy without EDs in their EEG recordings and 23 age-matched controls were enrolled. Their EEG recordings were classified using AR model prediction error-based EEG features.
Among different classification methods, XGBoost achieved the highest performance in terms of accuracy and true positive rate. The results showed that the accuracy, area under the curve, true positive rate, and true negative rate were 85.17%, 87.54%, 89.98%, and 81.81%, respectively.
Our proposed method can help neurologists in the early diagnosis of epilepsy in patients without EDs and might help in differentiating between nonepileptic paroxysmal events and epilepsy.
EEG AR model prediction errors could be used as an alternative diagnostic marker of epilepsy.

Background Nonepileptic paroxysmal events (NEPEs) present with episodes similar to epileptic seizures but without abnormal electrical discharge on electroencephalogram (EEG). NEPEs are commonly misdiagnosed as epilepsy. Epilepsy is diagnosed on the basis of a detailed history and examination. Emphasis during history to rule out the possibility of NEPE is important. The wrong diagnosis of epilepsy can lead to physical, psychological, and financial harm to the child and the family. Hence, this study was planned. Objective The objective of the study is to evaluate clinical profile, frequency, and spectrum of NEPE in children. Materials and Methods This is a prospective observational study. Patients with NEPE between January 2014 and August 2016 aged < 18 years were enrolled. NEPEs were diagnosed on the basis of history, home video, and EEG recordings. Patients were divided into different categories according to age, specific type of disorder, and system responsible. Patients were followed for their NEPE frequency and outcome. Results A total of 3,660 children presented with paroxysmal events; of them 8% were diagnosed with NEPE. Patients diagnosed with NEPE were classified into three age groups on the basis of their age of onset of symptom; of the total 285 patients, there were 2 neonates (0.7%), 160 infants (56%), and 123 children and adolescents (43.1%). Fifty-eight percent patients were boys. The most common diagnoses were breath-holding spells 113 (39%), followed by syncope 38 (13.3%) and psychogenic nonepileptic seizures 37 (12.9%). About 9 and 5% of patients had concomitant epilepsy and developmental delay, respectively. Conclusions NEPEs account for 8% of paroxysmal events. Most common NEPEs were breath-holding spells among infants and syncope and \"psychogenic nonepileptic seizures\" in children and adolescents.