Clinical seizure signs continue to be of central importance to guide diagnosis, classification, treatment and prognosis. Some basic principles guide history-taking and observation in clinical epileptology. The information contained within subjective seizure descriptions can be framed within standardized vocabulary and a classification of ictal signs, seizure types, and the integrated framework of epilepsy syndromes. As illustrative examples, we discuss the historical origins and current research context of Dravet syndrome and Janz syndrome, two genetic epilepsy syndromes. In candidates for epilepsy surgery, ictal signs aid us in identifying the symptomatogenic zone and hence delineating the ictal onset zone. Here, historical reports from Victor Horsley and Hughlings Jackson provide valuable perspective on clinical reasoning. Lastly, the information contained within clinical signs and syndromes presents an indispensable data source in future efforts of large-scale genotype-phenotype correlations and machine learning methods.
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http://dx.doi.org/10.1016/j.seizure.2021.09.019 | DOI Listing |
J Headache Pain
January 2025
Department of Brain and Cognitive Engineering, Korea University, Seoul, Republic of Korea.
Inter-individual variability in symptoms and the dynamic nature of brain pathophysiology present significant challenges in constructing a robust diagnostic model for migraine. In this study, we aimed to integrate different types of magnetic resonance imaging (MRI), providing structural and functional information, and develop a robust machine learning model that classifies migraine patients from healthy controls by testing multiple combinations of hyperparameters to ensure stability across different migraine phases and longitudinally repeated data. Specifically, we constructed a diagnostic model to classify patients with episodic migraine from healthy controls, and validated its performance across ictal and interictal phases, as well as in a longitudinal setting.
View Article and Find Full Text PDFSci Rep
January 2025
Department of Neurosurgery, Affiliated Hospital of Zunyi Medical University, Dalian Road 149, Huichuan District, Zunyi, 563000, Guizhou Province, China.
The aim of the study was to evaluate the concomitant psychiatric disorders of anxiety and depression in patients with epilepsy caused by low-grade brain tumors (LBTs). We retrospectively reviewed the clinical data of patients who underwent preoperative neuropsychological evaluations of anxiety and depression and subsequent epilepsy surgery for LBTs. The univariate and multivariate analyses were conducted to analyze the risk factors of the occurrence of anxiety and depression.
View Article and Find Full Text PDFBMC Med Inform Decis Mak
January 2025
The First Affiliated Hospital, and College of Clinical Medicine of Henan University of Science and Technology, Luoyang, China.
Background: The diagnosis and treatment of epilepsy continue to face numerous challenges, highlighting the urgent need for the development of rapid, accurate, and non-invasive methods for seizure detection. In recent years, advancements in the analysis of electroencephalogram (EEG) signals have garnered widespread attention, particularly in the area of seizure recognition.
Methods: A novel hybrid deep learning approach that combines feature fusion for efficient seizure detection is proposed in this study.
CNS Neurosci Ther
January 2025
School of Information Science and Engineering, Lanzhou University, Lanzhou, China.
Aims: Drug-refractory epilepsy (DRE) refers to the failure of controlling seizures with adequate trials of two tolerated and appropriately chosen anti-seizure medications (ASMs). For patients with DRE, surgical intervention becomes the most effective and viable treatment, but its success rate is unsatisfactory at only approximately 50%. Predicting surgical outcomes in advance can provide additional guidance to clinicians.
View Article and Find Full Text PDFEpileptic Disord
December 2024
Neurology Department, Epilepsy Monitoring Unit, University Emergency Hospital Bucharest, Bucharest, Romania.
We performed a systematic review of the ictal semiology of temporo-frontal seizures with the aim to summarize the state-of-the-art anatomo-clinical correlations in the field, and help guide the interpretation of ictal semiology within the framework of presurgical evaluation. We conducted the systematic review and meta-analysis, and reported its results according to the Preferred Reporting Items for Systematic Review and Meta-Analysis statement. We searched electronic databases (Scopus, PUBMED, Web of Science, and EMBASE) using relevant keywords related to temporal, frontal and sublobar structures, semiology, and electroencephalography/stereoelectroencephalography exploration.
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