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Objective: This work aims to determine the ambulatory video electroencephalography monitoring (AVEM) duration and number of captured seizures required to resolve different clinical questions, using a retrospective review of ictal recordings., Methods: Patients who underwent home-based AVEM had event data analyzed retrospectively. Studies were grouped by clinical indication: differential diagnosis, seizure type classification, or treatment assessment. The proportion of studies where the conclusion was changed after the first seizure was determined, as was the AVEM duration needed for at least 99% of studies to reach a diagnostic conclusion., Results: The referring clinical question was not answered entirely by the first event in 29.6% (n = 227) of studies. Diagnostic and classification indications required a minimum of 7 days for at least 99% of studies to be answered, whilst treatment-assessment required at least 6 days., Conclusions: At least 7 days of monitoring, and potentially multiple events, are required to adequately answer these clinical questions in at least 99% of patients. The widely applied 72 h or single event recording cut-offs may be inadequate to adequately answer these three indications in a substantial proportion of patients., Significance: Extended duration of monitoring and capturing multiple events should be considered when attempting to capture seizures on video-EEG., (Copyright © 2023. Published by Elsevier B.V.)

Objective: Recording electrographic and behavioral information during epileptic and other paroxysmal events is important during video electroencephalography (EEG) monitoring. This study was undertaken to measure the event capture rate of an home service operating across Australia using a shoulder-worn EEG device and telescopic pole-mounted camera., Methods: Neurologist reports were accessed retrospectively. Studies with confirmed events were identified and assessed for event capture by recording modality, whether events were reported or discovered, and physiological state., Results: 6,265 studies were identified, of which 2,788 (44.50%) had events. A total of 15,691 events were captured, of which 77.89% were reported. The EEG amplifier was active for 99.83% of events. The patient was in view of the camera for 94.90% of events. 84.89% of studies had all events on camera, and 2.65% had zero events on camera (mean = 93.66%, median = 100.00%). 84.42% of events from wakefulness were reported, compared to 54.27% from sleep., Conclusions: Event capture was similar to previously reported rates from home studies, with higher capture rates on video. Most patients have all events captured on camera., Significance: Home monitoring is capable of high rates of event capture, and the use of wide-angle cameras allows for all events to be captured in the majority of studies., Competing Interests: Declaration of Competing Interest ESN, TP, and MJC declare a financial interest in Seer Medical Pty. Ltd. We confirm that we have read the Journal’s position on issues involved in ethical publication and affirm that this report is consistent with those guidelines., (Copyright © 2023 International Federation of Clinical Neurophysiology. Published by Elsevier B.V. All rights reserved.)

The expansion of medical and recreational marijuana legalization facilitates patient access to cannabis, and many patients with epilepsy pursue marijuana as a treatment for seizures. We administered a nine-item survey on marijuana use to patients seen in an epilepsy clinic over a 9 month period at a tertiary care center in Oregon where recreational use was legalized in 2015. The majority of respondents (n = 39) reported cannabis use for the purpose of treating epilepsy (87.2%, n = 34), and strongly agreed (53.8%, n = 21) or agreed (28.2%, n = 11) that cannabis use improved seizure control. The most commonly selected cannabis strains were high cannabidiol (CBD) (30.8%, n = 12) or multiple types (30.8%, n = 12), with administration methods of smoking (66.7%, n = 26), edibles (48.7%, n = 19), and concentrates (43.6%, n = 17). More participants reported using marijuana with primarily CBD than primarily tetrahydrocannabinol (THC) or equal CBD:THC content, and very few women reported using marijuana with primarily THC compared with men (10% of female versus 47% of male respondents). Only 2 of 39 participants were able to give an exact dosage used in milligrams. Medical and recreational dispensaries were the most common cannabis sources, followed by homegrown and friends/family members. Although pharmaceutical CBD extract is now Food and Drug Administration (FDA)-approved for certain epilepsy types, access remains limited. Further research is needed to understand recreational cannabis use among patients with epilepsy while clinical research for pharmaceutical cannabis products continues., (Published by Elsevier Inc.)

Purpose: The prevalence and characteristics of seizure and epilepsy research published in nonneurology journals are unknown. Characterizing this published research allows for insight into the relevance of seizures and epilepsy in other specialties and may increase opportunity for cross-specialty collaboration., Methods: In this observational study, we reviewed the top five highly cited clinical journals within eleven specialties in the InCites Journal Citation Reports (JCR) database (2016). For each specialty, we collected 2013-2017 PubMed data on publications with MeSH Major Topic of "seizures," "epilepsy," or "status epilepticus." Medical subject headings (MeSH) in PubMed are standardized terms assigned by subject analysts. MeSH Major Topic identifies articles in which a specified topic is the major focus of the article. We also retrieved author country and medical specialty affiliations. We analyzed whether author specialty affiliation was 1) concordant with journal medical specialty, 2) neurology-related, or 3) other., Results: Articles on "seizures," "epilepsy," or "status epilepticus" had the following prevalence in specialty clinical journals: cardiac and cardiovascular systems (0.01%); clinical neurology (5.34%); critical care medicine (0.20%); emergency medicine (0.47%); general and internal medicine (0.44%); neuroimaging (2.05%); neurosurgery (2.23%); obstetrics and gynecology (0.16%); oncology (0.01%); pediatrics (0.69%); and psychiatry (0.23%). Within general and internal medicine, neuroimaging, and pediatrics, seizure-related articles are more likely to be first-authored by someone with a neurology-related affiliation. Within critical care medicine, emergency medicine, neurosurgery, and obstetrics and gynecology, seizure-related articles were more likely to be first-authored by someone whose affiliation is within the field., Conclusions: Our study characterizes seizure and epilepsy research published in nonneurology journals. We found that there is a paucity of such research published in nonneurology journals, whether authored by neurologists or other specialists. This is not ideal since nonneurologists are often first-line providers for recognizing, diagnosing, or managing seizures prior to assessment by a neurologist. Cross-specialty collaboration should be strongly encouraged in clinical research., (Copyright © 2019 Elsevier Inc. All rights reserved.)

Objective: Clinical decisions on managing epilepsy patients rely on patient accuracy regarding seizure reporting. Studies have noted disparities between patient‐reported seizures and electroencephalographic (EEG) findings during video‐EEG monitoring periods, chiefly highlighting underreporting of seizures, a well‐recognized phenomenon. However, seizure overreporting is a significant problem discussed within the literature, although not in such a large cohort. Our aim is to quantify the over‐ and underreporting of seizures in a large cohort of ambulatory EEG patients. Methods: We performed a retrospective data analysis on 3407 patients referred to a diagnostic service for ambulatory video‐EEG between 2020 and 2022. Both patient‐reported events and events discovered on review of the video‐EEG were analyzed and classified as epileptic, psychogenic (typically clinical motor events, without accompanying EEG change), or noncorrelated events (NCEs; without perceivable clinical or EEG change). Events were analyzed by state of arousal and indication for referral. Subgroup analysis was performed in patients with focal and generalized epilepsies. Results: A total of 21 024 events were recorded by 3407 patients. Fifty‐eight percent of reported events were NCEs, whereas 27% of all events were epileptic. Sixty‐four percent of epileptic seizures were not reported by the patient but discovered by the clinical service on review of the recording. NCEs were in the highest proportion in the awake and drowsy arousal states and were the most common event type for the majority of referral indications. Subgroup analysis found a significantly higher proportion of NCEs in the patients with focal epilepsy (23%) compared to generalized epilepsy (10%; p <.001, chi‐squared proportion test). Significance: Our results reaffirm the phenomenon of underreporting and highlight the prevalence of overreporting. Overreporting likely represents irrelevant symptoms or electrographic discharges not represented on scalp electrodes, identification of which has important clinical relevance. Future studies should analyze events by risk factors to elucidate relationships clinicians can use and investigate the etiology of NCEs. [ABSTRACT FROM AUTHOR]

Summary: Objective: To determine the frequency and yield of neuroimaging in patients with known seizure disorders presenting to the emergency department (ED) with recurrent (nonindex) seizures. Methods: We reviewed 822 consecutive ED visits for nonindex seizures at the Oregon Health & Science University and the VA Portland Health Care System. For each visit, we abstracted details of the clinical presentation, whether neuroimaging was obtained, the results of neuroimaging, and the results of previous neuroimaging studies, when available. We determined whether ED neuroimaging led to an acute change in patient management (yield). Clinical factors associated with obtaining ED neuroimaging, and with the yield of neuroimaging, were evaluated by multivariate logistic regression. Results: A majority (78%) of ED seizure visits were for nonindex seizures. Neuroimaging was obtained in 381 of 822 nonindex seizure visits (46%). Of these, 11 imaging studies (3%) led to an acute change in patient management, 8 (2%) after excluding false‐positive scans. Acute head trauma, prolonged alteration of consciousness, and a focal neurologic examination at presentation were associated with an increased yield of ED neuroimaging. Absent any of these 3 clinical factors the true positive yield of neuroimaging was zero. Significance: ED neuroimaging was performed in nearly half of all patients presenting with nonindex seizures. A more conservative use of ED neuroimaging for nonindex seizures, based on clinical factors at presentation, could decrease imaging frequency with minimal loss of yield. [ABSTRACT FROM AUTHOR]

Objective Previous studies reporting circadian patterns of epileptiform activity and seizures are limited by (1) short-term recording in an epilepsy monitoring unit (EMU) with altered antiepileptic drugs (AEDs) and sleep, or (2) subjective seizure diary reports. We studied circadian patterns using long-term ambulatory intracranial recordings captured by the NeuroPace RNS System. Methods Retrospective study of RNS System trial participants with stable detection parameters over a continuous 84-day period. We analyzed all detections and long device-detected epileptiform events (long episodes) and defined a subset of subjects in whom long episodes represented electrographic seizures (LE-SZ). Spectrum resampling determined the dominant frequency periodicity and cosinor analysis identified significant circadian peaks in detected activity. Chi-square analysis was used to compare subjects grouped by region of seizure onset. Results In the 134 subjects, detections showed a strongly circadian and uniform pattern irrespective of region of onset that peaked during normal sleep hours. In contrast, long episodes and LE-SZ patterns varied by region. Neocortical regions had a monophasic, nocturnally dominant rhythm, whereas limbic regions showed a more complex pattern and diurnal peak. Rhythms in some individual limbic subjects were best fit by a dual oscillator (circadian + ultradian) model. Significance Epileptiform activity has a strong 24 h periodicity with peak nocturnal occurrence. Limbic and neocortical epilepsy show divergent circadian influences. These findings confirm that circadian patterns of epileptiform activity vary by seizure-onset zone, with implications for treatment and safety, including SUDEP. [ABSTRACT FROM AUTHOR]

Abstract: We evaluated videos on the social media website, YouTube, containing references to seizures and epilepsy. Of 100 videos, 28% contained an ictal event, and 25% featured a person with epilepsy recounting his or her personal experience. Videos most commonly fell into categories of Personal Experience/Anecdotal (44%) and Informative/Educational (38%). Fifty-one percent of videos were judged as accurate, and 9% were inaccurate; accuracy was not an applicable attribute in the remainder of the videos. Eighty-five percent of videos were sympathetic towards those with seizures or epilepsy, 9% were neutral, and only 6% were derogatory. Ninety-eight percent of videos were thought to be easily understood by a layperson. The user-generated content on YouTube appears to be more sympathetic and accurate compared to other forms of mass media. We are optimistic that with a shifting ratio towards sympathetic content about epilepsy, the amount of stigma towards epilepsy and seizures will continue to lessen. [Copyright &y& Elsevier]

• Our study reveals racial disparities in telemedicine access in rural Hawaii. • Older patients are satisfied with telemedicine care, even those less "tech savvy". • Patients prefer in-person visits but report high satisfaction with telemedicine care. Telemedicine clinic visits traditionally originated from spoke clinic sites, but recent trends have favored home-based telemedicine, particularly in the time of Covid-19. Our study focused on identification of barriers and factors influencing perceptions of care with use of home-based telemedicine in patients with seizures living in rural Hawaii. We additionally compared characteristics of patients using telemedicine versus in-person clinic visits prior to the Covid-19 pandemic. For the retrospective portion of our study, we queried charts of adult outpatients treated by the two full-time epileptologists at a Level 4 epilepsy center accredited by the National Association of Epilepsy Centers between November 2018 and December 2019. We included patients who live on the neighbor islands of Hawaii but not on Oahu, i.e., patients who would require air travel to see an epileptologist. There had been no set protocol at the epilepsy center for telemedicine referral; our practice had been to offer telemedicine visits to all neighbor island patients when felt to be appropriate. We collected demographic and clinic visit data. For the prospective portion we surveyed neighbor island patients or their caregivers, seen via home-based telemedicine between March 2020 and December 2020. We obtained verbal consent for study participation. Survey questions addressed satisfaction with clinical care, visit preferences, and potential barriers to care. In a 14-month period prior to the Covid-19 pandemic, 75 (61%) neighbor island patients were seen exclusively in-person in seizure clinic while 47 (39%) had at least one telemedicine visit. 39% of patients seen only in-person were female whereas 38% of patients seen by telemedicine were female. Patients seen in-person had an older median age (47.2 years) compared to those seen at least once by telemedicine (42.4 years). The no-show rate was 13% for in-person visits versus 4% for telemedicine visits. Among patients seen in person, 17% were Asian, 32% Native Hawaiian, and 47% White, whereas patients seen by telemedicine were 15% Asian, 23% Native Hawaiian, and 57% White. Patients who were seen in person lived in zip codes with median household income of $68,516 and patients who were seen by telemedicine lived in zip codes with median household income of $67,089. Patients who were seen in person lived in zip codes in which 78% of the population had access to broadband internet, whereas patients who were seen by telemedicine lived in zip codes in which 79% of the population had access to broadband internet. During the Covid-19 pandemic, we surveyed 47 consecutive patients seen by telemedicine, 45% female with median age of 33 years. Telemedicine connection was set up by the patient in 74% of cases, or by the patient's mother (15%), other family member (9%), or other caregiver (2 %). Median patient satisfaction score was 5 ("highly satisfied") on a 5-point Likert scale with mean score of 4.6. Telemedicine visit was done using a smartphone by 62% of patients, a computer by 36% of patients, and a tablet by 2% of patients. A home WiFi connection was used in 83% of patients. Home-based telemedicine visits provide a high-satisfaction method for seizure care delivery despite some obstacles. Demographic disparities may be an obstacle to telemedicine care and seem to relate to race and possibly age, rather than to sex/gender, household income, or access to broadband internet. Additionally, despite high satisfaction overall, more patients felt the physical exam was superior at in-person clinic visits and more patients expressed a preference for in-person visits. During the Covid-19 pandemic when there may be barriers to in-person clinic visits, home-based telemedicine is a feasible alternative. [ABSTRACT FROM AUTHOR]