Introduction: Despite all the efforts for optimizing epilepsy management in children over the past decades, there is no clear consensus regarding whether to treat or not to treat epileptiform discharges (EDs) after a first unprovoked seizure or the optimal duration of therapy with anti-seizure medication (ASM). It is therefore highly needed to find markers on scalp electroencephalogram (EEG) that can help identify pathological EEG discharges that require treatment.
Aim Of The Study: This retrospective study aimed to identify whether the coexistence of ripples/high-frequency oscillations (HFOs) with interictal EDs (IEDs) in routinely acquired scalp EEG is associated with a higher risk of seizure recurrence and could be used as a prognostic marker.
Methods: 100 children presenting with new onset seizure to Children's Medical Center- Dallas during 2015-2016, who were not on ASM and had focal EDs on an awake and sleep EEG recorded with sample frequency of 500 HZ, were randomly identified by database review. EEGs were analyzed blinded to the data of the patients. HFOs were visually identified using review parameters including expanded time base and adjusted filter settings.
Results: The average age of patients was 6.3 years (±4.35 SD). HFOs were visually identified in 19% of the studied patients with an inter-rater reliability of 99% for HFO negative discharges and 78% agreement for identification of HFOs. HFOs were identified more often in the younger age group; however, they were identified in 11% of patients >5 years old. They were more frequently associated with spikes than with sharp waves and more often with higher amplitude EDs. Patients with HFOs were more likely to have a recurrence of seizures in the year after the first seizure ( < 0.05) and to continue to have seizures after 2 years ( < 0.0001). There was no statistically significant difference between the two groups with regards to continuing ASM after 2 years.
Conclusion: Including analysis for HFOs in routine EEG interpretation may increase the yield of the study and help guide the decision to either start or discontinue ASM. In the future, this may also help to identify pathological discharges with deleterious effects on the growing brain and set a new target for the management of epilepsy.
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http://dx.doi.org/10.3389/fnhum.2021.709836 | DOI Listing |
Sensors (Basel)
January 2025
Department of Electrical and Electronic Engineering, Imperial College London, London SW7 2AZ, UK.
A generative adversarial network (GAN) makes it possible to map a data sample from one domain to another one. It has extensively been employed in image-to-image and text-to image translation. We propose an EEG-to-EEG translation model to map the scalp-mounted EEG (scEEG) sensor signals to intracranial EEG (iEEG) sensor signals recorded by foramen ovale sensors inserted into the brain.
View Article and Find Full Text PDFJ Clin Med
January 2025
Department of Developmental Neuroscience, IRCCS Stella Maris Foundation, 56128 Pisa, Italy.
The literature suggests the existence of an association between autism spectrum disorders (ASDs) and subclinical electroencephalographic abnormalities (SEAs), which show a heterogeneous prevalence rate (12.5-60.7%) within the pediatric ASD population.
View Article and Find Full Text PDFProg Neurobiol
January 2025
Institute of Biomedical Investigations August Pi i Sunyer (IDIBAPS), Systems Neuroscience, 08036 Barcelona, Spain; Institució Catalana de Recerca i Estudis Avançats (ICREA), 08010 Barcelona, Spain. Electronic address:
Elucidating human cerebral cortex function is essential for understanding the physiological basis of both healthy and pathological brain states. We obtained extracellular local field potential recordings from cortical slices of neocortical tissue from refractory epilepsy patients. Multi-electrode recordings were combined with histological information, providing a two-dimensional spatiotemporal characterization of human cortical dynamics in control conditions and following modulation of the excitation/inhibition balance.
View Article and Find Full Text PDFCurr Neuropharmacol
January 2025
Departments of Neurology & Neurosurgery, and Physiology, Montreal Neurological Institute-Hospital, McGill University, 3801 University Street, Montréal, Québec, H3A 2B4, Canada.
Background: Catamenial epilepsy, which is defined as a periodicity of seizure exacerbation occurring during the menstrual cycle, has been reported in up to 70% of epileptic women. These seizures are often non-responsive to medication and our understanding of the relation between menstrual cycle and seizure generation (i.e.
View Article and Find Full Text PDFEpilepsy Behav
January 2025
Department of Neurology, West China Hospital, Sichuan University, Chengdu, Sichuan, China. Electronic address:
Purpose: Late-onset epilepsy (LOE) usually refers to the development of epilepsy at the age of 50 years or older. Approximately 20 % of LOE cases are diagnosed as late-onset epilepsy of unknown etiology (LOUE) due to a lack of an identifiable cause. The aim of this study was to investigate the clinical features, seizure and cognitive outcomes of patients with LOUE in West China.
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