Self‐esteem mediates mental health outcomes in young people with epilepsy

Summary

Objective

To evaluate the extent to which self-esteem mediates the impacts of epilepsy-specific and environmental factors on mental health outcomes in young people with epilepsy.

Methods

A prospective cohort of 480 young people with epilepsy and their families participated in five visits over 28 months. We collected data on clinical seizure burden, cognitive comorbidity, peer and parental support, self-esteem, and self-reported mental health symptoms. We used structural equation modeling to specify and test relationships among these constructs simultaneously. Direct, indirect, and total effects were ...

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Changes in epileptogenicity biomarkers after stereotactic thermocoagulation

Abstract

Objective

Stereo-electroencephalography (SEEG)-guided radiofrequency thermocoagulation (RF-TC) aims at modifying epileptogenic networks to reduce seizure frequency. High-frequency oscillations (HFOs), spikes, and cross-rate are quantifiable epileptogenic biomarkers. In this study, we sought to evaluate, using SEEG signals recorded before and after thermocoagulation, whether a variation in these markers is related to the therapeutic effect of this procedure and to the outcome of surgery.

Methods

Interictal segments of SEEG signals were analyzed in 38 patients during presurgical evaluation. We used an automatized method to quantify the ...

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Seizure detection using wearable sensors and machine learning: Setting a benchmark

Abstract

Objective

Tracking seizures is crucial for epilepsy monitoring and treatment evaluation. Current epilepsy care relies on caretaker seizure diaries, but clinical seizure monitoring may miss seizures. Wearable devices may be better tolerated and more suitable for long-term ambulatory monitoring. This study evaluates the seizure detection performance of custom-developed machine learning (ML) algorithms across a broad spectrum of epileptic seizures utilizing wrist- and ankle-worn multisignal biosensors.

Methods

We enrolled patients admitted to the epilepsy monitoring unit and asked them to wear a wearable sensor ...

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Time to onset of cannabidiol treatment effects in Dravet syndrome: Analysis from two randomized controlled trials

Abstract

Objective

We conducted a post hoc analysis of two randomized controlled trials, GWPCARE1 (NCT02091375) and GWPCARE2 (NCT02224703), to estimate the time to onset of cannabidiol (CBD) treatment effects (seizure reduction and adverse events [AEs]) in patients with Dravet syndrome (DS).

Methods

Patients received either plant-derived highly purified CBD (Epidiolex in the United States; 100 mg/ml oral solution) 10 mg/kg/day (CBD10; GWPCARE2) or 20 mg/kg/day (CBD20; GWPCARE1&2), or matching placebo for 14 weeks. Treatment started at 2.5 mg/kg/day, reached 10 mg/kg/day on Day 7, and went up to 20 mg/kg/day on ...

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Hypercapnic ventilatory response in epilepsy patients treated with VNS: A case‐control study

Abstract

Objective

Central CO2 chemoreception (CCR), a major chemical drive for breathing, can be quantified with a CO2 re-breathing test to measure the hypercapnic ventilatory response (HCVR). An attenuated HCVR correlates with the severity of respiratory dysfunction after generalized convulsive seizures and is a potential biomarker for sudden unexpected death in epilepsy (SUDEP) risk. Vagus nerve stimulation (VNS) may reduce SUDEP risk, but for unclear reasons the risk remains higher during the first 2 years after implantation. The vagus nerve has widespread ...

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Brain state‐dependent high‐frequency activity as a biomarker for abnormal neocortical networks in an epileptic spasms animal model

Abstract

Objective

Epileptic spasms are a hallmark of a severe epileptic state. A previous study showed neocortical up and down states defined by unit activity play a role in the generation of spasms. However, recording unit activity is challenging in clinical settings, and more accessible neurophysiological signals are needed for the analysis of these brain states.

Methods

In the tetrodotoxin model, we used 16-channel microarrays to record electrophysiological activity in the neocortex during interictal periods and spasms. High-frequency activity (HFA) in the frequency range ...

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Value of smartphone videos for diagnosis of seizures: Everyone owns half an epilepsy monitoring unit

Abstract

The diagnosis of epilepsy is primarily based on the history and the verbal description of the events in question. Smartphone videos are increasingly used to assist in the diagnosis. The purpose of this study is to evaluate their value for the diagnosis of seizures. We prospectively collected smartphone videos from patients who presented to our epilepsy center over two years. The video-based diagnosis was then compared to the eventual diagnosis based on video-electroencephalographic (EEG) monitoring with recorded episodes. Video-EEG studies and ...

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Long‐term safety of adjunctive cenobamate in patients with uncontrolled focal seizures: Open‐label extension of a randomized clinical study

Summary

Objective

This study was undertaken to examine long-term (up to 7.8 years) retention rate, safety, and tolerability of the antiseizure medication (ASM) cenobamate as adjunctive treatment in the open-label extension (OLE) of study YKP3089C013 (C013; ClinicalTrials.gov: NCT01397968).

Methods

Patients who completed the 12-week, multicenter, multinational, double-blind, randomized, placebo-controlled C013 study, which examined adjunctive cenobamate treatment of adults with uncontrolled focal seizures, were eligible to enroll in the OLE. During the OLE, dose adjustments of cenobamate and concomitant ASMs were allowed. Safety assessments included frequency of ...

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Adult onset epilepsy is defined by phenotypic clusters with unique comorbidities and risks of death

Abstract

Objective

This study was undertaken to identify clusters of adult onset epilepsy with distinct comorbidities and risks of early and late death.

Methods

This was a retrospective open cohort study that included all adults meeting a case definition for epilepsy after the Acceptable Mortality Recording date in the Health Improvement Network database for the years 2000–2012 inclusive. Unsupervised agglomerative hierarchical clustering was performed to identify unique clusters of patients based on their predicted risk of early (<4 years of epilepsy diagnosis) and late (≥4 years ...

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