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Although the association between dementia such as Alzheimer's disease and traumatic brain injury (TBI) is well established, there are significant knowledge gaps with respect to the perspective of dementia and epilepsy without TBI. We aimed to investigate the relationship between dementia and epilepsy in a population-based study of patients without history of TBI. This study included a random sample of 30,715 patients with no history of TBI, including 6143 with epilepsy as the study cohort and 24,572 without epilepsy as the comparison cohort.

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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.

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Background And Aim: To date, there is no treatment to prevent the development of temporal lobe epilepsy, the most common form of drug-resistant epilepsy. A recent study revealed the antiepileptic-like effect of the aqueous extract of . Given the potential of this extract, the antiepileptogenic- and learning and memory-facilitating-like effects of the aqueous extract of were assessed using the kainate-induced post- model.

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Modulation of in vitro Network Activity by Optogenetic Stimulation of Parvalbumin-positive Interneurons During Estrous Cycle.

Curr 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.

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Objective: This study aimed to establish an optimal model based on machine learning (ML) to predict Valproic acid (VPA) trough concentrations in Chinese adult epilepsy patients.

Methods: A single-center retrospective study was carried out at the Jinshan Hospital affiliated with Fudan University from January 2022 to December 2023. A total of 102 VPA trough concentrations were split into a derivation cohort and a validation cohort at a ratio of 8:2.

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