Drug-resistant generalized epilepsies: Revisiting the frontiers of idiopathic generalized epilepsies.

The 2017 International League Against Epilepsy (ILAE) classification suggested that the term "genetic generalized epilepsies" (GGEs) should be used for the broad group of epilepsies with so-called "generalized" seizure types and "generalized" spike-wave activity on EEG, based on a presumed genetic etiology. Within this framework, idiopathic generalized epilepsies (IGEs) are described as a subset of GGEs and include only four epileptic syndromes: childhood absence epilepsy, juvenile absence epilepsy, juvenile myoclonic epilepsy, and epilepsy with generalized tonic-clonic seizures alone. The recent 2022 ILAE definition of IGEs is based on the current state of knowledge and reflects a community consensus and is designed to evolve as knowledge advances. The term "frontiers of IGEs" refers to the actual limits of our understanding of these four syndromes. Indeed, among patients presenting with a syndrome compatible with the 2022 definition of IGEs, we still observe a significant proportion of patients presenting with specific clinical features, refractory seizures, or drug-resistant epilepsies. This leads to the discussion of the boundaries of IGEs and GGEs, or what is accepted within a clinical spectrum of a definite IGE. Here, we discuss several entities that have been described in the literature for many years and that may either constitute rare features of IGEs or a distinct differential diagnosis. Their recognition by clinicians may allow a more individualized approach and improve the management of patients presenting with such entities.

The landscape of drug resistant absence seizures in adolescents and adults: Pathophysiology, electroclinical spectrum and treatment options.

The persistence of typical absence seizures (AS) in adolescence and adulthood may reduce the quality of life of patients with genetic generalized epilepsies (GGEs). The prevalence of drug resistant AS is probably underestimated in this patient population, and treatment options are relatively scarce. Similarly, atypical absence seizures in developmental and epileptic encephalopathies (DEEs) may be unrecognized, and often persist into adulthood despite improvement of more severe seizures. These two seemingly distant conditions, represented by typical AS in GGE and atypical AS in DEE, share at least partially overlapping pathophysiological and genetic mechanisms, which may be the target of drug and neurostimulation therapies. In addition, some patients with drug-resistant typical AS may present electroclinical features that lie in between the two extremes represented by these generalized forms of epilepsy.

The sound of silence: Quantification of typical absence seizures by sonifying EEG signals from a custom-built wearable device.

OBJECTIVE: To develop and validate a method for long-term (24-h) objective quantification of absence seizures in the EEG of patients with childhood absence epilepsy (CAE) in their real home environment using a wearable device (waEEG), comparing automatic detection methods with auditory recognition after seizure sonification. METHODS: The waEEG recording was acquired with two scalp electrodes. Automatic analysis was performed using previously validated software (Persyst® 14) and then fully reviewed by an experienced clinical neurophysiologist. The EEG data were converted into an audio file in waveform format with a 60-fold time compression factor. The sonified EEG was listened to by three inexperienced observers and the number of seizures and the processing time required for each data set were recorded blind to other data. Quantification of seizures from the patient diary was also assessed. RESULTS: Eleven waEEG recordings from seven CAE patients with an average age of 8.18 ± 1.60 years were included. No differences in the number of seizures were found between the recordings using automated methods and expert audio assessment, with significant correlations between methods (ρ > .89, p < .001) and between observers (ρ > .96, p < .001). For the entire data set, the audio assessment yielded a sensitivity of .830 and a precision of .841, resulting in an F1 score of .835. SIGNIFICANCE: Auditory waEEG seizure detection by lay medical personnel provided similar accuracy to post-processed automatic detection by an experienced clinical neurophysiologist, but in a less time-consuming procedure and without the need for specialized resources. Sonification of long-term EEG recordings in CAE provides a user-friendly and cost-effective clinical workflow for quantifying seizures in clinical practice, minimizing human and technical constraints.

Predicting the therapeutic response to valproic acid in childhood absence epilepsy through electroencephalogram analysis using machine learning.

Childhood absence epilepsy (CAE) is a common type of idiopathic generalized epilepsy, manifesting as daily multiple absence seizures. Although seizures in most patients can be adequately controlled with first-line antiseizure medication (ASM), approximately 25 % of patients respond poorly to first-line ASM. In addition, an accurate method for predicting first-line medication responsiveness is lacking. We used the quantitative electroencephalogram (QEEG) features of patients with CAE along with machine learning to predict the therapeutic effects of valproic acid in this population. We enrolled 25 patients with CAE from multiple medical centers. Twelve patients who required additional medication for seizure control or who were shifted to another ASM and 13 patients who achieved seizure freedom with valproic acid within 6 months served as the nonresponder and responder groups. Using machine learning, we analyzed the interictal background EEG data without epileptiform discharge before ASM. The following features were analyzed: EEG frequency bands, Hjorth parameters, detrended fluctuation analysis, Higuchi fractal dimension, Lempel-Ziv complexity (LZC), Petrosian fractal dimension, and sample entropy (SE). We applied leave-one-out cross-validation with support vector machine, K-nearest neighbor (KNN), random forest, decision tree, Ada boost, and extreme gradient boosting, and we tested the performance of these models. The responders had significantly higher alpha band power and lower delta band power than the nonresponders. The Hjorth mobility, LZC, and SE values in the temporal, parietal, and occipital lobes were higher in the responders than in the nonresponders. Hjorth complexity was higher in the nonresponders than in the responders in almost all the brain regions, except for the leads FP1 and FP2. Using KNN classification with theta band power in the temporal lobe yielded optimal performance, with sensitivity of 92.31 %, specificity of 76.92 %, accuracy of 84.62 %, and area under the curve of 88.46 %.We used various EEG features along with machine learning to accurately predict whether patients with CAE would respond to valproic acid. Our method could provide valuable assistance for pediatric neurologists in selecting suitable ASM.

The Challenges of Distinguishing Cognitive Disengagement Syndrome from Childhood Absence Epilepsy in Clinical Settings.

We evaluated clinical parameters distinguishing cognitive disengagement syndrome (CDS) and childhood absence epilepsy (CAE). 40 children with CDS, 27 with CAE, and 41 controls aged 7-12 were compared regarding sleep problems, CDS, and ADHD symptoms. CDS-sluggishness symptoms, but not CDS-daydreaming symptoms, were significantly higher in CDS group than CAE group. CDS scale provided a weak discrimination value between CDS and CAE. Sleep problems and ADHD symptoms were similar between the two clinical entities. These findings highlight that CDS and CAE might have overlapping symptoms. 'Daydreaming' symptoms but not 'sluggishness' symptoms seem to be main overlapping manifestations between CDS and CAE.

Idiopathic generalized epilepsy with phantom absences, absence status, and generalized tonic-clonic seizures: A case report.

RATIONALE: Phantom absences refer to mild and short-lasting absence seizures, which are usually accompanied by infrequent generalized tonic-clonic seizures and absence status. Generally, phantom absences do not impair the individual neurological functions. Herein, we report the case of a young woman with idiopathic generalized epilepsy, phantom absences, absence status, and generalized tonic-clonic seizures. PATIENT CONCERNS: A 31-year-old woman presented with a 16-year history of paroxysmal convulsions. DIAGNOSES: Electroencephalogram (EEG) showed recurrent universal and synchronized 3~4 Hz spike waves and spike-slow waves in the interictal phase with normal background activity. During the ictal phases, EEG revealed bursts of 3~4 Hz spike waves and spike-slow waves that were universal, synchronized, and symmetrical. Additionally, there was 1 seizure episode induced by a 3-Hz flash in the current case. Based on these findings, a diagnosis of idiopathic generalized epilepsy was made. INTERVENTIONS: The patient was treated with oral sodium valproate, and the epileptic seizures were controlled. OUTCOMES: The frequency of absence seizures was significantly reduced and there were no generalized tonic-clonic seizures. LESSONS: Idiopathic generalized epilepsy with phantom absences, absence status, and generalized tonic-clonic seizures is an extremely rare condition. EEG is the exclusive method for diagnosis. Antiepileptic drugs are effective for controlling epileptic seizures in this disease.

Differences in generation and maintenance between ictal and interictal generalized spike-and-wave discharges in childhood absence epilepsy: A magnetoencephalography study.

PURPOSE: Childhood absence epilepsy (CAE) is characterized by impaired consciousness and distinct electroencephalogram (EEG) patterns. However, interictal epileptiform discharges (IEDs) do not lead to noticeable symptoms. This study examines the disparity between ictal and interictal generalized spike-and-wave discharges (GSWDs) to determine the mechanisms behind CAE and consciousness. METHODS: We enrolled 24 patients with ictal and interictal GSWDs in the study. The magnetoencephalography (MEG) data were recorded before and during GSWDs at a sampling rate of 6000 Hz and analyzed across six frequency bands. The absolute and relative spectral power were estimated with the Minimum Norm Estimate (MNE) combined with the Welch technique. All the statistical analyses were performed using paired-sample tests. RESULTS: During GSWDs, the right lateral occipital cortex indicated a significant difference in the theta band (5-7 Hz) with stronger power (P = 0.027). The interictal group possessed stronger spectral power in the delta band (P < 0.01) and weaker power in the alpha band (P < 0.01) as early as 10 s before GSWDs in absolute and relative spectral power. Additionally, the ictal group revealed enhanced spectral power inside the occipital cortex in the alpha band and stronger spectral power in the right frontal regions within beta (15-29 Hz), gamma 1 (30-59 Hz), and gamma 2 (60-90 Hz) bands. CONCLUSIONS: GSWDs seem to change gradually, with local neural activity changing even 10 s before discharge. During GSWDs, visual afferent stimulus insensitivity could be related to the impaired response state in CAE. The inhibitory signal in the low-frequency band can shorten GSWD duration, thereby achieving seizure control through inhibitory effect strengthening.

Precision medicine: Vinpocetine as a potential treatment for GABRG2-related epilepsy.

INTRODUCTION: Pathogenic variants of the GABRG2 gene, encoding a GABAA receptor subunit, have been associated with various epileptic syndromes and drug-resistant epilepsy. Vinpocetine has been previously reported efficacious in a patient harboring a GABRB3 pathogenic variant, encoding another GABAA receptor subunit. CASE PRESENTATION: We describe a patient with GABRG2-related drug-resistant epilepsy who improved after vinpocetine treatment. An 8-year-old boy with a family history of epilepsy was diagnosed with early onset absence epilepsy at 6 months of age and was treated unsuccessfully with sodium valproate and ethosuximide. At 6 years of age, he developed generalized tonic-clonic seizures and increasing absences despite lamotrigine add-on as well as learning difficulties. Brain MRI was normal and video-EEG telemetry showed multiple myoclonic absences. An epilepsy gene panel analysis showed a GABRG2 pathogenic variant, c.254 T > A p.(Ile85Lys) (NM_198903.2), inherited from the proband's father. Seizures were resistant to several medications. After treatment with vinpocetine add-on, the patient showed a dramatic initial response, further reduction of seizures, and improvement of his cognitive functions. CONCLUSION: This case illustrates that vinpocetine could be considered in drug-resistant epilepsies related to GABRG2 in accordance with the principles of precision medicine.

Reading epilepsy today: A scoping review and meta-analysis of reports of the last three decades.

BACKGROUND AND AIM: Reading-induced seizures are presumed to be rare phenomena attributed to an epilepsy syndrome not clearly belonging to either focal or generalized epilepsies. The aim of the article was to summarize knowledge and recent developments in the field of reading-induced seizures by reviewing all cases for which data were reported within the last three decades. METHODS: A scoping systematic review of demographic, clinical, electroencephalography (EEG) and imaging data of cases with reading-induced seizures reported in PubMed and Web of Science between 1991-01-01 and 2022-08-21 and a meta-analysis of the findings. RESULTS: The review included 101 case reports of epilepsy with reading-induced seizures (EwRIS) from 42 articles. The phenomenon was more prevalent among males (67, 66.3% vs. 34, 33.7%) with an average age of onset of 18.3 ± 7.9 years. When reported, 30.8% of patients had a family history of epilepsy. Orofacial reflex myocloni (ORM) were the most frequent manifestation (68, 67.3% cases), other presentations, mostly in addition to ORM, included visual, sensory or cognitive symptoms, non-orofacial myoclonic seizures, and absence seizures. Within the sample, 75 (74.3%) patients were identified as having primary reading epilepsy (PRE), 13 (12.9%) idiopathic generalised epilepsy (IGE) and 13 (12.9%) focal epilepsies. Advanced EEG and functional imaging data suggest that the basic mechanism of reading-induced seizures is probably similar despite different symptoms and consists of upregulation of the complex cerebral subsystem involved in reading. Ictogenesis and resulting symptomatology may then depend on predominant sensory or proprioceptive stimuli during reading. CONCLUSION: In most cases, reading-induced seizures were confirmed to belong to a particular epilepsy syndrome of PRE. However, there were substantial subgroups with IGE and focal epilepsies. Most likely, reading-induced seizures occur as an abnormal response to extero- or proprioceptive input into an upregulated cortical network subserving reading. Most recent researchers consider EwRIS a system epilepsy.

Changes in awake and sleep electroencephalography characteristics after 1-year treatment for childhood and juvenile absence epilepsy.

PURPOSE: To compare electroencephalography (EEG) features of newly diagnosed drug-naive childhood absence epilepsy (CAE) and juvenile absence epilepsy (JAE) patients and analyze their response to anti-seizure medications (ASMs). METHOD: EEG characteristics between CAE and JAE patients and responders and non-responders to ASM at baseline and 12 months were compared, and the changes from baseline were analysed. RESULTS: A total of 62 patients (32 CAE and 30 JAE) were included. Discharges in baseline awake and sleep EEGs and interictal and polyspike discharges in baseline sleep EEGs were more frequent in JAE patients. Although the median discharge densities (discharge containing seconds per minute) were similar in baseline awake and sleep EEGs between the groups, the median was higher in the JAE group at 12 months and decreased significantly in both groups at 12 months compared to the baseline values. Responses to initial ASMs were 94% and 77% in the CAE and JAE groups, respectively. In initial sleep EEGs of non-responders with JAE, focal onset generalized spike and slow wave discharges (GSWDs) were more frequent, and the median ictal and interictal discharge densities were higher. CONCLUSION: JAE patients had more frequent disorganized discharges at baseline in both awake and sleep EEGs and interictal and polyspike discharges in sleep EEGs than those of CAE patients. Improvement in EEG was more pronounced in CAE patients than in JAE patients. Focal-onset GSWDs and higher ictal and interictal discharge densities on baseline EEG were associated with a poor response to initial ASMs in JAE patients.

Outcome of Absence Epilepsy With Onset at 8-11 Years of Age: Watershed Ages When Syndromes Overlap.

Introduction: Absence seizures occur in various epilepsy syndromes, including childhood and juvenile absence epilepsy and juvenile myoclonic epilepsy. When children present with absence seizures at ages when syndromes overlap, initial syndrome designation is not always possible, making early prognostication challenging. For these children, the study objective is to determine clinical and initial electroencephalograph (EEG) findings to predict the development of generalized tonic-clonic seizures, which is a factor that affects outcome. Methods: Children with new-onset absence seizures between 8 and 11 years of age with at least 5 years of follow-up data were studied through the review of medical records and initial EEG tracings. Results: Ninety-eight patients were included in the study. The median age of absence seizure onset was 9 years (interquartile range [IQR] = 8.00, 10.00) and follow-up was 15 years (IQR = 13.00, 18.00). Forty-six percent developed generalized tonic-clonic seizures and 20% developed myoclonic seizures. On multiple regression analysis, a history of myoclonic seizures, anxiety, as well as bifrontal slowing and mild background slowing on initial EEG (P < .05) were associated with generalized tonic-clonic seizures. Although not statistically significant, a shorter duration of shortest EEG burst on baseline EEG was also associated with generalized tonic-clonic seizures. Conclusion: On initial EEG, bifrontal and background slowing and myoclonic seizures and anxiety are associated with developing generalized tonic-clonic seizures, which is of prognostic significance when early syndrome designation is difficult.

Neurophysiological signatures reflect differences in visual attention during absence seizures.

OBJECTIVE: Absences affect visual attention and eye movements variably. Here, we explore whether the dissimilarity of these symptoms during absences is reflected in differences in electroencephalographic (EEG) features, functional connectivity, and activation of the frontal eye field. METHODS: Pediatric patients with absences performed a computerized choice reaction time task, with simultaneous recording of EEG and eye-tracking. We quantified visual attention and eye movements with reaction times, response correctness, and EEG features. Finally, we studied brain networks involved in the generation and propagation of seizures. RESULTS: Ten pediatric patients had absences during the measurement. Five patients had preserved eye movements (preserved group) and five patients showed disrupted eye movements (unpreserved group) during seizures. Source reconstruction showed a stronger involvement of the right frontal eye field during absences in the unpreserved group than in the preserved group (dipole fraction 1.02% and 0.34%, respectively, p < 0.05). Graph analysis revealed different connection fractions of specific channels. CONCLUSIONS: The impairment of visual attention varies among patients with absences and is associated with differences in EEG features, network activation, and involvement of the right frontal eye field. SIGNIFICANCE: Assessing the visual attention of patients with absences can be usefully employed in clinical practice for tailored advice to the individual patient.

Model-Informed Precision Dosing Guidance of Ethosuximide Developed from a Randomized Controlled Clinical Trial of Childhood Absence Epilepsy.

Ethosuximide was identified as the optimal option for new-onset childhood absence epilepsy (CAE) in a randomized, two-phase dose escalation comparative effectiveness trial of ethosuximide, lamotrigine, and valproic acid. However, 47% of ethosuximide initial monotherapy participants experienced short-term treatment failure. This study aimed to characterize the initial monotherapy ethosuximide exposure-response relationship and to propose model-informed precision dosing guidance. Dose titration occurred over a 16-20-week period until patients experienced seizure freedom or intolerable side effects. Subjects with initial monotherapy failure were randomized to one of the other two medications and dose escalation was repeated. A population pharmacokinetic model was created using plasma concentration data (n = 1,320), collected at 4-week intervals from 211 unique participants during both the initial and second monotherapy phases. A logistic regression analysis was performed on the initial monotherapy cohort (n = 103) with complete exposure-response data. Eighty-four participants achieved seizure freedom with a wide range of ethosuximide area under the curves (AUC) ranging from 420 to 2,420 µg·h/mL. AUC exposure estimates for achieving a 50% and 75% probability of seizure freedom were 1,027 and 1,489 µg·h/mL, respectively, whereas the corresponding cumulative frequency of intolerable adverse events was 11% and 16%. Monte Carlo Simulation indicated a daily dose of 40 and 55 mg/kg to achieve 50% and 75% probability of seizure freedom in the overall population, respectively. We identified the need for adjusted mg/kg dosing in different body weight cohorts. This ethosuximide proposed model-informed precision dosing guidance to achieve seizure freedom carries promise to optimize initial monotherapy success for patients with CAE.

Clinical presentation and evaluation of epilepsy with eyelid myoclonia: Results of an international expert consensus panel.

OBJECTIVE: The objective of this study was to determine areas of consensus among an international panel of experts for the clinical presentation and diagnosis of epilepsy with eyelid myoclonia (EEM; formerly known as Jeavons syndrome) to improve a timely diagnosis. METHODS: An international steering committee was convened of physicians and patients/caregivers with expertise in EEM. This committee summarized the current literature and identified an international panel of experts (comprising 25 physicians and five patients/caregivers). This international expert panel participated in a modified Delphi process, including three rounds of surveys to determine areas of consensus for the diagnosis of EEM. RESULTS: There was a strong consensus that EEM is a female predominant generalized epilepsy syndrome with onset between 3 and 12 years of age and that eyelid myoclonia must be present to make the diagnosis. There was a strong consensus that eyelid myoclonia may go unrecognized for years prior to an epilepsy diagnosis. There was consensus that generalized tonic-clonic and absence seizures are typically or occasionally seen in patients. There was a consensus that atonic or focal seizures should lead to the consideration of reclassification or alternate diagnoses. There was a strong consensus that electroencephalography is required, whereas magnetic resonance imaging is not required for diagnosis. There was a strong consensus to perform genetic testing (either epilepsy gene panel or whole exome sequencing) when one or a combination of factors was present: family history of epilepsy, intellectual disability, or drug-resistant epilepsy. SIGNIFICANCE: This international expert panel identified multiple areas of consensus regarding the presentation and evaluation of EEM. These areas of consensus may be used to inform clinical practice to shorten the time to the appropriate diagnosis.

How accurately do adult patients report their absence seizures?

We depend upon self-reporting to determine seizure frequency for epilepsy management decisions, but people often misreport their seizures. Here, we determined misreporting rates in adults with absence seizures, undergoing inpatient video-EEG telemetry (VET) or outpatient ambulatory electroencephalography (aEEG). Under-reporting rates were based on VET data, where behavior could be assessed, whilst over-reporting was assessed using both VET and aEEG. Forty-two patients (31 female and 11 males, median age 28.5 years) and 759 reported absence seizures were included in this study. Overall, only 24% of the 759 reported seizures had an associated EEG correlate, indicating a high over-reporting rate, which occurred in 57% of patients. Age, sex, time of epilepsy, VET versus aEEG, epilepsy syndrome, or medication were not significant predictors of over-reporting. In the VET group in which we could assess both over- and under-reporting (22 patients), only 2 patients correctly reported their seizures, and patients were predominantly over-reporters or under-reporters, not both. Only 26% of 423 absence seizures were reported. Use of zonisamide or valproate was associated with under-reporting, possibly through an impact on attention. These findings indicate that self-reported absence seizures are a poor measure to use for treatment decisions due to both over- and under-reporting.

[Idiopathic generalized epilepsies: Analysis of 101 patients]. / Epilepsias generalizadas idiopáticas: análisis de 101 pacientes.

INTRODUCTION: Idiopathic generalized epilepsies (IGI) are an electroclinical syndrome that includes four subsyndromes according to the ILAE 2017 classification. The long-term prognosis of these syndromes is uncertain due to the scarcity and heterogeneity of the studies. The objective of this study is to analyze the long-term prognosis of these syndromes, pharmacological treatment and the seizure recurrence. METHOD: Observational and retrospective study of a serie of patients diagnosed with EGI. Epidemiological variables, pharmacological treatment, freedom of seizures and recurrence after withdrawal of treatment were collected. RESULTS: We included 101 patients, the majority women (56.4%), with a median evolution of epilepsy of 17 years (interquartile range: 7-31). The most frequent syndrome was juvenile myoclonic epilepsy (46.5%), followed by epilepsy with generalized tonic-clonic seizures alone (25.7%), juvenile absence epilepsy (13.9%) and childhood absence epilepsy (13.9%). The 71.29% were on monotherapy and 20.79% on polytherapy, with significant differences between the different syndromes (P=.001). The most widely used drug was valproic acid. 39.6% presented seizure remission at 5 years, but we did not observe significant differences between the different syndromes (P=.982). The recurrence rate was 71.4% after withdrawal of treatment. CONCLUSION: Juvenile myoclonic epilepsy was the most frequent subtype of IGE. We observed significant differences in terms of polytherapy in the different syndromes, although not in the rates of remission of seizures at one year and at five years. The majority of patients with treatment withdrawal relapsed.

Childhood vs. juvenile absence epilepsy: How to make a diagnosis.

PURPOSE: We tried to differentiate childhood absence epilepsy (CAE) from juvenile absence epilepsy (JAE) based on their clinical characteristics. We planned to identify a cutoff point for the age at onset of seizures between CAE and JAE that is able to reliably predict the presence of generalized tonic-clonic seizures (GTCS) (that has important implications for treatment strategy and outcome prediction). METHODS: This was a retrospective database study. All patients with an electro-clinical diagnosis of CAE or JAE were studied at the outpatient epilepsy clinic at Shiraz University of Medical Sciences, Shiraz, Iran, from 2008 until 2022. The receiver operating characteristic (ROC) curve was used for the statistical analysis to predict a cutoff point for the age at onset of seizures between the syndromes. RESULTS: One hundred and ninety-six patients were studied. Generalized tonic-clonic seizure was reported by 134 patients (68.4%). The ROC curve of the age at seizure onset was an acceptable indicator to anticipate GTCS; the best cutoff point was at 9.65 years; 87 patients (44.4%) had CAE and 109 people (55.6%) had JAE. The odds ratio of the presence of GTCS in JAE compared with CAE was 3.6. CONCLUSION: Syndrome diagnosis of CAE vs. JAE has important practical implications. The age at onset of seizures serves as a reliable and meaningful variable to differentiate CAE from JAE.