Publications by authors named "Laurence Chaton"
Objective: There is currently scarce data on the electroclinical characteristics of epilepsy associated with synapsin 1 (SYN1) pathogenic variations. We examined clinical and electro-encephalographic (EEG) features in patients with epilepsy and SYN1 variants, with the aim of identifying a distinctive electroclinical pattern.
Methods: In this retrospective multicenter study, we collected and reviewed demographic, genetic, and epilepsy data of 19 male patients with SYN1 variants.
Objective: The study aimed to address the challenge of early assessment of neonatal hypoxic-ischemic encephalopathy (HIE) severity to identify candidates for therapeutic hypothermia (TH). The objective was to develop an automated classification model for neonatal EEGs, enabling accurate HIE severity assessment 24/7.
Methods: EEGs recorded within 6 h of life after perinatal anoxia were visually graded into 3 severity groups (HIE French Classification) and quantified using 6 qEEG markers measuring amplitude, continuity and frequency content.
Objectives: Controlled therapeutic hypothermia (CTH) is a standard of care in the management of neonatal hypoxic-ischemic encephalopathy HIE in newborns after 36 weeks of gestational age (WGA) in France. The electroencephalogram (EEG) plays a major role in HIE diagnosis and follow-up. We conducted a French national survey on the current use of EEG in newborn undergoing CTH.
View Article and Find Full Text PDFIntroduction: Various neurologic manifestations have already been described in children during or after severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections. The central nervous system disorders reported in children are mainly encephalopathies during multisystem inflammatory syndrome. We present here an acute meningoencephalitis with cerebral vasculitis associated to a coronavirus disease 2019 (COVID-19) infection in a 13-year-old girl with a 1-year clinical, electroencephalogram (EEG), and magnetic resonance imaging (MRI) follow-up.
View Article and Find Full Text PDFObjectives: Our objective was to evaluate the potential additional value of electroencephalogram (EEG) and evoked potentials in neonates with hypoxic-ischemic encephalopathy to predict their disability at 1 and 2 years old.
Methods: 30 full-term infants after perinatal asphyxia who underwent therapeutic hypothermia were evaluated at 1 year and 2 years for disability using International Classification of Functioning, Disability and Health classification. Scores for EEG, sensory evoked potentials and brainstem auditory evoked potentials were evaluated after withdrawal of therapeutic hypothermia that lasted 72 h.
CACNA1A pathogenic mutations are involved in various neurological phenotypes including episodic ataxia (EA2), spinocerebellar ataxia (SCA6), and familial hemiplegic migraine (FHM1). Epilepsy is poorly documented. We studied 18 patients (10 males) carrying de novo or inherited CACNA1A mutations, with median age of 2,5 years at epilepsy onset.
View Article and Find Full Text PDFArticle Synopsis
- - The study aimed to analyze EEG patterns in critically ill COVID-19 patients suspected of having encephalopathy and how these patterns relate to their clinical outcomes.
- - Of the 33 patients analyzed, abnormal EEG findings included slowed activity in 85% of cases, with significant associations noted between unreactive patterns and poor clinical outcomes at 14 days.
- - The research suggests that the specific EEG abnormalities observed may indicate encephalopathy and are useful in predicting short-term recovery in COVID-19 patients.
Article Synopsis
- The study aimed to identify key quantitative measures from conventional EEGs that can help classify the severity of neonatal hypoxic-ischemic encephalopathy (HIE) shortly after birth.
- Researchers analyzed 90 EEGs from full-term infants, categorizing them into three groups based on HIE severity and finding that six specific EEG parameters could differentiate between these groups with up to 70% accuracy.
- The findings suggest that these EEG measures can serve as important early indicators of HIE severity, and the lack of difference in pH and lactate levels highlights the importance of using EEG for better clinical assessment.
Background: Cognitive symptoms are common in patients with Parkinson's disease. Characterization of a patient's cognitive profile is an essential step toward the identification of predictors of cognitive worsening.
Objective: The aim of this study was to investigate the use of the combination of resting-state EEG and data-mining techniques to build characterization models.