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Background: Temporal lobe epilepsy associated with hippocampal sclerosis (TLE-HS) is a surgically treatable epileptic syndrome. While the core of pre-surgical evaluations rely on video-EEG, recent studies question the necessity of recorded seizures denying a possible role of ictal EEG in surgical decision. This study aims to retrospectively assess the prognostic value of EEG ictal patterns in TLE-HS, in order to identify which patients need further investigations before offering surgery.
Methods: We included TLE-HS patients who underwent surgery with at least one captured seizure during non-invasive pre-surgical video-EEG recordings. They were classified in "mesial" and "lateral/mixed", according to the ictal EEG patterns, defined by the frequency of the discharge (mesial ≥ 5 Hz, lateral < 5 Hz). Seizure outcome was assessed by Engel's Class. Statistical analyses were performed to evaluate associations between EEG patterns and post-surgical outcomes.
Results: Sixty-nine exhibited a mesial pattern, forty- two displayed lateral/mixed patterns. Mesial pattern group had a significantly higher rate of postsurgical seizure freedom (82.7% vs. 28.6%). Gender, age of onset, age at surgery, duration of epilepsy, seizure frequency, and lateralization did not influence the outcome. Mesial pattern significantly correlated with favorable outcomes (p < 0.001), suggesting its potential predictive value.
Conclusion: This retrospective study proposes ictal EEG patterns as possible predictors of postoperative prognosis in TLE-HS. A mesial pattern correlates with better outcomes, indicating a potentially more circumscribed epileptogenic zone. Patients with lateral/mixed patterns may benefit from additional investigations to delineate the epileptogenic zone. Further studies are warranted to validate and extend these findings.
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http://dx.doi.org/10.1007/s10072-024-07564-y | DOI Listing |
Comput Methods Biomech Biomed Engin
September 2025
School of Intelligent Manufacturing, Longdong University, Qingyang, Gansu, P. R. China.
This paper proposes a spatiotemporal feature fusion method for automatic epileptic seizure detection, integrating Common Spatial Pattern (CSP) and Least Squares Support Vector Machine (LSSVM). First, it reconstructs electroencephalogram (EEG) noise using Ensemble Empirical Mode Decomposition (EEMD), then decomposes the original EEG signals using improved EEMD (IEEMD). Next, features are extracted from temporal and spatial dimensions to form a feature set.
View Article and Find Full Text PDFFront Neurol
August 2025
Department of Neurology, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, China International Science and Technology Cooperation Base of Child Development an
Objectives: To identify and quantify clonic seizures in children, we retrospectively reviewed the clinical symptoms and neurophysiology of them.
Methods: Data were obtained from 24 patients presenting with 34 clonic seizures, and their video-electroencephalography (EEG) recordings were examined for symptomatology and ictal EEG characteristics. Additionally, synchronous electromyography (EMG) data from 17 patients were analyzed.
Clin EEG Neurosci
September 2025
Department of Neurology, EMAR Medical Center, Istanbul, Turkey.
ObjectiveTo present a case of epileptic palinopsia successfully treated with lamotrigine and systematically review EEG findings, clinical features, and treatment outcomes of epileptic palinopsia.MethodsWe report a 58-year-old male with right occipital hemorrhage who developed seizures characterized by palinoptic phenomena four years post-injury. A systematic review of available cases was conducted using PRISMA guidelines and multiple databases (PubMed, Scopus, Embase, and Web of Science) through December 2024.
View Article and Find Full Text PDFStereotact Funct Neurosurg
September 2025
Introduction: Stereoelectroencephalography-guided radio-frequency thermo coagulation (SEEG-RFTC) is a minimally invasive technique whereby radiofrequency-thermocoagulation is performed using SEEG electrodes, following recording and stimulation. It helps to disconnect/disrupt or ablate the epileptogenic networks, and provides both therapeutic and diagnostic abilities.
Methods: Retrospective study (2016-2024).
Sci Rep
August 2025
Neurology Department, Affiliate Children's Hospital of Xi'an Jiaotong University, Xi'an, 710003, Shaanxi Province, China.
In the field of neuroscience, epilepsy is a chronic non-communicable brain disease that affects approximately 50 million people worldwide. Electroencephalography (EEG) has become a key tool in detecting and characterizing human neurological diseases such as epilepsy. This rapid and accurate diagnosis allows doctors to provide timely and effective treatment to patients, significantly reducing the frequency of future seizures and the risk of related complications, which is crucial for ensuring the long-term health and quality of life of patients.
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