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Diagnostic clues in herpes encephalitis following radiation therapy.
J Neurol Sci
January 2025
The Gaffin Center for Neuro-Oncology, Sharett Institute of Oncology, Hadassah Medical Center, and Faculty of Medicine, The Hebrew University of Jerusalem, Israel. Electronic address:
Introduction: Herpes encephalitis is known to affect patients undergoing brain radiotherapy, but early diagnosis and treatment, the foremost determinants of disease outcome, remain challenging in this patient population. This can be due to attribution of symptoms to the brain tumor and radiation side effects, as well as patients' atypical clinical presentation. Here we sought to highlight pearls and pitfalls in the clinical course and diagnostic workup which may facilitate timely diagnosis and improve disease outcome.
View Article and Find Full Text PDFCirculating microRNAs as Biomarkers of Various Forms of Epilepsy.
Med Sci (Basel)
January 2025
Department of Medical Genetics, Clinical Neurophysiology of Postgraduate Education, V.F. Voyno-Yasenetsky Krasnoyarsk State Medical University, Russian National Research, Krasnoyarsk 660022, Russia.
: Epilepsy is a group of disorders characterized by a cluster of clinical and EEG signs leading to the formation of abnormal synchronous excitation of neurons in the brain. It is one of the most common neurological disorders worldwide; and is characterized by aberrant expression patterns; both at the level of matrix transcripts and at the level of regulatory RNA sequences. Aberrant expression of a number of microRNAs can mark a particular epileptic syndrome; which will improve the quality of differential diagnosis.
View Article and Find Full Text PDFArtificial 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 PDFEeg Microstates and Balance Parameters for Stroke Discrimination: A Machine Learning Approach.
Brain Topogr
January 2025
Aging and Neuroscience Laboratory (LABEN), Federal University of Paraíba, João Pessoa, PB, Brazil.
Electroencephalography microstates (EEG-MS) show promise to be a neurobiological biomarker in stroke. Thus, the aim of the study was to identify biomarkers to discriminate stroke patients from healthy individuals based on EEG-MS and clinical features using a machine learning approach. Fifty-four participants (27 stroke patients and 27 healthy age and sex-matched controls) were recruited.
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