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Introduction: Pathogenic truncating variants in SMC1A, which is located on chromosome Xp11.2, are known to cause infantile-onset epilepsy and severe intellectual disability in girls. Several studies have reported a correlation between SMC1A truncations and seizure clustering; however, the associated electroencephalogram (EEG) patterns remain largely unknown.
Case Presentation: We investigated an 12-year-old girl who had developed epilepsy at the age of 4 months. The patient experienced unknown onset, tonic-clonic seizures that occurred in clusters several times a week. Her interictal EEG at the age of 2 years showed paroxysmal, generalized, high-amplitude slow waves, whereas epileptiform discharges were scarce. The patient's interictal EEG gradually deteriorated; at the age of 11 years, diffuse continuous spike-and-wave discharges were predominantly observed in the left temporal region and were particularly obvious in the awake state. Although the unknown onset, tonic seizures occurring weekly persisted under multiple antiepileptic medications, the patient did not experience seizure clustering since the age of 9 years. Whole-genome sequencing revealed a de novo known nonsense variant in SMC1A (c.2923C > T, p.R975*).
Conclusion: Our patient presented with a mild abnormality in the interictal EEG during infancy and early childhood despite frequent seizure clustering. Notably, the patient's EEG findings gradually deteriorated over time, which was inconsistent with the amelioration of seizure clustering.
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http://dx.doi.org/10.1016/j.braindev.2022.04.011 | DOI Listing |
Neural Netw
September 2025
School of Automation, Northwestern Polytechnical University, Xi'an, 710072, Shaanxi, China. Electronic address:
Epilepsy with its complex seizure mechanisms and diverse clinical manifestations, presents numerous challenges for clinical diagnosis and treatment, while electroencephalography (EEG) plays a crucial and irreplaceable role in its diagnosis. Although general-purpose foundation models have demonstrated some capability in knowledge processing, they still face challenges in capturing specific disease features and dealing with data scarcity in highly specialized domains such as epilepsy. To address these issues, we propose a domain-specific foundation model for epilepsy-EpilepsyFM, designed to learn generalized representations of epilepsy to support various downstream tasks.
View Article and Find Full Text PDFAdv Sci (Weinh)
September 2025
Research Institute of Intelligent Complex Systems, Fudan University, Shanghai, 200433, China.
Early-warning signals of delicate design are used to predict critical transitions in complex systems, which makes it possible to render the systems far away from the catastrophic state by introducing timely interventions. Traditional signals including the dynamical network biomarker (DNB), based on statistical properties such as variance and autocorrelation of nodal dynamics, overlook directional interactions and thus have limitations in capturing underlying mechanisms and simultaneously sustaining robustness against noise perturbations. This study therefore introduces a framework of causal network markers (CNMs) by incorporating causality indicators, which reflect the directional influence between variables.
View Article and Find Full Text PDFNeurol Clin Pract
October 2025
Division of Neurology, Department of Pediatrics, Children's Hospital of Philadelphia, PA.
Background And Objectives: Seizure rescue medications are commonly prescribed to patients with epilepsy to treat and prevent clusters of seizures or status epilepticus. Underdosing of rescue medications decreases their efficacy, which may lead to status epilepticus and potentially avoidable emergency department (ED) visits or hospitalizations. In this quality improvement initiative, we aimed to reduce the rate of underdosed rectal diazepam prescriptions for children discharged from the inpatient neurology service at our institution from a baseline of 6% to 3% by July 2023.
View Article and Find Full Text PDFEpilepsy Behav Rep
September 2025
Department of Neurology and Agnes Ginges Center for Human Neurogenetics, Hadassah Medical Organization, Hadassah Ein Kerem, POB12000 Jerusalem, Israel.
The data obtained from stereo-elecroencephalography (SEEG) in patients with focal epilepsy are crucial for defining the epileptogenic zone and achieving successful resection, but suboptimal electrode placement impairs SEEG results. We demonstrate an approach for concurrent scalp and depth EEG analysis from one patient with successful intracranial workup and one in whom the seizure onset zone was unsampled by SEEG. Intracranial epileptiform discharges were identified and clustered, their scalp correlates were averaged, and electric source imaging (ESI) was applied to the resulting averaged scalp potential - depth-to-scalp ESI (dsESI).
View Article and Find Full Text PDFSci Rep
September 2025
Department of Statistics, College of Natural and Computational Sciences, Mizan-Tepi University, Tepi, Ethiopia.
Epilepsy remains a significant global health concern with increasing prevalence and incidence. This study aimed to model the time to first remission among epilepsy patients at Jimma University Medical Center, Ethiopia, using parametric shared frailty models. A retrospective study was conducted on epilepsy patients treated between 1st January 2018 and 30th December 2023.
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