Feasibility and utilization of a national virtual EEG course for Canadian residents and fellows.

OBJECTIVE: Electroencephalography (EEG) is an essential tool for the diagnosis and management of epilepsy. There is a gap in EEG education for residents in Canadian neurology programs as EEG is only listed in the training requirements as a procedural skill. There is currently no standardized EEG curriculum among Canadian epilepsy fellowship programs. METHODS: We conducted two iterations of a structured virtual EEG course from June to October 2021, and from March to June 2022. Trainees were recruited via Canadian neurology residency and epilepsy fellowship programs and were required to join the Canadian League Against Epilepsy (CLAE) as junior members. We obtained trainee demographic information before and after each course as well as analytical data on the video recordings posted on the CLAE website. RESULTS: A total of 77 trainees registered for the two courses; majority of trainees were adult neurology residents (34%) and adult epilepsy fellows (32%). Prior theoretical EEG teaching was reported as limited by more than half (53%) of participants. The average number of unique viewers per recorded video in 2021 was 29.7 interquartile range (16-35.5), while in 2022, the average was 22.5, interquartile range (16-28). Post-course questionnaire data revealed that 82% of participants strongly agreed that the course enhanced their knowledge. All participants were either likely (27%) or very likely (73%) to recommend the course to their peers. SIGNIFICANCE: National virtual EEG education is both feasible and accessible; therefore, this is a promising modality of teaching to meet the significant demand for high-quality EEG education among neurology trainees.

Importance of access to epilepsy monitoring units during the COVID-19 pandemic: Consensus statement of the International League against epilepsy and the International Federation of Clinical Neurophysiology.

Restructuring of healthcare services during the COVID-19 pandemic has led to lockdown of Epilepsy Monitoring Units (EMUs) in many hospitals. The ad-hoc taskforce of the International League Against Epilepsy (ILAE) and the International Federation of Clinical Neurophysiology (IFCN) highlights the detrimental effect of postponing video-EEG monitoring of patients with epilepsy and other paroxysmal events. The taskforce calls for action to continue functioning of Epilepsy Monitoring Units during emergency situations, such as the COVID-19 pandemic. Long-term video-EEG monitoring is an essential diagnostic service. Access to video-EEG monitoring of the patients in the EMUs must be given high priority. Patients should be screened for COVID-19, before admission, according to the local regulations. Local policies for COVID-19 infection control should be adhered to during the video-EEG monitoring. In cases of differential diagnosis where reduction of antiseizure medication is not required, consider home video-EEG monitoring as an alternative in selected patients.

Detrimental effect of antiepileptic drugs dose in pediatric children with epilepsy in Saudi Arabia: A prospective cohort study.

ABSTRACT: This study aims to evaluate the effect of dose titration for different oral antiepileptic medications among children with epilepsy in Riyadh, Saudi Arabia.A single-center prospective pilot, cohort study was undertaken at a tertiary hospital in Riyadh, Saudi Arabia. All medical records of pediatric patients below the age of 14 years of age who has been newly diagnosed with epilepsy by attending a medical specialist or on a new epileptic treatment plans were enrolled in the study.A total of 76 epileptic patients were screened for 3 months' period and 48 patients were included in this study. Out of the 48 patients, 31 patients followed the regular practice in the titration processes and 17 patients were in the British national formulary (BNF) guideline. Fifteen children who were on monotherapy of levetiracetam were in regular practice guideline experienced poor seizure control with a recorded number of seizure incidence (n = 10). The patient in regular practice guidelines using a combination therapy of phenytoin and levetiracetam were experiencing some behavioral disturbance and sedation effect. Seventeen patients followed in the BNF guideline who were on levetiracetam were experienced less adverse effect (n = 2) with no behavioral changes.The group who followed the regular practice found having a greater incidence of documented adverse effects compared to the patients following the BNF guideline. The titrating antiepileptic medication has a detrimental effect on the pediatric population as observed in this study.

Dynamic analysis on simultaneous iEEG-MEG data via hidden Markov model.

BACKGROUND: Intracranial electroencephalography (iEEG) recordings are used for clinical evaluation prior to surgical resection of the focus of epileptic seizures and also provide a window into normal brain function. A major difficulty with interpreting iEEG results at the group level is inconsistent placement of electrodes between subjects making it difficult to select contacts that correspond to the same functional areas. Recent work using time delay embedded hidden Markov model (HMM) applied to magnetoencephalography (MEG) resting data revealed a distinct set of brain states with each state engaging a specific set of cortical regions. Here we use a rare group dataset with simultaneously acquired resting iEEG and MEG to test whether there is correspondence between HMM states and iEEG power changes that would allow classifying iEEG contacts into functional clusters. METHODS: Simultaneous MEG-iEEG recordings were performed at rest on 11 patients with epilepsy whose intracranial electrodes were implanted for pre-surgical evaluation. Pre-processed MEG sensor data was projected to source space. Time delay embedded HMM was then applied to MEG time series. At the same time, iEEG time series were analyzed with time-frequency decomposition to obtain spectral power changes with time. To relate MEG and iEEG results, correlations were computed between HMM probability time courses of state activation and iEEG power time course from the mid contact pair for each electrode in equally spaced frequency bins and presented as correlation spectra for the respective states and iEEG channels. Association of iEEG electrodes with HMM states based on significant correlations was compared to that based on the distance to peaks in subject-specific state topographies. RESULTS: Five HMM states were inferred from MEG. Two of them corresponded to the left and the right temporal activations and had a spectral signature primarily in the theta/alpha frequency band. All the electrodes had significant correlations with at least one of the states (p < 0.05 uncorrected) and for 27/50 electrodes these survived within-subject FDR correction (q < 0.05). These correlations peaked in the theta/alpha band. There was a highly significant dependence between the association of states and electrodes based on functional correlations and that based on spatial proximity (p = 5.6e-6,χ2 test for independence). Despite the potentially atypical functional anatomy and physiological abnormalities related to epilepsy, HMM model estimated from the patient group was very similar to that estimated from healthy subjects. CONCLUSION: Epilepsy does not preclude HMM analysis of interictal data. The resulting group functional states are highly similar to those reported for healthy controls. Power changes recorded with iEEG correlate with HMM state time courses in the alpha-theta band and the presence of this correlation can be related to the spatial location of electrode contacts close to the individual peaks of the corresponding state topographies. Thus, the hypothesized relation between iEEG contacts and HMM states exists and HMM could be further explored as a method for identifying comparable iEEG channels across subjects for the purposes of group analysis.

Assessment of Effective Network Connectivity among MEG None Contaminated Epileptic Transitory Events.

Characterizing epileptogenic zones EZ (sources responsible of excessive discharges) would assist a neurologist during epilepsy diagnosis. Locating efficiently these abnormal sources among magnetoencephalography (MEG) biomarker is obtained by several inverse problem techniques. These techniques present different assumptions and particular epileptic network connectivity. Here, we proposed to evaluate performances of distributed inverse problem in defining EZ. First, we applied an advanced technique based on Singular Value Decomposition (SVD) to recover only pure transitory activities (interictal epileptiform discharges). We evaluated our technique's robustness in separation between transitory and ripples versus frequency range, transitory shapes, and signal to noise ratio on simulated data (depicting both epileptic biomarkers and respecting time series and spectral properties of realistic data). We validated our technique on MEG signal using detector precision on 5 patients. Then, we applied four methods of inverse problem to define cortical areas and neural generators of excessive discharges. We computed network connectivity of each technique. Then, we confronted obtained noninvasive networks to intracerebral EEG transitory network connectivity using nodes in common, connection strength, distance metrics between concordant nodes of MEG and IEEG, and average propagation delay. Coherent Maximum Entropy on the Mean (cMEM) proved a high matching between MEG network connectivity and IEEG based on distance between active sources, followed by Exact low-resolution brain electromagnetic tomography (eLORETA), Dynamical Statistical Parametric Mapping (dSPM), and Minimum norm estimation (MNE). Clinical performance was interesting for entire methods providing in an average of 73.5% of active sources detected in depth and seen in MEG, and vice versa, about 77.15% of active sources were detected from MEG and seen in IEEG. Investigated problem techniques succeed at least in finding one part of seizure onset zone. dSPM and eLORETA depict the highest connection strength among all techniques. Propagation delay varies in this range [18, 25]ms, knowing that eLORETA ensures the lowest propagation delay (18 ms) and the closet one to IEEG propagation delay.

The COVID-19 outbreak and approaches to performing EEG in Europe.

The coronavirus SARS-CoV-2 disease (COVID-19) pandemic affects availability and performance of neurophysiological diagnostic methods, including EEG. Our objective was to outline the current situation regarding EEG-based investigations across Europe. A web-based survey was distributed to centres within the European Reference Network on rare and complex epilepsies (ERN EpiCARE). Responses were collected between April 9 and May 15, 2020. Results were analysed with Microsoft Excel, Python Pandas and SciPy. Representants from 47 EpiCARE centres from 22 countries completed the survey. At the time of completing the survey, inpatient video-EEGs had been stopped or restricted in most centres (61.7% vs. 36.2% for adults, and 38.3% vs. 53.2% for children). Invasive investigations and epilepsy surgery were similarly affected. Acute EEGs continued to be performed, while indications for outpatient EEGs were limited and COVID-19 triage put in place. The strictness of measures varied according to extent of the outbreak in a given country. The results indicate a profound impact of COVID-19 on neurophysiological diagnostics, especially inpatient video-EEGs, invasive investigations, and epilepsy surgery. The COVID-19 pandemic may hamper care for patients in need of EEG-based investigations, particularly patients with seizure disorders. ERN EpiCARE will work on recommendations on how to rapidly adapt to such situations in order to alleviate consequences for our patients.

Big data in epilepsy: Clinical and research considerations. Report from the Epilepsy Big Data Task Force of the International League Against Epilepsy.

Epilepsy is a heterogeneous condition with disparate etiologies and phenotypic and genotypic characteristics. Clinical and research aspects are accordingly varied, ranging from epidemiological to molecular, spanning clinical trials and outcomes, gene and drug discovery, imaging, electroencephalography, pathology, epilepsy surgery, digital technologies, and numerous others. Epilepsy data are collected in the terabytes and petabytes, pushing the limits of current capabilities. Modern computing firepower and advances in machine and deep learning, pioneered in other diseases, open up exciting possibilities for epilepsy too. However, without carefully designed approaches to acquiring, standardizing, curating, and making available such data, there is a risk of failure. Thus, careful construction of relevant ontologies, with intimate stakeholder inputs, provides the requisite scaffolding for more ambitious big data undertakings, such as an epilepsy data commons. In this review, we assess the clinical and research epilepsy landscapes in the big data arena, current challenges, and future directions, and make the case for a systematic approach to epilepsy big data.

Bridging the healthcare gap: Building the case for epilepsy virtual clinics in the current healthcare environment.

Access to quality healthcare remains a challenge that is complicated by mounting pressures to control costs, and now, as we witness, the unprecedented strain placed on our healthcare delivery systems due to the COVID-19 pandemic. Challenges in healthcare access have driven a need for innovative approaches ensuring connectivity to health providers. Telehealth services and virtual clinics offer accessible disease management pathways for patients living in health resource limited areas or, as in the case of the COVID-19 pandemic, where there may be potential barriers to existing healthcare resources. Those suffering with serious chronic disorders often cannot be seen by a healthcare specialist due to their limited availability, or the lack of a specialist within a reasonable proximity. Epilepsy represents such a disorder where most of the world's population lacks the availability of necessary specialists. Virtual clinics allow for specialist care and an ability to perform necessary ambulatory electroencephalogram (EEG) monitoring by placing the technologies directly in patients' homes or at local clinics near the patients' homes. By moving the diagnostic process out of the hospital or epilepsy center, it becomes possible to overcome growing gaps in neurology services. Virtual clinics have the potential to expand access to high-quality, cost-effective care for the patient. The virtual clinic remotely connects those in need of medical support with specialists anywhere in the world, at any time of the day.

Quantifying the burden of generalized tonic-clonic seizures in patients with drug-resistant epilepsy.

OBJECTIVE: Compared to other seizure types, generalized tonic-clonic (GTC) seizures may be disproportionately related to increased morbidity, and reducing seizure frequency could translate into improvements across measures of morbidity in medically treated patients with drug-resistant epilepsy (DRE). The primary objective of this analysis was to quantify the burden of patients with DRE who experience GTC seizures (GTC+) compared to patients with DRE who do not experience GTC seizures (GTC-). METHODS: Adult patients from the Cleveland Clinic Epilepsy Center-Neurological Institute from 2012-2016 with DRE with epilepsy for at least 1 year were eligible for inclusion and were divided into GTC ± groups based on whether the patient had experienced a GTC seizure in the year preceding the first visit. Epilepsy duration, comorbidities, antiepileptic drug use, patient-reported outcomes (PROs) and seizure type, frequency, and etiology were captured. Generalized linear models, negative binomial regression, logistic regression, and linear regression were used as appropriate for multivariate analyses. RESULTS: A total of 379 patients met inclusion criteria and had data at 1-year follow-up after their baseline visit (192 GTC+ and 187 GTC-). Although DRE patients experiencing GTC seizures had fewer seizures per day over the preceding 6 months than those not experiencing GTC seizures, seizure severity and levels of depression and anxiety were greater. GTC+ patients who reported five or more seizures in the preceding 4 weeks had 82% lower odds (1-0.18 = 0.82) of working than patients with no seizures. SIGNIFICANCE: Patients with DRE experience a significant burden and decreased quality of life. Multivariate analysis is necessary to understand the complex relationship between seizure type, frequency, and impact on health-related quality of life (HRQoL) and changes over time. Effective treatments to reduce the burden for DRE patients who experience GTC seizures continue to be needed.

Design of composite measure schemes for comparative severity assessment in animal-based neuroscience research: A case study focussed on rat epilepsy models.

Comparative severity assessment of animal models and experimental interventions is of utmost relevance for harm-benefit analysis during ethical evaluation, an animal welfare-based model prioritization as well as the validation of refinement measures. Unfortunately, there is a lack of evidence-based approaches to grade an animal's burden in a sensitive, robust, precise, and objective manner. Particular challenges need to be considered in the context of animal-based neuroscientific research because models of neurological disorders can be characterized by relevant changes in the affective state of an animal. Here, we report about an approach for parameter selection and development of a composite measure scheme designed for precise analysis of the distress of animals in a specific model category. Data sets from the analysis of several behavioral and biochemical parameters in three different epilepsy models were subjected to a principal component analysis to select the most informative parameters. The top-ranking parameters included burrowing, open field locomotion, social interaction, and saccharin preference. These were combined to create a composite measure scheme (CMS). CMS data were subjected to cluster analysis enabling the allocation of severity levels to individual animals. The results provided information for a direct comparison between models indicating a comparable severity of the electrical and chemical post-status epilepticus models, and a lower severity of the kindling model. The new CMS can be directly applied for comparison of other rat models with seizure activity or for assessment of novel refinement approaches in the respective research field. The respective online tool for direct application of the CMS or for creating a new CMS based on other parameters from different models is available at https://github.com/mytalbot/cms. However, the robustness and generalizability needs to be further assessed in future studies. More importantly, our concept of parameter selection can serve as a practice example providing the basis for comparable approaches applicable to the development and validation of CMS for all kinds of disease models or interventions.

48-hour video-EEG monitoring for epilepsy presurgical evaluation is cost-effective and safe in resource-limited setting.

INTRODUCTION: Video-EEG monitoring is one of the key investigations in epilepsy pre-surgical evaluation but limited by cost. This study aimed to determine the efficacy and safety of a 48-hour (3-day) video EEG monitoring, with rapid pre-monitoring antiepileptic drugs withdrawal. MATERIAL AND METHODS: This is a retrospective study of epilepsy cases with VEM performed in University Malaya Medical Center (UMMC), Kuala Lumpur, from January 2012 till August 2016. RESULTS: A total of 137 cases were included. The mean age was 34.5 years old (range 15-62) and 76 (55.8 %) were male. On the first 24 -h of recording (D1), 81 cases (59.1 %) had seizure occurrence, and 109 (79.6 %) by day 2 (D2). One-hundred and nine VEMs (79.6 %) were diagnostic, in guiding surgical decision or further investigations. Of these, 21 had less than 2 seizures recorded in the first 48 h but were considered as diagnostic because of concordant interictal ± ictal activities, or a diagnosis such as psychogenic non-epileptic seizure was made. Twenty-eight patients had extension of VEM for another 24-48 h, and 11 developed seizures during the extension period. Extra-temporal lobe epilepsy and seizure frequency were significant predictors for diagnostic 48 -h VEM. Three patients developed complications, including status epilepticus required anaesthetic agents (1), seizure clusters (2) with postictal psychosis or dysphasia, and all recovered subsequently. CONCLUSIONS: 48-h video EEG monitoring is cost-effective in resource limited setting.

Remote programming: A convenient and cost-effective measure of vagus nerve stimulation for children with epilepsy.

This study aimed to evaluate the efficacy, adverse events and expense burden of outpatient versus remote programming for vagus nerve stimulation (VNS) in children with epilepsy. A total of 46 children with drug-resistant epilepsy, who underwent VNS at the Pediatric Epilepsy Center, Peking University First Hospital between March 2017 and June 2018, were enrolled into the study. Participants were assigned (non-randomized) into an outpatient programming group or remote programming group (where VNS parameters were adjusted through the internet) by parental choice. The responder rate, expenditure for VNS programming and adverse events were compared between the two groups. The median age at VNS implantation was 5.17 years (3.83-6.71), with the median epileptic course being 3.79 years (2.65-4.90). Twenty-four patients were assigned to the outpatient programming group and 22 were assigned to the remote programming group. Baseline data were comparable between the two groups, with the exception of the remote group having a longer distance between their place of residence and the hospital. The median time from VNS implantation to last follow-up was 1.33 years (1.25-1.75) and 1.46 years (1.17-1.58) in the outpatient and remote groups, respectively. In the outpatient programming group, 15 patients (62.5 %,) were VNS responders and four patients (16.6 %) became seizure-free. In the remote programming group, 16 patients (72.7 %) were VNS responders and four (17.4 %) became seizure-free. Cough and hoarseness were common adverse events in both the outpatient and remote groups (33.3 % vs. 18.2 %). There were no significant differences between the two groups in terms of adverse events. The median cost of each follow-up visit per patient in the outpatient group was 192.4 US dollars ($120.0-$376.5), of which travelling expenses were the major component, followed by accommodation fees, outpatient service fees and indirect costs. Whereas, patients in the remote programming group only needed to pay for the remote programming expense, which totaled 75.8 US dollars per person each time. The efficacy and adverse events were both comparable between the outpatient and remote programming patients. Remote programming was found to be a more cost-effective treatment, especially for patients living further away from centers specializing in epilepsy.

Comparisons of direct and indirect utilities in adult epilepsy populations: A systematic review.

OBJECTIVE: Epilepsy is common and carries substantial morbidity, and therefore identifying cost-effective health interventions is essential. Cost-utility analysis is a widely used method for such analyses. For this, health conditions are rated in terms of utilities, which provide a standardized score to reflect quality of life. Utilities are obtained either indirectly using quality of life questionnaires, or directly from patients or the general population. We sought to describe instruments used to estimate utilities in epilepsy populations, and how results differ according to methods used. METHODS: We undertook a systematic review of studies comparing at least two instruments for obtaining utilities in epilepsy populations. MEDLINE, Embase, ScienceDirect, Cochrane Library, Google Scholar, and gray literature were searched from inception to June 2019. Mean utilities were recorded and compared for each method. RESULTS: Of the 38 unique records initially identified, eight studies met inclusion criteria. Utilities were highest for direct "tradeoff" methods, obtained via instruments including standard gamble (0.93) and time tradeoff (0.92), compared to indirect methods, obtained via instruments including EuroQoL five-dimensional form (range = 0.72-0.86) and Health Utilities Index Mark 3 (range = 0.52-0.71). Visual analog scale (VAS), a direct "nontradeoff" instrument, provided equal or lower utilities (range = 68.0-79.8) compared to indirect instruments. SIGNIFICANCE: Direct methods, with the important exception of VAS, may provide higher utilities than indirect methods. More studies are needed to identify the most appropriate utility instruments for epilepsy populations, and to investigate whether there is variation between utilities for different types of epilepsy and other patient- and disease-specific factors.

Indications and expectations for neuropsychological assessment in epilepsy surgery in children and adults.

In our first paper in this series (Epilepsia 2015; 56(5): 674-681), we published recommendations for the indications and expectations for neuropsychological assessment in routine epilepsy care. This partner paper provides a comprehensive overview of the more specialist role of neuropsychological assessment in the pre and postoperative evaluation of epilepsy surgery patients. The paper is in two parts. The first part presents the framework for the mandatory role of neuropsychologists in the presurgical evaluation of epilepsy surgery candidates. A preoperative neuropsychological assessment should be comprised of standardised measures of cognitive function in addition to wider measures of behavioural and psychosocial function. The results from the presurgical assessment are used to: (1) establish a baseline against which change can be measured following surgery; (2) provide a collaborative contribution to seizure characterization, lateralization and localization; (3) provide evidence-based predictions of cognitive risk associated with the proposed surgery; and (4) provide the evidence base for comprehensive preoperative counselling, including exploration of patient expectations of surgical treatment. The second part examines the critical role of the neuropsychologist in the evaluation of postoperative outcomes. Neuropsychological changes following surgery are dynamic and a comprehensive, long-term assessment of these changes following surgery should form an integral part of the postoperative follow-up. The special considerations with respect to pre and postoperative assessment when working with paediatric populations and those with an intellectual disability are also discussed. The paper provides a summary checklist for neuropsychological involvement throughout the epilepsy surgery process, based on the recommendations discussed.

Changing concepts in presurgical assessment for epilepsy surgery.

Candidates for epilepsy surgery must undergo presurgical evaluation to establish whether and how surgical treatment can stop seizures without causing neurological deficits. Various techniques, including MRI, PET, single-photon emission CT, video-EEG, magnetoencephalography and invasive EEG, aim to identify the diseased brain tissue and the involved network. Recent technical and methodological developments, encompassing both advances in existing techniques and new combinations of technologies, are enhancing the ability to define the optimal resection strategy. Multimodal interpretation and predictive computer models are expected to aid surgical planning and patient counselling, and multimodal intraoperative guidance is likely to increase surgical precision. In this Review, we discuss how the knowledge derived from these new approaches is challenging our way of thinking about surgery to stop focal seizures. In particular, we highlight the importance of looking beyond the EEG seizure onset zone and considering focal epilepsy as a brain network disease in which long-range connections need to be taken into account. We also explore how new diagnostic techniques are revealing essential information in the brain that was previously hidden from view.

Clustering of co-occurring conditions in autism spectrum disorder during early childhood: A retrospective analysis of medical claims data.

Individuals with autism spectrum disorder (ASD) are frequently affected by co-occurring medical conditions (COCs), which vary in severity, age of onset, and pathophysiological characteristics. The presence of COCs contributes to significant heterogeneity in the clinical presentation of ASD between individuals and a better understanding of COCs may offer greater insight into the etiology of ASD in specific subgroups while also providing guidance for diagnostic and treatment protocols. This study retrospectively analyzed medical claims data from a private United States health plan between years 2000 and 2015 to investigate patterns of COC diagnoses in a cohort of 3,278 children with ASD throughout their first 5 years of enrollment compared to 279,693 children from the general population without ASD diagnoses (POP cohort). Three subgroups of children with ASD were identified by k-means clustering using these COC patterns. The first cluster was characterized by generally high rates of COC diagnosis and comprised 23.7% (n = 776) of the cohort. Diagnoses of developmental delays were dominant in the second cluster containing 26.5% (n = 870) of the cohort. Children in the third cluster, making up 49.8% (n = 1,632) of the cohort, had the lowest rates of COC diagnosis, which were slightly higher than rates observed in the POP cohort. A secondary analysis using these data found that gastrointestinal and immune disorders showed similar longitudinal patterns of prevalence, as did seizure and sleep disorders. These findings may help to better inform the development of diagnostic workup and treatment protocols for COCs in children with ASD. Autism Res 2019, 12: 1272-1285. © 2019 International Society for Autism Research, Wiley Periodicals, Inc. LAY SUMMARY: Medical conditions that co-occur with autism spectrum disorder (ASD) vary significantly from person to person. This study analyzed patterns in diagnosis of co-occurring conditions from medical claims data and observed three subtypes of children with ASD. These results may aid with screening for co-occurring conditions in children with ASD and with understanding ASD subtypes.

Cognitive impairment and behavioral disorders in Encephalopathy related to Status Epilepticus during slow Sleep: diagnostic assessment and outcome.

Encephalopathy related to Status Epilepticus during slow Sleep (ESES) is an age-dependent phenomenon, with usual spontaneous resolution during teenage years. However, cognitive outcome is often more disappointing, with permanent cognitive deficits in the large majority of children seen in later life. Presuming this to be an epileptic encephalopathy, current treatment practices are almost exclusively guided by the effect of the AEDs used on the degree of EEG abnormality in sleep. However, the major goal of therapy in ESES syndrome should in fact be to prevent or reduce associated cognitive and neurodevelopmental deficits. Whether or not the EEG pattern of ESES should be completely suppressed to improve cognition is unknown. Discussions on both diagnostic assessment and outcome of cognitive impairment and behavioral disorders should systematically take into account the complexity of the disorder; not only in terms of the evolution or fluctuations of the EEG patterns but also in relation to the underlying etiologies (at least lesional versus non-lesional) and age at diagnosis. We present a common basic assessment protocol, including the minimum technical requirements for polygraphic recording, and a treatment practice protocol that could both be applied in all centres dealing with this rare form of epilepsy. Such an approach would also allow a comprehensive collection of data prospectively, for a better understanding of the natural evolution of the disorder and an evidence-based evaluation of our practices.

An assessment of KIR channel function in human cerebral arteries.

In the rodent cerebral circulation, inward rectifying K+ (KIR) channels set resting tone and the distance over which electrical phenomena spread along the arterial wall. The present study sought to translate these observations into human cerebral arteries obtained from resected brain tissue. Computational modeling and a conduction assay first defined the impact of KIR channels on electrical communication; patch-clamp electrophysiology, quantitative PCR, and immunohistochemistry then characterized KIR2.x channel expression/activity. In keeping with rodent observations, computer modeling highlighted that KIR blockade should constrict cerebral arteries and attenuate electrical communication if functionally expressed. Surprisingly, Ba2+ (a KIR channel inhibitor) had no effect on human cerebral arterial tone or intercellular conduction. In alignment with these observations, immunohistochemistry and patch-clamp electrophysiology revealed minimal KIR channel expression/activity in both smooth muscle and endothelial cells. This absence may be reflective of chronic stress as dysphormic neurons, leukocyte infiltrate, and glial fibrillary acidic protein expression was notable in the epileptic cortex. In closing, KIR2.x channel expression is limited in human cerebral arteries from patients with epilepsy and thus has little impact on resting tone or the spread of vasomotor responses. NEW & NOTEWORTHY KIR2.x channels are expressed in rodent cerebral arterial smooth muscle and endothelial cells. As they are critical to setting membrane potential and the distance signals conduct, we sought to translate this work into humans. Surprisingly, KIR2.x channel activity/expression was limited in human cerebral arteries, a paucity tied to chronic brain stress in the epileptic cortex. Without substantive expression, KIR2.x channels were unable to govern arterial tone or conduction.

Seizure cluster: Definition, prevalence, consequences, and management.

PURPOSE: To summarize definitions, prevalence, risk factors, consequences, and acute management of seizure clusters using rescue medications. METHODS: We searched MEDLINE for studies that assessed definitions, clinical characteristics, outcomes, and use of rescue medication for aborting seizure clusters. RESULTS: Different clinical and statistical definitions for seizure clusters have been proposed, including: ≥3 seizures in 24 h, ≥2 seizures in 24 h, and ≥2 seizures in 6 h. Most studies of seizure clusters have been conducted in tertiary epilepsy centers, with refractory epilepsy patients. Patients with severe and poorly controlled epilepsy are more likely to experience seizure clusters. Seizure clusters can result in increased health care utilization and have negative impact on the quality of life of patients and caregivers. Use of benzodiazepine rescue medications in acute management of seizure clusters can help avoid progression to status epilepticus and reduce emergency room visits. Rescue medications are underutilized in seizure clusters. Currently, rectal diazepam gel is the only FDA approved rescue medication for seizure clusters. In addition, buccal midazolam is approved in European countries for treatment of prolonged seizures. However, various non-rectal non-IV benzodiazepines are safe and effective in treating acute seizures and clusters. Most patients and caregivers preferred non-rectal routes. CONCLUSION: Identifying patients that are at high risk for seizure clusters, providing them with formal action plans and educating them about use of rescue medication for seizure clusters can help ameliorate the outcomes in this group of epilepsy patients.

Electrophysiological Assessment of the Impact of Mobile Phone Radiation on Cognition in Persons With Epilepsy.

PURPOSE: Serious concerns about the effect of mobile phone radiation on cognition are growing. This study aimed to assess the possible effect of mobile phone radiation in persons with epilepsy and in normal subjects. METHODS: The amplitude and reaction time of auditory event-related potentials (P300) and occipital alpha frequency were compared before and after exposure with a 30-minute call in 30 persons with epilepsy and in 30 control subjects. Alpha power was monitored before, during, and after exposure to mobile phone radiation. Moreover, correlations with clinical aspects were analyzed. RESULTS: Increased reaction time and decreased P300 amplitude were more evident in persons with epilepsy. A significant decrease in alpha power was noted in control subjects and persons with epilepsy and was associated with an increased bilateral alpha frequency. In persons with epilepsy, such changes significantly correlated with the time since the last seizure and with the therapy regimen. CONCLUSIONS: Thirty-minute exposure to mobile phone radiation has a significant effect on the electrophysiological correlates of cognition, especially in persons with epilepsy.