We evaluated the clinical characteristics and the electroencephalographic (EEG) findings by long video-EEG monitoring in 64 successive patients with definite nocturnal seizures. Mental state, neurological examination, neuroimaging and EEG background were normal in all patients. Classification of epilepsies was possible in 42 out of 64 (66%) patients according to the revised Classification of Epilepsies and Epileptic Syndromes by the Commission on Classification and Terminology of International League Against Epilepsy (1989). Out of those 42 patients, 33 (79%) had partial epilepsies, while 9 (21%) had generalized epilepsies. Response to antiepileptic drugs was excellent and only 4 (6%) patients had one seizure attack per year, two of them were on two antiepileptic drugs while the others were free of seizure on a single drug during the 2 years of follow-up. It seems that nocturnal seizures in adults form a new distinctive partial epileptic syndrome of a benign entity.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1016/s1059-1311(97)80069-6 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Artificial Intelligence in Pediatric Epilepsy Detection: Balancing Effectiveness With Ethical Considerations for Welfare.
Health Sci Rep
January 2025
Department of Research The Medical Research Circle (MedReC) Goma Democratic Republic of the Congo.
Background And Aim: Epilepsy is a major neurological challenge, especially for pediatric populations. It profoundly impacts both developmental progress and quality of life in affected children. With the advent of artificial intelligence (AI), there's a growing interest in leveraging its capabilities to improve the diagnosis and management of pediatric epilepsy.
View Article and Find Full Text PDFNovel nonsense mutation in gene identified by whole-genome sequencing in infant with epilepsy disorder: A case report.
Heliyon
January 2025
Center for Life Sciences, National Laboratory Astana, Nazarbayev University, Kabanbay Batyr Ave 53, Astana, 010000, Kazakhstan.
Epilepsy is one of the most common neurological disorders affecting approximately 50 million people worldwide. It impacts people of all genders and ages, but evidence suggests a higher incidence rate in children and the elderly. Given that childhood epilepsy has the risk of causing developmental epileptic encephalopathy, which is associated with intellectual, behavioral, and/or motor disabilities, proper assessment of children with new-onset epilepsy at an early stage is essential to prevent threats affecting neurodevelopmental processes.
View Article and Find Full Text PDFVideo-based automatic seizure detection in pharmacoresistant epilepsy: A prospective exploratory study.
Epilepsy Behav
December 2024
Department of Neurosurgery, Örebro University Hospital, Sweden; Department of Neurosurgery and Department of Biomedical and Clinical Sciences, Linköping University, Sweden; School of Medical Sciences, Faulty of Medicine and Health, Örebro University, Sweden.
Objective: The objective of this study was to evaluate the diagnostic yield and clinical utility of an automated AI video-based seizure detection device, Nelli®, (SDD) in pharmacoresistant epilepsy patients. The SDD captures and automatically classifies nocturnal motor behavior suggestive of epileptic seizures or non-epileptic motor behavior of potential clinical value.
Methods: Patients with focal epilepsy and pharmacoresistance referred for inpatient long-term video-EEG monitoring were prospectively recruited.
Risk of recurrence after a first unprovoked seizure with different risk factors: A 10-year prospective cohort study.
Epilepsy Res
November 2024
Department of Neurology, West China Hospital, Sichuan University, 37# Wai Nan Guo Xue Lane, Chengdu 610041, China. Electronic address:
Article Synopsis
- The study aimed to assess the recurrence risk of seizures after a first unprovoked seizure using different analytical approaches and to identify associated risk factors.
- It involved 201 individuals and tracked seizure recurrence rates over time, finding significant rates of recurrence within the first two years.
- Key predictors of recurrence included abnormal EEG findings and prior brain injuries, with notable interactions between these factors increasing the risk even further.*
Update review on SUDEP: Risk assessment, background & seizure detection devices.
Epilepsy Behav
November 2024
Academic Center for Epileptology Kempenhaeghe, Heeze, The Netherlands; Eindhoven University of Technology, Eindhoven, The Netherlands; Department of Neurology, Ghent University Hospital, Ghent, Belgium.
Article Synopsis
- The review examines sudden unexpected death in epilepsy (SUDEP), focusing on risk factors, scoring systems to assess risk, and mechanisms behind SUDEP occurrences.
- Key risk factors include the presence and frequency of generalized tonic-clonic seizures (GTC), with odds ratios indicating significant risk, particularly in specific contexts like bedroom sharing.
- Four main SUDEP risk scoring systems are discussed, highlighting their different designs and the need for further validation in general epilepsy populations, along with proposed mechanisms of SUDEP involving brainstem dysfunction and potential roles of adenosine and serotonin.
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!