Epileptic Disorders最新文献

The aim of this study is to report three cases of epilepsy with eyelid myoclonia (EEM) with CHD2 pathogenic variants. A database of 134 patients with EEM evaluated at Mayo Clinic sites was searched to identify patients with CHD2 variants. The medical records of those identified were reviewed to describe their presentation, treatment, and clinical course. Three patients (2 males, 1 female) with EEM were found to harbor de novo CHD2 pathogenic variants (c.2636C>T p.(Ala879Val), c.3734delA p. (Lys1245Asnfs*4), and c.3896delTinsCG p. (Val1299Alafs*5)). All three patients had comorbid autism spectrum disorder (ASD), intellectual disability (ID), and attention deficit disorder (ADHD). Eyelid myoclonia was a prominent seizure type that persisted in the three patients despite trials of multiple antiseizure medications. Generalized tonic-clonic seizures occurred in two of the patients but were controlled with antiseizure medications. Genetic testing should be considered in patients presenting with EEM, especially when ADHD, ID, ASD, and drug-resistant seizures are present. Further understanding of the relationship between CHD2 variants and epileptogenesis may provide important insights into the pathogenesis of EEM.

Developmental and epileptic encephalopathies (DEEs) are severe forms of epilepsy characterized by seizure onset in infancy or childhood. The seizures are typically drug-resistant and often accompanied by significant alterations in the electroencephalogram (EEG). DEEs are associated with neurodevelopmental impairment, which can arise from both the epileptic activity itself and the underlying etiology, which is most often genetic in origin. We present the clinical and molecular features of two patients with DEE associated with a pathogenic variant in the UGDH gene. This gene encodes a protein that converts uridine diphosphate (UDP)-glucose into UDP-glucuronate, which plays a crucial role in the biosynthesis of glycosaminoglycans, essential components of the connective tissue and extracellular matrix. Both patients started with epileptic spasms associated with a pattern of hypsarrhythmia in the EEG at 4 months of age. Both developed global developmental delay and the physical examination revealed hypotonia and mildly dysmorphic features. In both families, there was another affected sibling with a similar clinical presentation, although genetic studies were not performed in one of these children. A homozygous pathogenic variant in the UGDH gene, NM_003359.4:c.131C>T - p.(Ala44Val), previously reported to be associated with the described phenotype, was identified.

Epilepsy care generates multiple sources of high-dimensional data, including clinical, imaging, electroencephalographic, genomic, and neuropsychological information, that are collected routinely to establish the diagnosis and guide management. Thanks to high-performance computing, sophisticated graphics processing units, and advanced analytics, we are now on the cusp of being able to use these data to significantly improve individualized care for people with epilepsy. Despite this, many clinicians, health care providers, and people with epilepsy are apprehensive about implementing Big Data and accompanying technologies such as artificial intelligence (AI). Practical, ethical, privacy, and climate issues represent real and enduring concerns that have yet to be completely resolved. Similarly, Big Data and AI-related biases have the potential to exacerbate local and global disparities. These are highly germane concerns to the field of epilepsy, given its high burden in developing nations and areas of socioeconomic deprivation. This educational paper from the International League Against Epilepsy's (ILAE) Big Data Commission aims to help clinicians caring for people with epilepsy become familiar with how Big Data is collected and processed, how they are applied to studies using AI, and outline the immense potential positive impact Big Data can have on diagnosis and management.

Subclinical rhythmic electrographic discharge of adults (SREDA) is one of the rarest and most challenging non-epileptic electroencephalographic variants. Although the pathogenesis of this activity is unclear, an association with vascular insufficiency and cerebral hypoxia has been proposed. SREDA usually occurs in adulthood, but there are few reports in the pediatric population. We performed a systematic review of the literature, confirming the rarity of this condition in children, and added 5 more subjects. We report on a total of 16 children with SREDA. Sufficient data are available for 15 patients. The mean age at first detection of SREDA was 11.5 years. We observed that 67% (10/15) of the subjects had previous seizures: 80% (8/10) of them had an epilepsy diagnosis and 38% (3/8) had generalized epilepsy. Moreover, 8 of 13 subjects whose medical history was available (61%) had a neurodevelopmental disorder. From an electroencephalographic point of view, we noted a prevalence of bilateral SREDA with atypical localization and abrupt onset and end. Since SREDA can be incorrectly interpreted as an epileptic discharge, with possible therapeutic implications, it is important to consider its possible occurrence also in pediatric patients, perhaps more frequently in those with neurodevelopmental disorders.