Accuracy of a Rapid-Response EEG's Automated Seizure-Burden Estimator: AccuRASE Study.

Background And Objectives: The use of rapid response EEG (rr-EEG) has recently expanded in limited-resource settings and as a supplement to conventional EEG to rapidly detect and treat nonconvulsive status epilepticus. The study objective was to test the accuracy of an rr-EEG's automated seizure burden estimator (ASBE).

Methods: This is a retrospective observational study using multiple blinded reviewers.

Improving Electroencephalography Screening via an Online Module for Neurology Trainees: A Multicenter Study.

Purpose: To investigate the utility of a 15-minute online module to improve the self-confidence and knowledge of neurology trainees when screening an EEG.

Methods: We developed a fast, convenient, and accessible 15-minute online module to teach basic concepts of EEG screening using a five-step approach. To assess the efficacy of the module among neurology trainees, three surveys were developed.

The Association of Broadband Internet Use With Drug Overdose Mortality Rates in the United States: Cross-Sectional Analysis.

Background: The availability and use of broadband internet play an increasingly important role in health care and public health.

Objective: This study examined the associations between broadband internet availability and use with drug overdose deaths in the United States.

Methods: We linked 2019 county-level drug overdose death data in restricted-access multiple causes of death files from the National Vital Statistics System at the US Centers for Disease Control and Prevention with the 2019 county-level broadband internet rollout data from the Federal Communications Commission and the 2019 county-level broadband usage data available from Microsoft's Airband Initiative.

Improving Clinician Performance in Classifying EEG Patterns on the Ictal-Interictal Injury Continuum Using Interpretable Machine Learning.

Background: In intensive care units (ICUs), critically ill patients are monitored with electroencephalography (EEG) to prevent serious brain injury. EEG monitoring is constrained by clinician availability, and EEG interpretation can be subjective and prone to interobserver variability. Automated deep-learning systems for EEG could reduce human bias and accelerate the diagnostic process.

On-demand EEG education through competition - A novel, app-based approach to learning to identify interictal epileptiform discharges.

Objective: Misinterpretation of EEGs harms patients, yet few resources exist to help trainees practice interpreting EEGs. We therefore sought to evaluate a novel educational tool to teach trainees how to identify interictal epileptiform discharges (IEDs) on EEG.

Methods: We created a public EEG test within the iOS app DiagnosUs using a pool of 13,262 candidate IEDs.

Psychiatric changes after stereotactic laser amygdalohippocampotomy for medial temporal lobe epilepsy.

Purpose: Stereotactic laser amygdalohippocampotomy (SLAH) is a minimally invasive surgical treatment for drug-resistant temporal lobe epilepsy (TLE) that has comparable rates of seizure freedom to traditional open resective TLE surgery. The objective of this study was to determine psychiatric outcome (i.e.

Depression and anxiety in caregivers of patients with functional seizures.

Objective: Contrary to patients, the psychological impact of functional seizures to caregivers has not been adequately investigated. This study aimed to evaluate the rates and determinants of depression and anxiety in caregivers of patients with functional seizures.

Methods: Patients with functional seizures and their caregivers completed surveys about demographic, disease-related, and psychosocial characteristics.

Levels of PFAS concentrations in the placenta and pregnancy complications.

Background: Recent research has raised concerns about the potential health effects of perfluoroalkyl and polyfluoroalkyl substances (PFAS) exposure, particularly during critical periods of development such as pregnancy. In this study, we sought to investigate the presence and potential impacts of PFAS in the placenta.

Methods: We measured 13 PFAS compounds in placental tissue samples among 50 women who gave birth at a tertiary medical center in southern Israel.

Withdrawal of antiseizure medications after MRI-Guided laser interstitial thermal therapy in extra-temporal lobe epilepsy.

Purpose: This study investigated the success rate of antiseizure medications (ASMs) withdrawal following MRI Guided Laser Interstitial Thermal Therapy (MRg-LITT) for extra-temporal lobe epilepsy (ETLE), and identified predictors of seizure recurrence.

Methods: We retrospectively assessed 27 patients who underwent MRg-LITT for ETLE. Patients' demographics, disease characteristics, and post-surgical outcomes were evaluated for their potential to predict seizure recurrence associated with ASMs withdrawal.

A global survey on the attitudes of neurologists and psychiatrists about functional/psychogenic/dissociative/nonepileptic-seizures/attacks, in the search of its name.

Purpose: We conducted an observational study to investigate the opinions of neurologists and psychiatrists all around the world who are taking care of patients with seizures [epilepsy and functional seizures (FS)].

Methods: Practicing neurologists and psychiatrists from around the world were invited to participate in an online survey. On 29th September 2022, an e-mail including a questionnaire was sent to the members of the International Research in Epilepsy (IR-Epil) Consortium.

The effect of responsive neurostimulation (RNS) on neuropsychiatric and psychosocial outcomes in drug-resistant epilepsy.

Objective: The impact of responsive neurostimulation (RNS) on neuropsychiatric and psychosocial outcomes has not been extensively evaluated outside of the original clinical trials and post-approval studies. The goal of this study was to ascertain the potential real-world effects of RNS on cognitive, psychiatric, and quality of life (QOL) outcomes in relation to seizure outcomes by examining 50 patients undergoing RNS implantation for drug-resistant epilepsy (DRE).

Methods: We performed a retrospective review of all patients treated at our institution with RNS for DRE with at least 12 months of follow-up.

Normal variants and artifacts: Importance in EEG interpretation.

Overinterpretation of EEG is an important contributor to the misdiagnosis of epilepsy. For the EEG to have a high diagnostic value and high specificity, it is critical to recognize waveforms that can be mistaken for abnormal patterns. This article describes artifacts, normal rhythms, and normal patterns that are prone to being misinterpreted as abnormal.

Development of Expert-Level Classification of Seizures and Rhythmic and Periodic Patterns During EEG Interpretation.

Background And Objectives: Seizures (SZs) and other SZ-like patterns of brain activity can harm the brain and contribute to in-hospital death, particularly when prolonged. However, experts qualified to interpret EEG data are scarce. Prior attempts to automate this task have been limited by small or inadequately labeled samples and have not convincingly demonstrated generalizable expert-level performance.