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In this paper we look at non-pharmaceutical treatments for intractable epilepsy based on neurophysiological methods especially with EEG analysis. In summary, there are a number of limbic and thalamo-cortical related structures involved in the processing of musical emotion (exposure), including the amygdala (arousal, expression of mood, fear), hippocampus (memory, regulation of HPA axis, stress), parahippocampal gyrus (recognition, memory retrieval), insula (valence), temporal poles (connectivity), ventral striatum (expectation and experience of reward), orbitofrontal cortex (valence) and cingulate cortex (autonomic regulation). One method is to audify (a form of sonification) EEG activity to find music by feedback to entrain abnormal EEG activity. We discuss various methods and our use of X-System (https://www.x-system.co.uk/) which is a computational model of the musical brain capable of predicting the neurophysiological effects of music. It models structures and pathways related to responses to music, including the cochlea, brain stem, auditory and motor cortex, as well as basal ganglia, cerebellum and limbic structures. It can predict autonomic and endocrine activity as well as the substrates of electrical activity to select music which can regularise EEG abnormalities to decrease epileptic activity and seizures, especially in those unresponsive to antiepileptic medication or invasive treatments., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 The Authors. Published by Elsevier Inc. All rights reserved.)

Objective: Interictal dysphoric disorder (IDD) has been regarded as an affective disorder occurring only in people with epilepsy (PWE). Data showing similar characteristics and similar prevalence of IDD in patients with migraine and with psychogenic nonepileptic seizures question the epilepsy-specific nature of IDD. The aim of the study was to investigate the nature of IDD in people with prevalent epilepsy with mood disorders and people with mood disorders who are free of neurological disease., Methods: This is a case-control study, with 142 patients with a confirmed diagnosis of epilepsy and major depressive disorder (MDD; cases) and 222 patients with MDD only (controls). MDD diagnosis was confirmed by a structured clinical interview for Diagnostic and Statistical Manual of Mental Disorders, 4th edition (SCID-I-RV). We used the Beck Depression Inventory and the Beck Anxiety Inventory to estimate anxiety and depression levels and the Interictal Dysphoric Disorder Inventory (IDDI) to confirm the presence of IDD. Mann-Whitney U test, Pearson chi-squared, Spearman correlation, and logistic regression were used., Results: No differences were found in the prevalence of IDD between PWE with MDD and people with MDD alone (88.73% vs. 85.13%, χ2 = .96, p = .32). There were no differences between the groups overall or for any IDDI subscales (all p > .05). In both groups, IDD symptoms were grouped with the same incidence and had the same duration and periodicity. IDD was not associated with epilepsy (odds ratio = .84, 95% confidence interval = .40-1.98, p = .72). No significant correlation was found between epilepsy, demographic characteristics, and all IDDI subscales (all p > .05). Notably, patients with IDD suffered from affective disorders longer (6.68 ± 6.82 years vs. 3.7 ± 3.97 years, p = .001) and also received higher scores on all psychometric scales (all p < .05)., Significance: This study does not confirm the specificity of IDD for epilepsy. The presence of IDD symptoms may be associated with a more severe course of MDD and significant anxiety distress., (© 2021 International League Against Epilepsy.)

Objective: To develop and validate a tool for individualized prediction of sudden unexpected death in epilepsy (SUDEP) risk, we reanalyzed data from 1 cohort and 3 case-control studies undertaken from 1980 through 2005., Methods: We entered 1,273 epilepsy cases (287 SUDEP, 986 controls) and 22 clinical predictor variables into a Bayesian logistic regression model., Results: Cross-validated individualized model predictions were superior to baseline models developed from only average population risk or from generalized tonic-clonic seizure frequency (pairwise difference in leave-one-subject-out expected log posterior density = 35.9, SEM ± 12.5, and 22.9, SEM ± 11.0, respectively). The mean cross-validated (95% bootstrap confidence interval) area under the receiver operating curve was 0.71 (0.68-0.74) for our model vs 0.38 (0.33-0.42) and 0.63 (0.59-0.67) for the baseline average and generalized tonic-clonic seizure frequency models, respectively. Model performance was weaker when applied to nonrepresented populations. Prognostic factors included generalized tonic-clonic and focal-onset seizure frequency, alcohol excess, younger age at epilepsy onset, and family history of epilepsy. Antiseizure medication adherence was associated with lower risk., Conclusions: Even when generalized to unseen data, model predictions are more accurate than population-based estimates of SUDEP. Our tool can enable risk-based stratification for biomarker discovery and interventional trials. With further validation in unrepresented populations, it may be suitable for routine individualized clinical decision-making. Clinicians should consider assessment of multiple risk factors, and not focus only on the frequency of convulsions., (Copyright © 2021 The Author(s). Published by Wolters Kluwer Health, Inc. on behalf of the American Academy of Neurology.)

Based on a multicenter cohort of people with anti-NMDA receptor encephalitis (anti-NMDARE), we describe seizure phenotypes, electroencephalographic (EEG) findings, and anti-seizure treatment strategies. We also investigated whether specific electrographic features are associated with persistent seizures or status epilepticus after acute presentation. In this retrospective cohort study, we reviewed records of children and adults with anti-NMDARE between 2010 and 2014 who were included in the Rare Epilepsy of New York City database, which included the text of physician notes from five academic medical centers. Clinical history (e.g., seizure semiology) and EEG features (e.g., background organization, slowing, epileptiform activity, seizures, sleep architecture, extreme delta brush) were abstracted. We compared clinical features associated with persistent seizures (ongoing seizures after one month from presentation) and status epilepticus, using bivariate and multivariable analyses. Among the 38 individuals with definite anti-NMDARE, 32 (84%) had seizures and 29 (76%) had seizures captured on EEG. Electrographic-only seizures were identified in five (13%) individuals. Seizures started at a median of four days after initial symptoms (IQR: 3-6 days). Frontal lobe-onset focal seizures were most common (n=12; 32%). Most individuals (31/38; 82%) were refractory to anti-seizure medications. Status epilepticus was associated with younger age (15 years [9-20] vs. 23 years [18-27]; p=0.04) and Hispanic ethnicity (30 [80%] vs. 8 [36%]; p=0.04). Persistent seizures (ongoing seizures after one month from presentation) were associated with younger age (nine years [3-14] vs. 22 years [15-28]; p<0.01). Measured electrographic features were not associated with persistent seizures. Seizures associated with anti-NMDARE are primarily focal seizures originating in the frontal lobes. Younger patients may be at increased risk of epileptogenesis and status epilepticus. Continuous EEG monitoring helps identify subclinical seizures, but specific EEG findings may not predict the severity or persistence of seizures during hospitalization.

Objective: This retrospective study explores to what extent additional information from event witnesses provided using the novel 31-item Paroxysmal Event Observer (PEO) Questionnaire improves the differentiation among epilepsy, syncope, and psychogenic nonepileptic seizures (PNES) achievable with information provided by patients alone., Methods: Patients with transient loss of consciousness caused by proven epilepsy (n = 86), syncope (n = 79), or PNES (n = 84) attending specialist neurology/syncope services in the United Kingdom and event observers provided Paroxysmal Event Profile (PEP), PEO, and personal information (PI) (e.g., sex, age, medical history) data. PEO data were subjected to exploratory factor analysis (EFA) followed by confirmatory factor analysis (CFA). PEO, PEP, and PI data were used separately and in combination to differentiate diagnoses by pairwise and multinomial logistic regressions. Predicted diagnoses were compared with gold standard medical diagnoses., Results: EFA/CFA identified a 4-factor structure of the PEO based on 26/31 questionnaire items with loadings ≥0.4. Observer-reported factors alone differentiated better between syncope and epilepsy than patient-reported factors (accuracy: 96% vs 85%, p = 0.0004). Observer-reported data improved accuracy over differentiation based on patient-reported data alone from 90% to 100% between syncope and epilepsy ( p = 0.005), 76% to 83% between epilepsy and PNES ( p = 0.006), and 93% to 95% between syncope and PNES ( p = 0.098)., Conclusions: Information from observers can make an important contribution to the differentiation of epilepsy from syncope or PNES but adds less to that of syncope from PNES., (© 2019 American Academy of Neurology.)

Objective: To examine the consistency of applying the Nashef et al (2012) criteria to classify sudden unexpected death in epilepsy (SUDEP)., Methods: We reviewed cases from the North American SUDEP Registry (n = 250) and Medical Examiner Offices (n = 1301: 698 Maryland, 457 New York City, 146 San Diego). Two epileptologists with expertise in SUDEP and epilepsy-related mortality independently reviewed medical records, scene investigation, autopsy, and toxicology and assigned a SUDEP class., Results: Major areas of disagreement arose between adjudicators concerned differentiating (1) Definite SUDEP Plus Comorbidity from Possible SUDEP and (2) Resuscitated (Near) SUDEP from SUDEP. In many cases, distinguishing between contributing and competing causes of death when trying to classify Definite SUDEP Plus Comorbidity versus Possible SUDEP is ambiguous and relies on judgement. Similarly, determining if an intervention was lifesaving or not (Resuscitated SUDEP or Not SUDEP), or if resuscitation merely delayed SUDEP (Resuscitated SUDEP or SUDEP) is often a judgement call and can differ between experienced adjudicators. Given these persisting ambiguities, we propose more explicit criteria for distinguishing these categories., Significance: Accurate and consistent classification of cause of death among individuals with epilepsy remains a dire public health concern. SUDEP is likely underestimated in national health statistics. Greater standardization of criteria among epilepsy researchers, medical examiners, and epidemiologists to determine cause and classify death will lead to more accurate tracking of SUDEP and other epilepsy-related mortalities., (Wiley Periodicals, Inc. © 2018 International League Against Epilepsy.)

Sudden unexpected death of an individual with epilepsy can pose a challenge to death investigators, as most deaths are unwitnessed, and the individual is commonly found dead in bed. Anatomic findings (eg, tongue/lip bite) are commonly absent and of varying specificity, thereby limiting the evidence to implicate epilepsy as a cause of or contributor to death. Thus it is likely that death certificates significantly underrepresent the true number of deaths in which epilepsy was a factor. To address this, members of the National Association of Medical Examiners, North American SUDEP Registry, Epilepsy Foundation SUDEP Institute, American Epilepsy Society, and the Centers for Disease Control and Prevention constituted an expert panel to generate evidence-based recommendations for the practice of death investigation and autopsy, toxicological analysis, interpretation of autopsy and toxicology findings, and death certification to improve the precision of death certificate data available for public health surveillance of epilepsy-related deaths. The recommendations provided in this paper are intended to assist medical examiners, coroners, and death investigators when a sudden unexpected death in a person with epilepsy is encountered., (© 2018 National Association of Medical Examiners. This paper has been simultaneously published in Epilepsia. Volume 59, #3 and Academic Forensic Pathology: The Official Publication of the National Association of Medical Examiners, Volume 8, #1.)

Objective: Lack of standardized terminology on death certificates (DCs) of SUDEP type cases may obscure the presence of epilepsy in these deaths. Most DCs for individuals dying unexpectedly with epilepsy are certified by medical examiners (MEs). The purpose of this study was to gauge death certification practices of MEs when interpreting SUDEP cases and assess implications for valid surveillance of SUDEP., Materials and Methods: A survey consisting of clinical vignettes describing deaths in individuals with epilepsy was sent to medical examiners. Respondents were asked to indicate how they would certify death on a DC. Similar text responses were aggregated and coded according to the 10th revision of the International Statistical Classification of Diseases and Related Health Problems (ICD-10) coding system., Results: A total of 847 responses on 11 cases were received. Depending upon the vignette, the proportion of responses within each case that did not have an ICD-10 seizure code ranged from 3% to 62%. G40.9 (Epilepsy, unspecified) resulted from 43% of responses, and R56.8 (Other and unspecified convulsion) resulted from 38% of responses., Conclusion: The survey indicates that a high proportion of DCs do not have a seizure code and would not be identified utilizing these ICD-10 codes. The complicated nature of deaths in SUDEP, unclear circumstances surrounding a given death, and the lack of familiarity with SUDEP by surviving relatives may all contribute to variable terminology used to certify SUDEP deaths. Our results emphasize the need for collaboration between neurologists and forensic pathologists to develop a more uniform approach to death certification in SUDEP that will facilitate SUDEP research and inform relatives of individuals who die of SUDEP., (Copyright © 2017 Elsevier B.V. All rights reserved.)

The North American SUDEP Registry (NASR) is a repository of clinical data and biospecimens in cases of sudden unexpected death in epilepsy (SUDEP), a leading cause of epilepsy-related deaths. We assessed whether bereaved families were aware of SUDEP before their family member's death and their preferences for SUDEP disclosure. At enrollment, next-of-kin of SUDEP cases completed an intake interview, including questions assessing premorbid SUDEP discussions. Only 18.1% of the 138 next-of-kin recalled a previous discussion of SUDEP with a healthcare provider or support resource. Of the 112 who did not recall such a discussion, 72.3% wished it was discussed, 10.7% were satisfied it was not discussed, and 17% were unsure. A history of status epilepticus predicted SUDEP discussion. Rates of SUDEP discussion were not significantly higher among SUDEPs after 2013 (the approximate study midpoint) compared with those before then. Our study suggests that SUDEP remains infrequently discussed with family members of persons with epilepsy. Nearly three-quarters of family members wished they had known of SUDEP before the death. However, some were indifferent or were satisfied that this discussion had not occurred. We must balance more systematic education of patients and families about SUDEP while respecting individual preferences about having this discussion., (Copyright © 2017 Elsevier Inc. All rights reserved.)

The syndrome known as nocturnal frontal lobe epilepsy is recognized worldwide and has been studied in a wide range of clinical and scientific settings (epilepsy, sleep medicine, neurosurgery, pediatric neurology, epidemiology, genetics). Though uncommon, it is of considerable interest to practicing neurologists because of complexity in differential diagnosis from more common, benign sleep disorders such as parasomnias, or other disorders like psychogenic nonepileptic seizures. Moreover, misdiagnosis can have substantial adverse consequences on patients' lives. At present, there is no consensus definition of this disorder and disagreement persists about its core electroclinical features and the spectrum of etiologies involved. To improve the definition of the disorder and establish diagnostic criteria with levels of certainty, a consensus conference using formal recommended methodology was held in Bologna in September 2014. It was recommended that the name be changed to sleep-related hypermotor epilepsy (SHE), reflecting evidence that the attacks are associated with sleep rather than time of day, the seizures may arise from extrafrontal sites, and the motor aspects of the seizures are characteristic. The etiology may be genetic or due to structural pathology, but in most cases remains unknown. Diagnostic criteria were developed with 3 levels of certainty: witnessed (possible) SHE, video-documented (clinical) SHE, and video-EEG-documented (confirmed) SHE. The main research gaps involve epidemiology, pathophysiology, treatment, and prognosis., (© 2016 American Academy of Neurology.)

Epilepsy is one of the most common disabling neurological disorders, but significant gaps exist in our knowledge about childhood epilepsy in rural populations. The present study assessed the prevalence of pediatric epilepsy in nine low-income rural counties in the Midwestern United States overall and by gender, age, etiology, seizure type, and syndrome. Multiple sources of case identification were used, including medical records, schools, community agencies, and family interviews. The prevalence of active epilepsy was 5.0/1000. Prevalence was 5.1/1000 in males and 5.0/1000 in females. Differences by age group and gender were not statistically significant. Future research should focus on methods of increasing study participation in rural communities, particularly those in which research studies are rare., (Copyright © 2015 Elsevier Inc. All rights reserved.)

The World Health Organization (WHO) International Classification of Diseases (ICD) has been used to classify causes of morbidity and mortality such as epilepsy for more than 50 years. The aims of this critical commentary are to do the following: (1) Introduce the ICD classification, summarize the ICD-9 and ICD-10 codes for epilepsy and seizures, and discuss the challenges of mapping epilepsy codes between these two versions; (2) discuss how the ICD-9 and ICD-10 relate to the revised International League Against Epilepsy (ILAE) terminology and concepts for classification of seizures and epilepsies; (3) discuss how ICD-coded data have been used for epilepsy care and research and briefly examine the potential impact of the international ICD-10 clinical modifications on research; (4) discuss the upcoming ICD-11 codes and the role of the epilepsy community in their development; and (5) discuss how the ICD-11 will conform more closely to the current ILAE terminology and classification of the epilepsies and seizures and its potential impact on clinical care, surveillance, and public health and research., (Wiley Periodicals, Inc. © 2015 International League Against Epilepsy.)

The incidence, prevalence, and mortality of epilepsy vary across countries with different economies. Differences can be explained by methodological problems, premature mortality, seizure remission, socioeconomic factors, and stigma. Diagnostic misclassification-one possible explanation-may result from inclusion of patients with acute symptomatic or isolated unprovoked seizures. Other sources of bias include age and ethnic origin of the target population, definitions of epilepsy, retrospective versus prospective ascertainment, sources of cases, and experienced and perceived stigma. Premature mortality is an issue in low-income countries (LICs), where treatment gap, brain infections, and traumatic brain injuries are more common than in high-income countries (HICs). Death rates may reflect untreated continued seizures or inclusion of acute symptomatic seizures. Lack of compliance with antiepileptic drugs has been associated with increased risk for death, increased hospital admissions, motor vehicle accidents, and fractures in poor communities. Epilepsy is a self-remitting clinical condition in up to 50% of cases. Studies in untreated individuals from LICs have shown that the proportion of remissions overlaps that of countries where patients receive treatment. When the identification of patients is based on spontaneous reports (e.g., door-to-door surveys), patients in remission may be less likely to disclose the disease for fear of stigmatization with no concurrent benefits. This might lead to underascertainment of cases when assessing the lifetime prevalence of epilepsy. In LICs, the proportion of people living in poverty is greater than in HICs. Poverty is associated with risk factors for epilepsy, risk for developing epilepsy, and increased mortality. The high incidence and prevalence of epilepsy found in LICs is also observed in low income individuals from HICs. Epileptogenic conditions are associated with an increased mortality. This may partly explain the difference between incidence and lifetime prevalence of epilepsy in LICs. Poverty within LICs and HICs could be a preventable cause of mortality in epilepsy., (Wiley Periodicals, Inc. © 2014 International League Against Epilepsy.)

Purpose: Epilepsy patients have a significantly higher rate of anxiety and depression than the general population, and psychiatric disease is particularly prevalent among drug resistant epilepsy patients. Symptoms of anxiety and depression might serve as a barrier to appropriate epilepsy care. The aim of this study was to determine if drug resistant epilepsy patients with symptoms of anxiety and/or depression receive different epilepsy management than controls., Method: We identified 83 patients with drug resistant focal epilepsy seen at the Penn Epilepsy Center. Upon enrollment, all patients completed 3 self-report scales and a neuropsychiatric inventory and were grouped into those with symptoms of anxiety and/or depression and controls. Each patient's medical records were retrospectively reviewed for 1-2 years, and objective measures of outpatient and inpatient epilepsy management were assessed., Results: At baseline, 53% (n=43) of patients screened positive for symptoms of anxiety and/or depression. The remaining 47% (n=38) served as controls. Patients with anxiety and/or depression symptoms had more missed outpatient visits per year compared to controls (median 0.84 vs. 0.48, p=0.02). Patients with symptoms of both anxiety and depression were more likely to undergo an inpatient admission or procedure (56% vs. 24%, p=0.02)., Conclusion: For most measures of epilepsy management, symptoms of anxiety and/or depression do not alter epilepsy care; however, drug resistant epilepsy patients with anxiety and/or depression symptoms may be more likely to miss outpatient appointments, and those with the highest burden of psychiatric symptoms may be admitted more frequently for inpatient services compared to controls., (Copyright © 2013 British Epilepsy Association. Published by Elsevier Ltd. All rights reserved.)

Objective: Because some recent studies suggest increased risk for suicide-related behavior (SRB; ideation, attempts) among those receiving antiepileptic drugs (AEDs), we examined the temporal relationship between new AED exposure and SRB in a cohort of older veterans., Methods: We used national Veterans Health Administration databases to identify veterans aged ≥65 years who received a new AED prescription in 2004-2006. All instances of SRB were identified using ICD-9-CM codes 1 year before and after the AED exposure (index) date. We also identified comorbid conditions and medication associated with SRB in prior research. We used generalized estimating equations with a logit link to examine the association between new AED exposure and SRB during 30-day intervals during the year before and after the index date, controlling for potential confounders., Results: In this cohort of 90,263 older veterans, the likelihood of SRB the month prior to AED exposure was significantly higher than in other time periods even after adjusting for potential confounders. Although there were 87 SRB events (74 individuals) the year before and 106 SRB events (92 individuals) after, approximately 22% (n = 16) of those also had SRB before the index date. Moreover, the rate of SRB after AED start was gradually reduced over time., Conclusions: The temporal pattern of AED exposure and SRB suggests that, in clinical practice, the peak in SRB is prior to exposure. While speculative, the rate of gradual reduction in SRB thereafter suggests that symptoms may prompt AED prescription.

Objective: Stigma is associated with prevalent epilepsy, but its association with incident epilepsy is unknown., Methods: We identified 209 children and adults with incident seizures from the diverse impoverished community of northern Manhattan. We interviewed 94 participants, aged 16 and older, about lifetime history of depression, health status, medical history, and stigma., Results: At baseline, 18 (22.5%) participants reported experiencing stigma. Stigma was reported by 9 (50.0%) with depression and 9 (14.5%) without depression (P=0.002). At 1 year, 7 (8.1%) participants reported experiencing stigma. Stigma was reported by 5 (31.3%) with depression versus 1 (1.6%) without depression (P<0.0001). At both time points, odds of stigma increased when lifetime history of depression and fair/poor health was present., Conclusions: Previous work revealed negative effects of prevalent epilepsy on stigma. In the low-income, predominantly Hispanic community of northern Manhattan, we found incident epilepsy was associated with stigma when lifetime history of depression or fair/poor health was present., (Copyright © 2011 Elsevier Inc. All rights reserved.)

Purpose: To determine the persistence of disparities in health care use and outcomes in socioeconomically diverse populations of epilepsy patients., Methods: We followed patients for a year at one clinic in Houston and two in New York City that serve predominantly low-income, minority, Medicaid-insured, or uninsured patients, and a fourth clinic in Houston that serves a more balanced racial/ethnic and higher socioeconomic status (SES) population. We interviewed the patients several times regarding health care use, seizures, side effects, and outcomes, and examined differences between the patients at the three low-SES clinics and the patients at the high-SES clinic., Key Findings: After controlling for patients' age, gender, race/ethnicity, marital status, seizures, and side effects we found that low SES patients had consistently higher use of the hospital emergency room and more visits to a general practitioner. Hospitalizations were also consistently higher but the differences were not significant in most periods. Neurologist visits were relatively similar. Patients at the low SES sites also had a greater likelihood of having uncontrolled seizures, drug-related side effects, to be stigmatized, and have a lower overall quality of life throughout the study period., Significance: These findings suggest the persistence of SES-related disparities in health care use and outcomes among patients with epilepsy who are receiving regular care., (Wiley Periodicals, Inc. © 2011 International League Against Epilepsy.)

Purpose: We investigated the cumulative probability of seizure remission and relapse in an adult population with drug-resistant epilepsy and frequent seizures. In addition, we determined clinical predictors of remission and relapse in this population., Methods: IN 2003, we identified 246 patients at a single center with drug-resistant epilepsy defined as at least one seizure per month and failure of at least two antiepileptic drugs. These patients were followed prospectively (cohort design). We examined the cumulative probability of seizure remission and relapse in this population using Kaplan-Meier methodology. Clinical predictors of remission and relapse were also evaluated using Cox regression analysis., Key Findings: The estimated cumulative probability of 12-month seizure remission was 34.6% at 7 years in the entire population and 33.4% when limited to those without surgery. The risk for relapse after a 12-month period of seizure remission was 71.2% at 5 years. Negative predictors of seizure remission included developmental delay, symptomatic generalized epilepsy syndrome, duration of intractability, and number of antiepileptic drugs failed. Localization-related epilepsy was the only negative predictor of relapse., Significance: Among patients with drug-resistant epilepsy, 5% per year enter seizure remission even with a follow-up of 6 years. However, a substantial proportion of these patients relapse after the first year following a remission. The large proportion of patients entering a significant remission gives these patients hope; however, caution should be advised when discussing the likelihood of future seizures., (Wiley Periodicals, Inc. © 2011 International League Against Epilepsy.)

Objectives: Previous studies that have assessed the risk of developing epilepsy have failed to account for the competing risk of death, significant in the elderly where epilepsy incidence is highest. We report the lifetime risk for epilepsy, accounting for the competing risk of mortality., Methods: Lifetime risk and cumulative incidence of epilepsy were examined among Rochester, MN, residents between 1960 and 1979. Age-, gender-, and calendar year-specific deaths were obtained for Rochester, MN. Lifetime risk was calculated as the conditional probability of developing epilepsy by a specific age for a person reaching that age who had not yet developed epilepsy. Lifetime risk and cumulative incidence were compared for age and time period., Results: We identified 412 individuals with incident epilepsy diagnosed between January 1, 1960, and December 31, 1979. Lifetime risk was 1.6% to age 50 and 3.0% to age 80; cumulative incidence was 1.7% to age 50 and 3.4% to age 80. Similar differences were seen across epilepsy etiologies. Lifetime risk through 87 years of age increased over time from 3.5% in 1960-1969 to 4.2% in 1970-1979., Conclusions: One in 26 people will develop epilepsy during their lifetime. Lifetime risk provides an estimate of an individual's risk for epilepsy over his or her remaining lifetime, translates into the number of people who are expected to develop epilepsy, and assists health care planners as they estimate service needs for epilepsy.

Purpose: The purpose of this study was to identify sociodemographic disparities in health care use among epilepsy patients receiving care at different sites and the extent to which the disparities persisted after adjusting for patient characteristics and site of care., Methods: Three months of health care use data were obtained from baseline interviews of approximately 560 patients at four sites. One-half of the patients were from a Houston site and two NYC sites that serve predominantly low-income, minority, publicly insured, or uninsured patients. The other half were at the remaining site in Houston that serves a more balanced racial/ethnic and higher sociodemographic population. Differences in general and specialist visits, hospital emergency room (ER) care, and hospitalizations were associated with race/ethnicity, income, and coverage. Logistic regression was used to assess the extent to which the differences persisted when adjusting for individual patient characteristics and site of care., Results: Compared to whites, blacks and Hispanics had higher rates of generalist visits [odds ratio (OR) = 5.3 and 4.9, p < 0.05), ER care (OR = 3.1 and 2.9, p < 0.05) and hospitalizations (OR = 5.4 and 6.2, p < 0.05), and lower rates of specialist visits (OR = 0.3 and 0.4, p < 0.05). A similar pattern was found related to patient income and coverage. The magnitude and significance of the disparities persisted when adjusting for individual characteristics but decreased substantially or were eliminated when site of care was added to the model., Discussion: There are sociodemographic disparities in health care for people with epilepsy that are largely explained by differences in where patients receive care.

Objective: We aimed to determine the likelihood of remission and its clinical predictors in adult patients meeting a strict definition of refractory epilepsy. We also wanted to investigate the influence of treatment regimen on remission., Methods: A total of 246 patients with treatment refractory epilepsy (having at least 1 seizure per month and having not responded positively to at least 2 antiepileptic drugs) were identified in 2000 and followed for 3 years. We used Kaplan-Meier methods to estimate the rate of achieving a 6-month terminal seizure remission and Cox regression analysis to evaluate clinical predictors for seizure remission., Results: The estimated 6-month terminal seizure remission rate was 19% (95% confidence interval, 14-26%) for all cases and 14% (95% confidence interval, 10-21%) when limited to those treated only with medication. Negative predictors for remission included a history of status epilepticus, younger age at intractability, number of failed drug therapies, and presence of mental retardation. No specific drug was significantly associated with remission, and frequently, no clear intervention led to terminal remission., Interpretation: Fifteen percent (approximately 5% per year) of a drug refractory epilepsy population obtained a 6-month terminal seizure remission. Our results signify that no matter how many antiepileptic drug therapies have failed, there is always hope of a meaningful seizure remission in this population. Furthermore, we have elucidated four clinical predictors that can aid the epileptologist in prognostication.

Objective: Migraine is associated with epilepsy, but the time order and nature of the relationship are unclear. We conducted a population based case control study to clarify the time order to determine whether migraine is a risk factor for epilepsy., Methods: Migraine symptoms were evaluated in a population-based case-control study of all incident epilepsy in Icelandic children and in matched controls (next two same sex births in the country)., Results: Migraine was associated with a fourfold increased risk for developing epilepsy, an association explained by migraine with aura (odds ratio, 8.1; 95% confidence interval, 2.7-24.3). Migraine without aura did not increase risk for epilepsy., Interpretation: Children with migraine with aura have a substantial increased risk to develop subsequent epilepsy. This finding is consistent with the hypothesis that migraine with aura and migraine without aura may be different disorders.

Background: No population-based incidence studies of epilepsy have studied syndrome classification from the outset. We prospectively studied the incidence of a single unprovoked seizure and epilepsy in the population of Iceland, and applied the syndrome classification endorsed by the International League Against Epilepsy to this population., Methods: We used a nationwide surveillance system to prospectively identify all residents of Iceland who presented with a first diagnosis of a single unprovoked seizure or epilepsy between December 1995 and February 1999. All cases were classified by seizure type, cause or risk factors, and epilepsy syndrome., Results: The mean annual incidence of first unprovoked seizures was 56.8 per 100,000 person-years, 23.5 per 100,000 person-years for single unprovoked seizures, and 33.3 per 100,000 person-years for epilepsy (recurrent unprovoked seizures). Incidence was similar in males and females. Partial seizures occurred in 40% and a putative cause was identified in 33%. Age-specific incidence was highest in the first year of life (130 per 100,000 person-years) and in those 65 years and older (110.5 per 100,000 person-years). Using strict diagnostic criteria for epilepsy syndromes, 58% of cases fell into non-informative categories. Idiopathic epilepsy syndromes were identified in 14% of all cases., Interpretation: Findings are consistent with incidence studies from developed countries. Although the epilepsy syndrome classification might be useful in tertiary epilepsy centers, it has limited practicality in population studies and for use by general neurologists.

Problem: The prevalence of epilepsy is high in many areas of Africa. This condition is stigmatized, and there are limited health personnel and facilities for diagnosis and treatment. A huge treatment gap is suspected for epilepsy, and data suggest that nearly 80-85% of people with epilepsy have never been diagnosed or treated. It is reported worldwide that the mortality among people with epilepsy is two- to threefold higher than in general population. An increase of at least this magnitude is suspected in Africa, but there are very few data. Verbal autopsy studies may be one way of carrying out studies of mortality for epilepsy in Africa because these methods do not rely on autopsies, which are rare, or upon death certificates, which are a poor source of information on death in Africa., Methods: This paper presents the literature on mortality after seizures in Africa, although there are few studies of mortality among people with epilepsy in Africa., Results: The existing studies suggest an increased risk of dying and a greater proportion of deaths that are epilepsy-related. One study reports a sixfold increase in mortality in people with epilepsy. This is higher than the two- to threefold increase reported in developed countries., Conclusions: Considering the high prevalence of this condition, the public health impact of epilepsy mortality is likely to be enormous.

A history of diuretic use has been shown to be protective for first unprovoked seizure in adult patients. Recent animal studies suggest that certain diuretics have anticonvulsant activity. We evaluated the potential for the anticonvulsant activity of current diuretic use in a population-based, case-control study in older adults. We also tested chlorthiazide and furosemide for seizure protection in animal models of epilepsy. Concurrent medical prescription of any diuretic was protective for the development of epilepsy [odds ratio (OR) = 0.62, 95% confidence interval (CI) = 0.39-0.99]. A protective effect for current thiazide use was observed (OR = 0.53, CI = 0.31-0.90), and a protective effect for furosemide was suggested (OR = 0.44, CI = 0.1-1.9). In mice, both chlorthiazide and furosemide suppressed the occurrence of maximal electroshock-induced seizures in a dose-dependent manner. Chlorthiazide's toxic dose for 50% of animals tested (TD50) could not be achieved even with dosing as high as 1,500 mg/kg for furosemide; TD50 was 549 mg/kg. Results were similar in rats. Furosemide and chlorthiazide are protective for unprovoked seizures in an epidemiological study and in animal models. Given the potential therapeutic value for seizure control, low toxicity, and low cost, therapeutic efficacy should be explored in clinical studies.