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Summary:Purpose: The International League Against Epilepsy (ILAE) Commission on Healthcare Policy in consultation with the World Health Organization (WHO) examined the applicability and usefulness of various measures for monitoring epilepsy healthcare services and systems across countries. The goal is to provide planners and policymakers with tools to analyze the impact of healthcare services and systems and evaluate efforts to improve performance.Methods: Commission members conducted a systematic literature review and consulted with experts to assess the nature, strengths, and limitations of the treatment gap and resource availability measures that are currently used to assess the adequacy of epilepsy care. We also conducted a pilot study to determine the feasibility and applicability of using new measures to assess epilepsy care developed by the WHO including DisabilityAdjusted Life Years (DALYs), responsiveness, and financial fairness.Results: The existing measures that are frequently used to assess the adequacy of epilepsy care focus on structural or process factors whose relationship to outcomes are indirect and may vary across regions. The WHO measures are conceptually superior because of their breadth and connection to articulated and agreed upon outcomes for health systems. However, the WHO measures require data that are not readily available in developing countries and most developed countries as well.Conclusion: The epilepsy field should consider adopting the WHO measures in country assessments of epilepsy burden and healthcare performance whenever data permit. Efforts should be made to develop the data elements to estimate the measures.

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Background. Functional magnetic resonance imaging (fMRI) is commonly applied to study the neural substrates of language in clinical research and for neurosurgical planning. fMRI language mapping is used to assess language lateralisation, or determine hemispheric dominance, and to localise regions of the brain involved in language. Routine fMRI has been introduced in the Epilepsy Unit at Mediclinic Constantiaberg to contribute to the current functional mapping procedures used in pre-surgical planning. Method. In this paper we describe the language paradigms used in these routine studies as well as the results from 22 consecutive epilepsy patients. Multi-subject analyses were performed to assess the reliability of activation patterns generated by two language mapping paradigms, namely a verb generation task and passive listening task. Results from a finger-tapping task are also presented. Results. The paradigms generate reliable and robust signal changes, enabling both the lateralisation of language and localisation of expressive and receptive language cortex. Conclusion. The fMRI results are meaningful at the group and individual level and can be recommended for language mapping in presurgical patients.

More than half of adults with epilepsy undergoing resective epilepsy surgery achieve long-term seizure freedom and might consider withdrawing antiseizure medications (ASMs). We aimed to identify predictors of seizure recurrence after starting postoperative ASM withdrawal and develop and validate predictive models. We performed an international multicentre observational cohort study in nine tertiary epilepsy referral centres. We included 850 adults who started ASM withdrawal following resective epilepsy surgery and were free of seizures other than focal non-motor aware seizures before starting ASM withdrawal. We developed a model predicting recurrent seizures, other than focal non-motor aware seizures, using Cox proportional hazards regression in a derivation cohort (n = 231). Independent predictors of seizure recurrence, other than focal non-motor aware seizures, following the start of ASM withdrawal were focal non motor-aware seizures after surgery and before withdrawal (adjusted hazards ratio [aHR] 5.5, 95% confidence interval [CI] 2.7-11.1), history of focal to bilateral tonic-clonic seizures before surgery (aHR 1.6, 95% CI 0.9-2.8), time from surgery to the start of ASM withdrawal (aHR 0.9, 95% CI 0.8-0.9), and number of ASMs at time of surgery (aHR 1.2, 95% CI 0.9-1.6). Model discrimination showed a concordance statistic of 0.67 (95% CI 0.63-0.71) in the external validation cohorts (n = 500). A secondary model predicting recurrence of any seizures (including focal non-motor aware seizures) was developed and validated in a subgroup that did not have focal non-motor aware seizures before withdrawal (n = 639), showing a concordance statistic of 0.68 (95% CI 0.64-0.72). Calibration plots indicated high agreement of predicted and observed outcomes for both models. We show that simple algorithms, available as graphical nomograms and online tools (predictepilepsy.github.io), can provide probabilities of seizure outcomes after starting postoperative ASMs withdrawal. These multicentre-validated models may assist clinicians when discussing ASM withdrawal after surgery with their patients.