Epilepsy Currents最新文献

Common Data Elements for Preclinical High-Frequency Oscillations in Epilepsy. 癫痫临床前高频振荡的常见数据元素。

IF 4.6 2区医学

Epilepsy Currents Pub Date : 2026-10-11 DOI: 10.1177/15357597261491953

Ziyi Wang, JiaoJiao Guo, Christos Panagiotis Lisgaras

{"title":"Common Data Elements for Preclinical High-Frequency Oscillations in Epilepsy.","authors":"Ziyi Wang, JiaoJiao Guo, Christos Panagiotis Lisgaras","doi":"10.1177/15357597261491953","DOIUrl":"10.1177/15357597261491953","url":null,"abstract":"Normal brain function relies on coordinated oscillations within and across neural circuits. In epilepsy, disruption of these oscillations may reflect pathological excitability associated with seizure generation and/or the emergence of comorbidities. Among these oscillatory activities, high-frequency oscillations (HFOs, typically within 80-500 Hz) are increasingly considered promising electrophysiological biomarkers of epileptogenicity. Preclinical models provide a powerful platform for elucidating the mechanisms underlying HFO generation and for evaluating candidate therapeutic strategies. However, substantial heterogeneity persists across preclinical HFO studies in recording techniques, signal definitions, and reporting practices. This variability limits reproducibility and hampers comparisons between preclinical findings and human data, highlighting the need for greater harmonization. To that end, we propose a set of common data elements (CDEs) organized across 4 domains: (1) HFO recording, (2) HFO definition and detection, (3) HFO reporting and quantification, and (4) biological and disease context CDEs to capture subject- and model-specific parameters that may affect HFO interpretation and comparisons across studies. CDEs are classified as either core, representing the essential information recommended for all HFO studies; or optional, representing additional information recommended when relevant to the experimental design or research question. For practical implementation, CDEs are operationalized through structured case report forms that can be integrated into Research Electronic Data Capture systems for scalable implementation. By promoting harmonized practices, HFO CDEs aim to facilitate a common reporting language in preclinical and translational HFO research in epilepsy, enhance methodological rigor and transparency, and facilitate comparisons across laboratories and experimental models.","PeriodicalId":11742,"journal":{"name":"Epilepsy Currents","volume":" ","pages":"15357597261491953"},"PeriodicalIF":4.6,"publicationDate":"2026-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13658628/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149180234","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Beyond the Focus: The Piriform-Entorhinal-Dentate Circuit as a Driver of Network Hyperexcitability in Epilepsy. 超越焦点：梨状-内嗅-齿状电路作为癫痫网络高兴奋性的驱动因素。

IF 4.6 2区医学

Epilepsy Currents Pub Date : 2026-10-01 DOI: 10.1177/15357597261492556

Katrina Portelli, Davide Giampiccolo, Gabriele Lignani

引用次数: 0

From Recommendations to Practice: Contextualizing the AES/CNS Epilepsy Surgery Guidelines for the Clinician. 从建议到实践：临床医生AES/CNS癫痫手术指南的背景

IF 4.6 2区医学

Epilepsy Currents Pub Date : 2026-10-01 DOI: 10.1177/15357597261486865

Vineet Punia

引用次数: 0

New-Generation Antiseizure Medications: Who Takes the Lead in the Real World? 新一代抗癫痫药物：谁在现实世界中处于领先地位？

IF 4.6 2区医学

Epilepsy Currents Pub Date : 2026-09-29 DOI: 10.1177/15357597261484875

Olga Taraschenko

引用次数: 0

How to Recognize and Manage Missing Key Electrodes in Defining the Epileptogenic Zone. 如何识别和处理在确定癫痫区缺失的关键电极。

IF 4.6 2区医学

Epilepsy Currents Pub Date : 2026-09-29 DOI: 10.1177/15357597261460901

Hussam Shaker, Samuel Medina Villalon, Jorge Gonzalez-Martinez, Agnes Trebuchon

{"title":"How to Recognize and Manage Missing Key Electrodes in Defining the Epileptogenic Zone.","authors":"Hussam Shaker, Samuel Medina Villalon, Jorge Gonzalez-Martinez, Agnes Trebuchon","doi":"10.1177/15357597261460901","DOIUrl":"https://doi.org/10.1177/15357597261460901","url":null,"abstract":"Identifying and localizing the epileptogenic zone (EZ) is the cornerstone of successful epilepsy surgery, as it directly determines surgical efficacy and patient outcomes. Stereoelectroencephalography (SEEG) has emerged as a transformative tool for pinpointing the EZ, offering precise 3-dimensional recordings of seizure activity in individual patients. SEEG does not begin with electrode implantation, but with the formulation of a precise hypothesis regarding the epileptogenic networks involved. This hypothesis is based on data gathered during Phase I investigations, particularly the electroclinical correlations of seizure obtained from video-EEG monitoring. SEEG can be appropriately performed only when a prior estimation of EZ and propagation networks is available. The guiding principle of SEEG is therefore not exhaustive anatomical coverage, but rather the validation of a predefined hypothesis. Consequently, certain brain regions are deliberately not explored, there is always missing electrodes. However, in some cases, we encounter true \"missing\" electrodes, unanticipated gaps in electrode coverage, that can profoundly impact the diagnostic process. These missing electrodes may create critical gaps in the spatial sampling of epileptic networks, leading to incomplete localization of the EZ. This limitation can hinder the identification of seizure onset zone, propagation pathways, and network interactions, ultimately restricting surgical options and compromising patient outcomes. Current clinical practice highlights a significant knowledge gap in how to anticipate such issues during SEEG planning and how to optimally interpret data when electrode coverage is suboptimal. Key questions remain: How can electrode placement errors be identified early? And how can emerging technologies help compensate for these gaps? In this article, we aim to illustrate and discuss these critical issues.","PeriodicalId":11742,"journal":{"name":"Epilepsy Currents","volume":" ","pages":"15357597261460901"},"PeriodicalIF":4.6,"publicationDate":"2026-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13624185/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149105767","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Older and Wiser or More Complex? 更老更聪明还是更复杂？

IF 4.6 2区医学

Epilepsy Currents Pub Date : 2026-09-29 DOI: 10.1177/15357597261490444

Danielle A Becker

引用次数: 0

The Case of the Accelerated Clock: Tau as a Protein of Interest in Epilepsy. 加速时钟的案例：Tau蛋白在癫痫中的作用。

IF 4.6 2区医学

Epilepsy Currents Pub Date : 2026-09-29 DOI: 10.1177/15357597261489270

Rani A Sarkis

引用次数: 0

To Delay or Not to Delay: The Role Cenobamate Plays in the Presurgical Evaluation. 延迟或不延迟：Cenobamate在术前评估中的作用。