Epileptic Disorders最新文献

{"title":"EEG reveals what the eyes can't see: A clinical vignette of epileptic visual loss.","authors":"Zoi Kallia, Vasiliki Poulidou, Evripidis Pityrigkas, Panteleimon Ioannidis, Martha Spilioti, Vasilios K Kimiskidis","doi":"10.1002/epd2.70412","DOIUrl":"https://doi.org/10.1002/epd2.70412","url":null,"abstract":"","PeriodicalId":50508,"journal":{"name":"Epileptic Disorders","volume":" ","pages":""},"PeriodicalIF":2.5,"publicationDate":"2026-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149018651","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"From triggers to ictal events: A video case series of reflex seizures.","authors":"Laure Salmon, Nicolas Nguyen, Dang Khoa Nguyen, Olivier Aron","doi":"10.1002/epd2.70355","DOIUrl":"https://doi.org/10.1002/epd2.70355","url":null,"abstract":"","PeriodicalId":50508,"journal":{"name":"Epileptic Disorders","volume":" ","pages":""},"PeriodicalIF":2.5,"publicationDate":"2026-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149013136","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Diagnostic accuracy of the ADAS-Cog-13 as a cognitive screening tool in older adults with focal epilepsy: A multicenter cross-sectional study.","authors":"Jessica Kania, Ifrah Zawar, Anny Reyes, Victoria Williams, Rani Sarkis, Vineet Punia, McKenna Williams, Lisa Ferguson, Kayela Arrotta, Robyn M Busch, Jana Jones, Bruce P Hermann, Carrie R McDonald","doi":"10.1002/epd2.70415","DOIUrl":"10.1002/epd2.70415","url":null,"abstract":"<p><strong>Objective: </strong>Cognitive impairment is common among older adults with epilepsy, and although the Montreal Cognitive Assessment (MoCA) has demonstrated validity as a screening tool in this population, additional efficient screening options are needed. Here we examine, for the first time, the diagnostic accuracy of the Alzheimer's Disease Assessment Scale-Cognitive-13 Item Subscale (ADAS-Cog-13) as a screening tool to identify cognitive impairment in older adults with focal epilepsy.</p><p><strong>Methods: </strong>Participants included 83 adults (ages ≥55) with focal epilepsy from the Brain, Aging, and Cognition in Epilepsy (BrACE) study and 83 age-, sex-, and education-matched cognitively healthy controls from the Alzheimer's Disease Neuroimaging Initiative (ADNI-3). All completed the ADAS-Cog-13 and a comprehensive neuropsychological battery that was analyzed through the International Cognitive Disorders in Epilepsy (IC-CoDE) system to identify cognitive phenotypes (intact vs. impaired). Performance on the individual ADAS-Cog-13 total score and items was assessed, clinical and sociodemographic features characterized, and diagnostic efficiency statistics determined and compared with MoCA performance.</p><p><strong>Results: </strong>Focal epilepsy participants (mean age = 66.4 years) performed significantly worse across the ADAS-Cog-13 total score and 8 of the 13 individual test items compared with controls. The largest effect sizes were observed on verbal learning and memory tasks, particularly word recall (d = .87) and delayed word recall (d = 1.06). An ADAS-Cog-13 total score of ≥15 yielded optimal diagnostic efficiency (67.5% accuracy, 68.8% sensitivity, 66.7% specificity) for identifying cognitive impairment-similar to MoCA performance.</p><p><strong>Significance: </strong>The ADAS-Cog-13 is sensitive to detecting cognitive impairment in older adults with focal epilepsy and may represent a scalable screening option in this population. Additional comparative studies in older epilepsy populations are needed to determine the sensitivity of this measure to longitudinal change, cross-cultural applicability, and availability across languages.</p><p><strong>Plain language summary: </strong>Cognitive decline is common among older adults with epilepsy. Although the Montreal Cognitive Assessment (MoCA) has been shown to be a valid screening tool in this population, additional options are needed. The ADAS-Cog-13 may be a useful screening option in epilepsy research and clinical care, although additional studies are needed to compare it with other cognitive screening tests and to confirm its applicability for clinical care and across healthcare settings and cultures.</p>","PeriodicalId":50508,"journal":{"name":"Epileptic Disorders","volume":" ","pages":""},"PeriodicalIF":2.5,"publicationDate":"2026-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149018676","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Temporal lobe epilepsy with bilateral amygdala enlargement mimicking behavioral variant frontotemporal dementia.","authors":"Kentaro Tokumoto, Takuji Nishida, Takashi Matsudaira, Etsuko Yamazaki, Norihiko Kawaguchi, Naotaka Usui, Katsumi Imai, Yushi Inoue","doi":"10.1002/epd2.70417","DOIUrl":"https://doi.org/10.1002/epd2.70417","url":null,"abstract":"","PeriodicalId":50508,"journal":{"name":"Epileptic Disorders","volume":" ","pages":""},"PeriodicalIF":2.5,"publicationDate":"2026-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149009411","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Identifying drug-resistant epilepsy using Swedish National Patient Registry data.","authors":"Matilda Modigh, Elina Tayebi, Ronny Wickström, Cecilia Bartholdson, Arvind Kumar, Heléne Sundelin","doi":"10.1002/epd2.70389","DOIUrl":"https://doi.org/10.1002/epd2.70389","url":null,"abstract":"<p><strong>Background: </strong>Approximately 30% of individuals with epilepsy are drug-resistant, suffering low quality of life and should be evaluated for other treatment modalities. Drug-resistant epilepsy has no specific diagnostic code, making identification in national healthcare registers challenging and limiting epidemiological research based on register data.</p><p><strong>Methods: </strong>To define our cohort, we used 1320 individuals from the Swedish National Epilepsy Surgery Register (SNESUR) as index individuals. Each index individual was matched with up to 17 individuals with epilepsy of similar age and diagnosis year in the Swedish National Patient Register. After excluding all SNESUR individuals, the study cohort consisted of 21 393 individuals, a cohort broadly representative of the general epilepsy population. Data on diagnoses, procedures, healthcare contacts, and dispensed antiseizure medications were obtained from national registers. A distance-based ranking algorithm was developed and validated against medical records. Three machine-learning classifiers were then trained and tested using a proxy of the International League Against Epilepsy definition of drug-resistant epilepsy.</p><p><strong>Results: </strong>The ranking algorithm showed high performance for identifying drug-resistant epilepsy, with a positive predictive value (PPV) of 86.2% (95% CI: 0.81-0.90). Out of the three machine-learning classifiers, Gradient Boosting Machine achieved the highest F1-score of 0.762 (along with PPV = 0.781, sensitivity = 0.744, specificity = 0.820, area under the precision-recall curve = 0.858). The most significant variables found were \"total visits to outpatient clinic due to epilepsy,\" \"age of onset of epilepsy,\" \"total admissions due to epilepsy,\" and \"total days of admission due to epilepsy.\"</p><p><strong>Conclusion: </strong>Both the ranking algorithm and machine-learning approaches showed good performance in register-based phenotyping of drug-resistant epilepsy using routinely collected register data, supporting their use in epidemiologic research.</p>","PeriodicalId":50508,"journal":{"name":"Epileptic Disorders","volume":" ","pages":""},"PeriodicalIF":2.5,"publicationDate":"2026-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149002818","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Localizing value of ecstatic phenomenon in epilepsy surgery: A systematic review.","authors":"Mihai Dragos Maliia, Fabrice Bartolomei, Fabienne Picard","doi":"10.1002/epd2.70392","DOIUrl":"https://doi.org/10.1002/epd2.70392","url":null,"abstract":"<p><strong>Objective: </strong>A systematic review was conducted to synthesize current anatomo-clinical correlations of ecstatic symptoms in focal epilepsy, aiming to provide evidence-based guidance for interpreting this ictal semiology during presurgical evaluation.</p><p><strong>Methods: </strong>We searched PubMed and Web of Science using terms related to ecstatic experience (e.g., ecstatic, bliss, mystical, time dilation) combined with epilepsy, seizure, or aura. This was supplemented by manual screens of review bibliographies and AI-assisted queries. Of 926 selected papers, 33 were retained for localization analysis. We included studies from which lateralization and localization data could be reliably extracted and evaluated. From the extracted data, 51 patients were initially identified. The definitive analysis, however, was restricted to 9 patients who met \"high\" or \"very high\" confidence criteria for the correct delineation of the epileptogenic zone (EZ). A secondary analysis of the symptomatogenic zone (SZ) was conducted, drawing on data from 9 patients and identifying 14 sublobar localizations.</p><p><strong>Results: </strong>For the EZ, the highest level of evidence pointed to various subregions of the temporal lobe, particularly the anterior, basal or mesial regions, identified in 6 of the 9 high-quality cases. For the SZ, the insular lobe was the most frequently identified region, particularly the dorsal anterior portion, which accounted for 9 of the 14 identified localizations.</p><p><strong>Significance: </strong>Evidence from the highest-quality surgical series and individual case reports consistently demonstrates that the EZ for ecstatic seizures resides in the temporal lobe or, in approximately one-third of cases, extra-temporal structures (insulo-opercular or orbitofrontal cortex). In contrast, data from direct electrical stimulation, intracranial recordings, and ictal single-photon emission computed tomography (SISCOM) strongly point to the insular cortex as the symptom-generating zone. This review is limited by the relatively low number of eligible patients with sufficient electro-clinical data and the high risk of bias in the existing literature.</p>","PeriodicalId":50508,"journal":{"name":"Epileptic Disorders","volume":" ","pages":""},"PeriodicalIF":2.5,"publicationDate":"2026-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148992231","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Dietary patterns in children with epilepsy.","authors":"Sandal Rabia","doi":"10.1002/epd2.70408","DOIUrl":"https://doi.org/10.1002/epd2.70408","url":null,"abstract":"","PeriodicalId":50508,"journal":{"name":"Epileptic Disorders","volume":" ","pages":""},"PeriodicalIF":2.5,"publicationDate":"2026-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148992243","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Koolen-de Vries syndrome: Epilepsy-associated features in a patient with a novel likely pathogenic KANSL1 single-nucleotide variant.","authors":"Sebastian Fortini, Matias Juanes, Josefina Boero, Roberto Caraballo","doi":"10.1002/epd2.70384","DOIUrl":"https://doi.org/10.1002/epd2.70384","url":null,"abstract":"","PeriodicalId":50508,"journal":{"name":"Epileptic Disorders","volume":" ","pages":""},"PeriodicalIF":2.5,"publicationDate":"2026-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148992199","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Response to: \"Dietary Patterns in Children With Epilepsy\".","authors":"Ana Claudia Cândido Oliveira, Ana Carolina Coan","doi":"10.1002/epd2.70411","DOIUrl":"https://doi.org/10.1002/epd2.70411","url":null,"abstract":"","PeriodicalId":50508,"journal":{"name":"Epileptic Disorders","volume":" ","pages":""},"PeriodicalIF":2.5,"publicationDate":"2026-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148992166","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A benign temporal rhythm on stereoelectroencephalography suggestive of rhythmic mid-temporal theta of drowsiness (RMTD): A clinical vignette.","authors":"Hanan M Asiri, Giovanni Pellegrino, Jorge G Burneo","doi":"10.1002/epd2.70395","DOIUrl":"https://doi.org/10.1002/epd2.70395","url":null,"abstract":"","PeriodicalId":50508,"journal":{"name":"Epileptic Disorders","volume":" ","pages":""},"PeriodicalIF":2.5,"publicationDate":"2026-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148992212","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}