ILAE classification of the epilepsies: Position paper of the ILAE Commission for Classification and Terminology

From brain connectivity to cognitive function: Dissecting the salience network in pediatric BECTS-ESES

BACKGROUND

Benign childhood epilepsy with centrotemporal spikes (BECTS), a common pediatric epilepsy, may lead to cognitive decline when compounded by Electrical Status Epilepticus during Sleep (ESES). Emerging evidence suggests that disruptions in the Salience Network (SN) contribute significantly to the cognitive deficits observed in BECTS-ESES. Our study rigorously investigates the dynamic functional connectivity (dFC) within the SN and its correlation with cognitive impairments in BECTS-ESES, employing advanced neuroimaging and neuropsychological assessments.

METHODS

In this research, 45 patients diagnosed with BECTS-ESES and 55 age-matched healthy controls (HCs) participated. We utilized resting-state functional magnetic resonance imaging (fMRI) and Independent Component Analysis (ICA) to identify three fundamental SN nodes: the right Anterior Insula (rAI), left Anterior Insula (lAI), and the Anterior Cingulate Cortex (ACC). A two-sample t-test facilitated the comparison of dFC between these pivotal regions and other brain areas.

RESULTS

Significantly, the BECTS-ESES group demonstrated increased dFC, particularly between the ACC and the right Middle Occipital Gyrus, and from the rAI to the right Superior Parietal Gyrus and Cerebellum, and from the lAI to the left Postcentral Gyrus. Such dFC augmentations provide neural insights potentially explaining the neuropsychological deficits in BECTS-ESES children. Employing comprehensive neuropsychological evaluations, we mapped these dFC disruptions to specific cognitive impairments encompassing memory, executive functioning, language, and attention. Through multiple regression analysis and path analysis, a preliminary but compelling association was discovered linking dFC disturbances directly to cognitive impairments. These findings underscore the critical role of SN disruptions in BECTS-ESES cognitive dysfunctions.

LIMITATION

Our cross-sectional design and analytic methods preclude definitive mediation models and causal inferences, leaving the precise nature of dFC's mediating role and its direct impact by BECTS-ESES partially unresolved. Future longitudinal and confirmatory studies are needed to comprehensively delineate these associations.

CONCLUSION

Our study heralds dFC within the SN as a vital biomarker for cognitive impairment in pediatric epilepsy, advocating for targeted cognitive-specific interventions in managing BECTS-ESES. The preliminary nature of our findings invites further studies to substantiate these associations, offering profound implications for the prognosis and therapeutic strategies in BECTS-ESES, thereby underlining the importance of this research in the field of pediatric neurology and epilepsy management.

Adrenocorticotropic hormone therapy alters Q-albumin ratios in patients with infantile epileptic spasms syndrome of unknown etiology

PURPOSE

Infantile epileptic spasms syndrome (IESS) with epileptic spasms as the main seizure type, is treated with adrenocorticotropic hormone (ACTH). This study, for the first time, examines the effects of epileptic spasms and ACTH on blood-brain barrier (BBB) permeability in patients with IESS of unknown etiology.

METHODS

We prospectively evaluated the changes in BBB permeability in patients with IESS of unknown etiology at the Saitama Children's Medical Center between February 2012 and February 2024. We compared the levels of serum-albumin, cerebrospinal fluid (CSF)-albumin, Q-albumin, and CSF-neuron-specific enolase (NSE) before and after ACTH therapy. We also assessed the correlation between the frequency of epileptic spasms and these markers.

RESULTS

Overall, 16 patients with IESS (8 males) were included in the study. The median age at IESS onset was 5 (range, 2-9) months. The median duration between the epileptic spasms onset and the serum and CSF sample examination before ACTH therapy was 26 (range, 1-154) days. After ACTH therapy, CSF-albumin and Q-albumin levels significantly decreased (CSF-albumin: 13.5 (9.0-32.0) mg/dL vs 11.0 (7.0-19.0) mg/dL, p = 0.001. Q-albumin: 3.7× 10-3 (2.2 × 10-3-7.3 × 10-3) vs 2.8× 10-3 (1.9 × 10-3-4.5 × 10-3), p = 0.003). No correlation was observed between the epileptic spasms frequency and levels of serum-albumin, CSF-albumin, Q-albumin, and CSF-NSE (Spearman's coefficient: r = 0.291, r = 0.141, r = 0.094, and r = -0.471, respectively).

CONCLUSION

ACTH therapy is one of the factors that play a role in restoring BBB permeability in patients with IESS of unknown etiology. Our findings may be useful in elucidating the mechanism of ACTH action and IESS pathophysiology.

Evaluating the Efficacy of CortexID Quantitative Analysis in Localization of the Epileptogenic Zone in Patients with Temporal Lobe Epilepsy

INTRODUCTION

There remains a critical need for precise localization of the epileptogenic foci in individuals with drug-resistant epilepsy (DRE). 18F-Fluorodeoxyglucose positron emission tomography (FDG-PET) imaging can reveal hypometabolic regions during the interval between seizures in patients with epilepsy. However, visual-based qualitative analysis is time-consuming and strongly influenced by physician experience. CortexID Suite is a quantitative analysis software that helps to evaluate PET imaging of the human brain. Therefore, we aimed to evaluate the efficacy of CortexID quantitative analysis in the localization of the epileptogenic zone in patients with temporal lobe epilepsy (TLE).

METHODS

A total of 102 patients with epilepsy who underwent 18F-FDG-PET examinations were included in this retrospective study. The PET visual analysis was interpreted by two nuclear medicine physicians, and the quantitative analysis was performed automatically using CortexID analysis software. The assumed epileptogenic zone was evaluated comprehensively by two skilled neurologists in the preoperative assessment of epilepsy. The accuracy of epileptogenic zone localization in PET visual analysis was compared with that in CortexID quantitative analysis.

RESULTS

The diagnostic threshold for the difference in the metabolic Z-score between the right and left sides of medial temporal lobe epilepsy (MTLE) was calculated as 0.87, and that for lateral temporal lobe epilepsy (LTLE) was 2.175. In patients with MTLE, the area under the curve (AUC) was 0.922 for PET visual analysis, 0.853 for CortexID quantitative analysis, and 0.971 for the combined diagnosis. In patients with LTLE, the AUC was 0.842 for PET visual analysis, 0.831 for CortexID quantitative analysis, and 0.897 for the combined diagnosis. These results indicate that the diagnostic efficacy of CortexID quantitative analysis is not inferior to PET visual analysis (p > 0.05), while combined analysis significantly increases diagnostic efficacy (p < 0.05). Among the 23 patients who underwent surgery, the sensitivity and specificity of PET visual analysis for localization were 95.4% and 66.7%, and the sensitivity and specificity of CortexID quantitative analysis were 100% and 50%.

CONCLUSION

The diagnostic efficacy of CortexID quantitative analysis is comparable to PET visual analysis in the localization of the epileptogenic zone in patients with TLE. CortexID quantitative analysis combined with visual analysis can further improve the accuracy of epileptogenic zone localization.

Psychiatric comorbid disorders and impulsivity in patients with drug-resistant temporal and extra-temporal focal epilepsies

PURPOSE

To analyze patients with drug-resistant focal epilepsy from temporal (TLE) and extra-temporal origin (ETE) and to compare the prevalence of psychiatric comorbid disorders and impulsivity between them and a control group.

METHODS

Consecutively studied patients with TLE and ETE confirmed with Video-EEG were included. Standardized psychiatric assessment was conducted using the Structured Clinical Interview for Axis I and II diagnosis of DSM-IV (SCID I-II), the Barrat-11 scale for impulsivity, and Beck inventory for depression. Parametric and nonparametric tests were performed.

RESULTS

Seventy-three patients with temporal lobe epilepsy (TLE), 21 extra-temporal epilepsy (ETE) and 58 healthy control subjects were included. Both groups of patients showed a high frequency of Axis I comorbid psychiatric disorders: Depression was the most frequent disorder followed by Anxiety Disorders. Furthermore, Axis II (Personality disorders) were also diagnosed, similarly in both groups of patients (p > 0.05). In addition, both TLE and ETE groups presented higher impulsivity scores compared with the control group (p < 0.01). ETE showed a tendency to a higher impulsivity in the motor factor (p = 0.05). Among patients with TLE, a left laterality of the epileptogenic zone, and the presence of comorbid psychiatric disorders (depression), were found as independent factors associated with higher impulsivity (p < 0.05).

CONCLUSION

Comorbid depression associated with higher impulsivity are important issues to consider in behavioral and clinical evaluation of patients with drug-resistant focal epilepsies, with the aim to set up a prompt treatment.

Alterations in spatiotemporal characteristics of dynamic networks in juvenile myoclonic epilepsy

BACKGROUND

Juvenile myoclonic epilepsy (JME) is characterized by altered patterns of brain functional connectivity (FC). However, the nature and extent of alterations in the spatiotemporal characteristics of dynamic FC in JME patients remain elusive. Dynamic networks effectively encapsulate temporal variations in brain imaging data, offering insights into brain network abnormalities and contributing to our understanding of the seizure mechanisms and origins.

METHODS

Resting-state functional magnetic resonance imaging (rs-fMRI) data were procured from 37 JME patients and 37 healthy counterparts. Forty-seven network nodes were identified by group-independent component analysis (ICA) to construct the dynamic network. Ultimately, patients' and controls' spatiotemporal characteristics, encompassing temporal clustering and variability, were contrasted at the whole-brain, large-scale network, and regional levels.

RESULTS

Our findings reveal a marked reduction in temporal clustering and an elevation in temporal variability in JME patients at the whole-brain echelon. Perturbations were notably pronounced in the default mode network (DMN) and visual network (VN) at the large-scale level. Nodes exhibiting anomalous were predominantly situated within the DMN and VN. Additionally, there was a significant correlation between the severity of JME symptoms and the temporal clustering of the VN.

CONCLUSIONS

Our findings suggest that excessive temporal changes in brain FC may affect the temporal structure of dynamic brain networks, leading to disturbances in brain function in patients with JME. The DMN and VN play an important role in the dynamics of brain networks in patients, and their abnormal spatiotemporal properties may underlie abnormal brain function in patients with JME in the early stages of the disease.

Exploring seizure characteristics in individuals with autoimmune encephalitis: A comprehensive retrospective study in a low-middle-income country setting

INTRODUCTION

Seizures and epilepsy are well-documented in association with autoimmune encephalitis. Despite this, a notable gap exists in understanding the persistence of seizures beyond the acute phase, particularly within the context of low- and low-middle-income settings.

OBJECTIVE

To evaluate the frequency, clinical characteristics, diagnosis, and potential factors associated with the occurrence and persistence of seizures in autoimmune encephalitis patients.

METHODS

This was a retrospective, cross-sectional study. Patients diagnosed with possible, probable or confirmed autoimmune encephalitis according to the Graus criteria at the "Instituto Nacional de Ciencias Neurológicas" in Lima, Peru, were included between January 2018 and April 2023. Demographic, clinical, diagnosis, and management information was recorded. A bivariate analysis was performed considering the persistence of seizures at one-year follow-up and a second analysis was performed to compare the groups according to the anti N-methyl-D-aspartate receptor (NMDAR) antibody results.

RESULTS

Sixty patients predominantly male (40; 66.7 %) were included. Only 36 (60 %) patients were tested for antibodies, 16 (44.4 %) were NMDAR positive. 46 (76.7 %) patients had at least one seizure and 13 (37.1 %) had seizures after 1 year of follow-up. Patients with seizure relapse were younger, 20 (IQR: 18-28) versus 29.5 years (IQR: 21-48), p=0.049. Four (44.4 %) patients with persistent seizures had positive NMDAR results. Similar sex distributions, no differences in seizure characteristics, and higher CSF cell count in the NMDAR-positive group were observed. Neuroimaging, EEG findings, and follow-up times were comparable between the groups.

CONCLUSIONS

We found a 37.1 % seizures rate after one year of follow-up, predominantly in younger patients.

An integrated in vitro human iPSCs-derived neuron and in vivo animal approach for preclinical screening of anti-seizure compounds

INTRODUCTION

One-third of people with epilepsy continue to experience seizures despite treatment with existing anti-seizure medications (ASMs). The failure of modern ASMs to substantially improve epilepsy prognosis has been partly attributed to overreliance on acute rodent models in preclinical drug development as they do not adequately recapitulate the mechanisms of human epilepsy, are labor-intensive and unsuitable for high-throughput screening (HTS). There is an urgent need to find human-relevant HTS models in preclinical drug development to identify novel anti-seizure compounds.

OBJECTIVES

This paper developed high-throughput preclinical screening models to identify new ASMs.

METHODS

14 natural compounds (α-asarone, curcumin, vinpocetine, magnolol, ligustrazine, osthole, tanshinone IIA, piperine, gastrodin, quercetin, berberine, chrysin, schizandrin A and resveratrol) were assessed for their ability to suppress epileptiform activity as measured by multi-electrode arrays (MEA) in neural cultures derived from human induced pluripotent stem cells (iPSCs). In parallel, they were tested for anti-seizure effects in zebrafish and mouse models, which have been widely used in development of modern ASMs. The effects of the compounds in these models were compared. Two approved ASMs were used as positive controls.

RESULTS

Epileptiform activity could be induced in iPSCs-derived neurons following treatment with 4-aminopyridine (4-AP) and inhibited by standard ASMs, carbamazepine, and phenytoin. Eight of the 14 natural compounds significantly inhibited the epileptiform activity in iPSCs-derived neurons. Among them, piperine, magnolol, α-asarone, and osthole showed significant anti-seizure effects both in zebrafish and mice. Comparative analysis showed that compounds ineffective in the iPSCs-derived neural model also showed no anti-seizure effects in the zebrafish or mouse models.

CONCLUSION

Our findings support the use of iPSCs-derived human neurons for first-line high-throughput screening to identify compounds with anti-seizure properties and exclude ineffective compounds. Effective compounds may then be selected for animal evaluation before clinical testing. This integrated approach may improve the efficiency of developing novel ASMs.

Epilepsy surgery in developmental and epileptic encephalopathies

Developmental and epileptic encephalopathies (DEEs) present significant treatment challenges due to frequent, drug-resistant seizures and comorbidities that impact quality of life. DEEs include both developmental encephalopathy from underlying pathology and epileptic encephalopathy where seizures exacerbate cognitive and behavioral impairments. Classification by syndrome and etiology is essential for therapy and prognosis, with common syndromes like infantile epileptic spasms syndrome and Dravet syndrome having specific first-line treatments. Etiologies are predominantly genetic, structural, or combined, with targeted therapies increasingly available. Surgery aims to improve seizure control but also may improve development, if the epileptic encephalopathy can be ameliorated. Timely intervention can reduce seizures and epileptiform discharges, maximizing developmental potential and allowing reduction in antiseizure medication. In cases requiring extensive resections, new deficits may be offset by developmental gains. Studies indicate that parents are generally willing to accept some deficits for significant seizure reduction.

Left hemispheric epilepsy is more frequent and has worse clinical course that right hemispheric epilepsy

INTRODUCTION

Few studies demonstrated that focal epilepsy (FE) with left hemispheric (LH) seizure onset is more frequent than with right hemispheric (RH) seizure onset. In addition, patients with LH seizure onset show worse clinical course compared to those with RH seizure onset. The aim of our study was to investigate both issues in a great cohort of FE patients.

METHODS

In the retrospective study, we reviewed the clinical and paraclinical data of 682 patients with exclusively LH or RH seizure onset. We ascertained the laterality of seizure onset mainly by ictal and postictal semiology and ictal EEG findings. In the absence of ictal data, the basis of lateralization was the evidence of unilateral structural brain abnormality together with a corresponding interictal EEG finding. The endpoint of analysis of the clinical course was the presence/absence of five-year remission on drug treatment in the first ten years of treatment.

RESULTS

Out of the 682 patients, 378 (55.4 per cent) had LH and 304 (44.6 per cent) had RH seizure onset. The difference was statistically significant (p = 0.04). Out of them, 213 LH and 156 RH patients were eligible to evaluate prognosis. Five-years-remission was attained by 71 patients (33.3 per cent) in the LH, and 65 (41.7 per cent) in the RH group. The difference was statistically significant (p = 0.05).

CONCLUSION

We demonstrated the LH dominance of seizure onset and the worse clinical course of the patients with LH seizure onset. The findings are manifestations of the lateralized epileptic propensity of the brain. The dissimilar clinical course of the patient with LH and RH seizure onset may shape the general prognostic scheme in FE patients.

Association of serum uric acid levels with risk of epilepsy: A national population-based study

BACKGROUND

Uric acid (UA) serves as a crucial endogenous antioxidant in the body, offering protection against oxidative stress, whichmaycontributetoepilepsypathogenesis. The association between serum UA levels and epilepsy remains uncertain. This study aimed to examine the potential connections between serum UA levels and epilepsy in US adults.

METHODS

Utilizing data from the National Health and Nutrition Examination Survey (NHANES) 2013-2018, a cross-sectional analysis was conducted. Weighted logistic regression analyses were employed to assess the potential link between serum UA levels and the risk of epilepsy. Additionally, sensitivity analyses were conducted to evaluate the reliability of the results.

RESULTS

We included 15,373 participants, of whom 136 (0.79 %) had epilepsy. Following adjustment for multiple variables, participants with serum UA levels <4.1 mg/dl had an odds ratio of 2.24 (95 % CI: 1.12-4.47, P = 0.023) for epilepsy compared to those with serum UA levels of 5.8-6.5 mg/dl. The results of the sensitivity analyses corroborated the initial findings.

CONCLUSIONS

Our study revealed a significant association between lower serum UA levels and heightened risks of epilepsy, suggesting that low UA levels may serve as an independent risk factor for epilepsy. A marginal increase in UA levels within the normal range may act as a protective factor against epilepsy.

Overview of clinical and physiologic aspects of status epilepticus in the developmental and epileptic encephalopathies

The Developmental and Epileptic Encephalopathies are a group of severe epilepsies which onset in early life and are characterized by recurrent, drug-resistant seizures and multiple comorbidities including intellectual disability, behavior and sleep problems, gait concerns, amongst others. Both convulsive and nonconvulsive status epilepticus are frequently seen, however the exact risk and type of status epilepticus depends on the underlying syndrome or etiology. The baseline degree of developmental impairment and EEG features characterized by background slowing and persistent, and at times, near-continuous high-amplitude epileptiform discharges can make a clearcut diagnosis of nonconvulsive status epilepticus, in a timely manner, very challenging. Furthermore, there is limited guidance on best management of nonconvulsive status epilepticus, and success of therapy is often suboptimal.

Two thirds of patients may not need routine 12-month specialist review in an epilepsy clinic: A cross-sectional study of clinic appointments

OBJECTIVES

Timely access to specialist outpatient clinics can be difficult to achieve as outpatient services are often oversubscribed leading to unacceptable wait times. New patients, or those with emergent issues may wait for appointments whilst existing patients are booked in for routine reviews "just in case" there is a problem, using considerable clinic resources. We investigated routine 12-month review appointments to assess whether these appointments changed patient management.

METHODS

The medical records of 100 randomly selected adult patients attending annual review appointments over 12 months at a publicly-funded specialist outpatient epilepsy clinic in Melbourne, Australia were audited. Demographic and clinical data as well as information about the content of each appointment were analysed to determine whether the appointment resulted in changes to epilepsy management (eg medication change), administrative actions (eg drivers license approval) or the provision of information or education. Logistic regression was performed to assess what clinical factors were associated with changes in patient care arising from the 12-month review appointment.

RESULTS

Almost half (47%) of appointments resulted in no change to patient care and 37% had only administrative outcomes, such as the completion of a regulatory driving report. Only 16% of appointments resulted in a change in medical management. The only factor that independently predicted a change in medical management was the occurrence of a seizure in the previous year. The only factor independently associated with not having any change in medical management or administrative action was having an unknown seizure type.

CONCLUSIONS/ SIGNIFICANCE

Only a small number of patients experience a change in medical management when attending a 12-month epilepsy clinic appointment, with a need for management change associated with the presence of ongoing seizure. Outpatient services should limit the use of routine annual follow up to those patients most likely to need intervention or support, creating "just in time" capacity for timely access to review as issues arise.

Deep brain stimulation of the subthalamic nucleus for a patient with drug resistant juvenile myoclonic epilepsy: 1 year follow-up

BACKGROUND

Drug-resistant juvenile myoclonic epilepsy (DR-JME) remains a significant challenge in neurology. Traditional management strategies often fail to achieve satisfactory control, necessitating innovative treatments.

OBJECTIVE

This case report aims to evaluate the efficacy and safety of deep brain stimulation (DBS) targeting the subthalamic nucleus (STN-DBS) in a patient with DR-JME.

METHODS

We describe the treatment of a patient with DR-JME using STN-DBS. The patient underwent implantation and received high-frequency stimulation (HFS) at the STN.

RESULTS

One year post-implantation, the patient demonstrated a substantial reduction in motor seizure frequency by 87.5%, with improvements in quality of life and seizure severity by 52.0% and 46.7%, respectively. No adverse events were reported during the follow-up period.

CONCLUSIONS

This case represents the first report of favorable outcomes with STN-DBS in a patient with DR-JME, suggesting that long-term HFS of the STN may be a promising treatment option for patients suffering from this condition.

Therapeutic Potential of Fingolimod on Psychological Symptoms and Cognitive Function in Neuropsychiatric and Neurological Disorders

Neuropsychiatric and neurological disorders pose a significant global health burden, highlighting the need for innovative therapeutic approaches. Fingolimod (FTY720), a common drug to treat multiple sclerosis, has shown promising efficacy against various neuropsychiatric and neurological disorders. Fingolimod exerts its neuroprotective effects by targeting multiple cellular and molecular processes, such as apoptosis, oxidative stress, neuroinflammation, and autophagy. By modulating Sphingosine-1-Phosphate Receptor activity, a key regulator of immune cell trafficking and neuronal function, it also affects synaptic activity and strengthens memory formation. In the hippocampus, fingolimod decreases glutamate levels and increases GABA levels, suggesting a potential role in modulating synaptic transmission and neuronal excitability. Taken together, fingolimod has emerged as a promising neuroprotective agent for neuropsychiatric and neurological disorders. Its broad spectrum of cellular and molecular effects, including the modulation of apoptosis, oxidative stress, neuroinflammation, autophagy, and synaptic plasticity, provides a comprehensive therapeutic approach for these debilitating conditions. Further research is warranted to fully elucidate the mechanisms of action of fingolimod and optimize its use in the treatment of neuropsychiatric and neurological disorders.

Relationship between migraine and epilepsy in a large population-based cohort: The HUNT Study

BACKGROUND AND PURPOSE

Several studies have reported substantial comorbidity between epilepsy and migraine. Most of these were based on clinical cohorts or used unvalidated diagnostic instruments. Our study re-examined this association in a large general population cohort using validated diagnoses for both disorders.

METHODS

A total of 65,407 participants (≥20 years old) from HUNT (the Trøndelag Health Study) were classified for migraine and nonmigraine headache using a validated questionnaire. Medical record review was used to validate and classify epilepsy in 364 participants (cases), who were compared with 63,298 participants without epilepsy (controls). The association between epilepsy and migraine was analysed using logistic regression adjusted for sex and age.

RESULTS

Patients with epilepsy had no increased prevalence of migraine (odds ratio [OR] = 0.95, 95% confidence interval [CI] = 0.68-1.33) or nonmigraine headache (OR = 1.18, 95% CI = 0.93-1.50) compared to controls. When stratified by headache frequency, epilepsy was associated with a higher prevalence of migraine with highly frequent headache (≥7 days/month; OR = 1.73, 95% CI = 1.08-2.78).

CONCLUSIONS

Migraine was equally common in people with and without epilepsy. Patients with epilepsy who suffered from migraine were more prone to having highly frequent migraine.

The Effect of Levetiracetam and Valproic Acid Treatment on Anger and Attention Deficit Hyperactivity Disorder Clinical Features in Children and Adolescents with Epilepsy: A Prospective Study

BACKGROUND AND OBJECTIVE

Antiseizure medications (ASMs) can potentially trigger psychobehavioral adverse events associated with the onset or exacerbation of psychiatric symptoms such as irritability, aggression, and hyperactivity. The objective of this study was to evaluate the effects of levetiracetam and valproic acid on changes in clinical features of anger, attention deficit hyperactivity disorder (ADHD), and oppositional defiant disorder (ODD). The purpose was to furnish guidance on rational drug selection in children and adolescents with epilepsy to minimize psychiatric comorbidity in the treatment of epilepsy.

METHOD

This was a prospective, observational, cohort study involving treatment-naïve children aged 7-18 years with newly diagnosed generalized or focal epilepsy who were prescribed levetiracetam or valproic acid as monotherapy for a 6-month period and regularly followed up. Psychiatric assessment was conducted at the time of the new epilepsy diagnosis and at the six-month follow-up. These assessments were performed using the Schedule for Affective Disorders and Schizophrenia for School-Age Children Current and Lifetime Version (DSM-5), a structured psychiatric interview, as well as the State-Trait Anger Expression Style Inventory and Turgay DSM-IV Based Disruptive Behaviour Disorders Screening and Rating Scale. Anger subscores, ADHD symptoms, change in diagnosis, focal and generalized epilepsy groups, continuous seizures and seizure-free periods before and 6 months after treatment with valproic acid and levetiracetam were compared.

RESULTS

A total of 50 children, 25 in the valproic acid group and 25 in the levetiracetam group, with a mean age of 11.92 ± 3.08 years, were included in the study. There was a statistically significant increase in the ADHD subscale score post-treatment among patients receiving levetiracetam (p = 0.045) and valproic acid (p = 0.034) compared with pre-treatment. The change in both anger-in and anger-out expression scores with treatment was significantly higher in patients receiving levetiracetam (p = 0.035) compared with those receiving valproic acid (p = 0.026). Statistically, there was a significant difference in the diagnostic criteria of the levetiracetam group pre- and post-treatment (p = 0.026). The proportion of patients in whom the diagnostic criteria for ADHD+ODD were fulfilled increased from 16% before treatment to 48% after treatment, a statistically significant increase (p = 0.026).

CONCLUSION

This study found an increase in internalized anger features and ADHD symptom severity in children with epilepsy treated with valproic acid and levetiracetam. In those prescribed levetiracetam, there was a statistically significant rise in the proportion meeting the diagnostic criteria for ADHD + ODD. Our research is one of the first to prospectively examine the psychiatric assessment of children diagnosed with epilepsy. The remarkable results demonstrate changes in psychiatric diagnoses associated with the treatment of levetiracetam and valproic acid. Furthermore, a considerable rise in ADHD symptoms was observed in those treated with valproic acid.

Causal role of peripheral immune cells in epilepsy: A large-scale genetic correlation study

BACKGROUND

While an increasing number of researchers have focused on the correlation between the immune system and epilepsy, the precise causal role of immune cells in epilepsy continues to elude scientific understanding. The aim of the study was to examine the causal relationship between peripheral immune phenotypes and epilepsy.

METHODS

Mendelian randomization (MR) analysis and linkage disequilibrium score regression (LDSC) were utilized to determine the causal relationship between 731 immune cell traits and various types of epilepsy in this study.

RESULTS

LDSC revealed that 80 immunophenotypes showed genetic correlation with epilepsy, including 58 immunophenotypes associated with a single type of epilepsy (72.5 %),14 immunophenotypes associated with two types of epilepsy (17.5 %),7 immunophenotypes with 3 types of epilepsy (8.75 %) and 1 immunophenotype with 5 types of epilepsy (1.25 %). Although none of the types of epilepsy had a statistically significant effect on immunophenotypes, it is noteworthy that the MR revealed the protective effects of five immunophenotypes on epilepsy: CD45RA+CD8br AC (OR:0.86, 95 %CI:0.80-0.93), FSC-A on myeloid DC (OR:0.95, 95 %CI:0.91-0.98）, CM CD8br AC (OR:0.69, 95 %CI:0.59--0.82), CD33 on CD66b++ Myeloid cell (OR:0.88, 95 %CI:0.83-0.93) and CD127 on CD28- CD8br (OR:0.97, 95 %CI:0.95-0.98). Additionally, harmful effects were observed for two immunophenotypes on epilepsy:CD4 Treg %CD4 (OR:1.04, 95 %CI:1.02-1.06) and SSC-A on plasmacytoid DC (OR:1.01, 95 %CI:1.00-1.02).

CONCLUSION

Our research has demonstrated the causal connections between immune cells and epilepsy, potentially providing valuable insights for future clinical studies.

Efficacy and safety of buccal midazolam for seizures outside the hospital: Real-world clinical experience

INTRODUCTION

Buccal midazolam (buc MDL) is the first buccal mucosal delivery formulation applied for status epilepticus in Japan. Herein, we aimed to investigate the effectiveness and adverse events of buc MDL as a pre-hospital treatment for epileptic seizures in real-world clinical practice.

METHODS

This study involved a retrospective review based on medical records. We included children who received buc MDL as pre-hospital treatment for epileptic seizures and were subsequently transported to the emergency department between April 2021 and November 2023.

RESULTS

This study included 26 patients (136 episodes). The overall efficacy rate, which was defined as seizure cessation within 10 min after buc MDL administration with no recurrence within 30 min, was 43 %. Moreover, 70 % of the episodes did not require additional medications. None of the episodes required bag-mask ventilation or intubation following seizure cessation with buc MDL alone. The efficacy was decreased when buc MDL was administered longer than 15 min from seizure onset. Furthermore, the efficacy did not decrease as long as it was within 0.2-0.5 mg/kg, even if the dose was smaller than the appropriate dose for the specific age.

CONCLUSIONS

The response rate was significantly higher in episodes where buc MDL was administered within 15 min. Additionally, there was no concern regarding respiratory depression with buc MDL alone.

CYP2C19 genotype and sodium channel blockers in lacosamide-treated children with epilepsy: two major determinants of trough lacosamide concentration or clinical response

Background

The widespread clinical use of lacosamide (LCM) has revealed significant individual differences in clinical response, with various reported influencing factors. However, it remains unclear how genetic factors related to the disposition and clinical response of LCM, as well as drug-drug interactions (DDIs), exert their influence on pediatric patients with epilepsy.

Objectives

To evaluate the impact of genetic variations and DDIs on plasma LCM concentrations and clinical response.

Design

Patients with epilepsy treated with LCM from June 2021 to March 2023 in the Children's Hospital of Nanjing Medical University were included in the analysis.

Methods

The demographic information and laboratory examination data were obtained from the hospital information system. For the pharmacogenetic study, the left-over blood specimens, collected for routine plasma LCM concentration monitoring, were used to perform genotyping analysis for the selected 26 single nucleotide polymorphisms from 14 genes. The trough concentration/daily dose (C 0/D) ratio and efficacy outcomes were compared.

Results

Patients achieved 90.1% and 68.9% responder rates in LCM mono- and add-on therapy, respectively. The genetic variant in the CYP2C19 *2 (rs4244285) was associated with a better responsive treatment outcome (odds ratio: 1.82; 95% confidence interval: 1.05-3.15; p = 0.031). In monotherapy, 36% of patients were CYP2C19 normal metabolizers (NMs), 49% were intermediate metabolizers (IMs), and 15% were poor metabolizers (PMs) carrying CYP2C19 *2 or *3. Of note, the C 0/D ratios of IMs and PMs were 9.1% and 39.6% higher than those of NMs, respectively. Similar results were in the add-on therapy group, and we also observed a substantial decrease in the C 0/D ratio when patients were concomitant with sodium channel blockers (SCBs).

Conclusion

This study was the first to confirm that CYP2C19 *2 or *3 variants impact the disposition and treatment response of LCM in children with epilepsy. Moreover, concomitant with SCBs, particularly oxcarbazepine, also decreased plasma LCM concentration.

SzCORE: Seizure Community Open-Source Research Evaluation framework for the validation of electroencephalography-based automated seizure detection algorithms

The need for high-quality automated seizure detection algorithms based on electroencephalography (EEG) becomes ever more pressing with the increasing use of ambulatory and long-term EEG monitoring. Heterogeneity in validation methods of these algorithms influences the reported results and makes comprehensive evaluation and comparison challenging. This heterogeneity concerns in particular the choice of datasets, evaluation methodologies, and performance metrics. In this paper, we propose a unified framework designed to establish standardization in the validation of EEG-based seizure detection algorithms. Based on existing guidelines and recommendations, the framework introduces a set of recommendations and standards related to datasets, file formats, EEG data input content, seizure annotation input and output, cross-validation strategies, and performance metrics. We also propose the EEG 10-20 seizure detection benchmark, a machine-learning benchmark based on public datasets converted to a standardized format. This benchmark defines the machine-learning task as well as reporting metrics. We illustrate the use of the benchmark by evaluating a set of existing seizure detection algorithms. The SzCORE (Seizure Community Open-Source Research Evaluation) framework and benchmark are made publicly available along with an open-source software library to facilitate research use, while enabling rigorous evaluation of the clinical significance of the algorithms, fostering a collective effort to more optimally detect seizures to improve the lives of people with epilepsy.

Unveiling the disease progression in developmental and epileptic encephalopathies: Insights from EEG and neuropsychology

OBJECTIVE

Developmental and epileptic encephalopathies (DEEs) are neurological disorders characterized by developmental impairment and epilepsy. Our study aims to assess disease progression by comparing clinical findings, electroencephalography (EEG), and neuropsychological data from seizure onset to the last follow-up evaluation.

METHODS

We retrospectively reviewed patients with genetic DEEs who were followed-up at the epilepsy unit of Bambino Gesù Children's Hospital, Rome. We collected information regarding gender, family history, genetic variant, age at onset and at last follow-up, neurological examination, type of seizure, drug resistance, occurrence of status epilepticus, and movement and cognitive and behavioral disorders. We compared EEG background activity, epileptiform abnormalities, and cognitive functions between seizure onset and the last follow-up evaluation using the McNemar-Bowker test (α = 5%).

RESULTS

A total of 160 patients (94 female) were included. Genetic analysis revealed a spectrum of pathogenic variants, with SCN1A being the most prevalent (25%). The median age at seizure onset and at the last follow-up was 0.37 (interquartile range [IQR]: 0.09-0.75) and 8.54 years (IQR: 4.32-14.55), respectively. We documented a statistically significant difference in EEG background activity (p = .017) and cognitive impairment (p = .01) from seizure onset to the last follow-up evaluation. No significant differences were detected for epileptiform abnormalities (p = .2). In addition, high prevalence rates were observed for drug resistance (81.9%), movement disorders (60.6%), behavioral and autism spectrum disorders (45%), neurological deficits (31.3%), and occurrence of status epilepticus (23.1%).

SIGNIFICANCE

Our study provides evidence that a clinical progression may appear in genetic DEEs, manifesting as development or worsening of cognitive impairment and disruption of EEG background activity. These results highlight the challenging clinical course and the importance of early intervention and personalized care in the management of patients with DEEs.

Effects of antiseizure medication withdrawal during the first trimester of pregnancy on seizure control and offspring outcomes

OBJECTIVE

To explore seizure control and offspring outcomes associated with antiseizure medication (ASM) withdrawal during the first trimester of pregnancy.

METHODS

Based on a prospective multicenter study in China, pregnancies followed up between 2009 and 2023 at the neurology outpatient clinic of 50 hospitals were included in this study. Information on demographics, epileptic characteristics, treatment during pregnancy, and offspring outcomes was collected. Pregnancies were categorized into an ASM withdrawal group and an ASM continuation group. Balance tests and univariate log-binomial regression analysis were conducted to identify imbalanced factors between groups and potential risk factors for seizure deterioration during pregnancy. Multivariate log-binomial regression was then used to estimate the adjusted effects of ASM withdrawal on seizure deterioration during pregnancy and fetal outcomes. In addition, exploratory subgroup analysis was conducted to identify high-risk patients who should avoid ASM withdrawal.

RESULTS

Of the 695 pregnancies enrolled, 14.2% withdrew ASMs in the first trimester of pregnancy. ASM withdrawal during this period was associated with a risk of seizure deterioration during pregnancy (adjusted risk ratio [aRR] 1.405, 95% confidence interval [CI] 1.009-1.876). Subgroup analysis revealed a significant risk of seizure deterioration in pregnancies with seizures in 9 months (aRR 1.590, 95% CI 1.079-2.344). After adjusting the folic acid dose, no evidence of protective effects on fetus after ASM withdrawal was observed compared to patients with continued treatment, whereas seizure deterioration during pregnancy increased the risk of fetal death (aRR 3.577, 95% CI 1.086-11.651).

SIGNIFICANCE

ASM withdrawal in the first trimester of pregnancy did not show a protective effect on fetal outcomes but rather resulted in increased seizure frequency during pregnancy. However, this finding requires a larger sample for validation. Furthermore, seizure deterioration during pregnancy was associated with an increased risk of fetal death.

Genotype-driven therapeutics in DEE and metabolic epilepsy: navigating treatment efficacy and drug resistance

Neonatal intensive care unit (NICU), particularly in treating developmental and epileptic encephalopathy (DEE) and metabolic epilepsy (ME), requires a deep understanding of their complex etiologies and treatment responses. After excluding treatable cases such as infectious or autoimmune encephalitis, our focus shifted to a more challenging subgroup of 59 patients for in-depth genetic analysis using exome sequencing (ES). The ES analysis identified 40 genetic abnormalities, significantly including de novo variants. Notably, we found structural variation as duplications in regions 2q24.3, including SCN1A and SCN2A were observed in 7 cases. These genetic variants, impacting ion channels, glucose transport, transcription regulation, and kinases, play a crucial role in determining medication efficacy. More than one-third (34.2%) of patients with DEE had an unfavorable response to anti-seizure medications (ASMs) in the chronic phase. However, since the ketogenic supplementary diet showed a positive effect, more than three-quarters (80%) of these drug-resistant patients improved during a 3-month follow-up. In contrast, the ME had a lower adverse reaction rate of 9.1% (2/22) to specialized medications, yet there were 5 fatalities and 10 cases with unidentified genetic etiologies. This study suggests the potential of categorizing drug-resistant variants and that a ketogenic diet could be beneficial in managing DEE and ME. It also opens new perspectives on the mechanisms of the ketogenic diet on the discovered genetic variants.

N-methyl-D-aspartate receptor autoantibody levels in children with intractable and non-intractable epilepsy

Objective

Intractable epilepsy in children is a prevalent neurological disorder that can pose serious risks. The involvement of the autoimmune system is a significant factor in the pathogenesis of the disease. The N-methyl-D-aspartate-receptor (NMDAR) is a glutamate receptor and ion channel present in neurons and is associated with the mechanism of autoimmune etiology in epilepsy. This study aims to compare the levels of NMDAR auto antibodies in children with intractable and non-intractable epilepsy.

Methods

A prospective analytic study was conducted from June to September 2022. The study sample consisted of patients aged 1 month to 18 years diagnosed with epilepsy and receiving anti-seizure medication (ASM) therapy at Dr. Soetomo General Academic Hospital, Surabaya. The patients were divided into two groups, namely intractable epilepsy and non-intractable epilepsy. The NMDAR autoantibody levels were determined using enzyme-linked immunosorbent assay (ELISA). Statistical analysis employed the chi-squared and Wilcoxon-Mann-Whitney tests.

Results

Seventy-five subjects were included in the study. Of these patients, 41.3 % with intractable epilepsy and 33.4 % with non-intractable epilepsy presented NMDAR auto antibodies. Analysis of the patient characteristics revealed a correlation between seizure frequency and NMDAR autoantibody positivity (P = 0.002) but not between the number of ASM and NMDAR autoantibody positivity (P > 0.05). The NMDAR autoantibody levels were not significantly different in children with intractable and non-intractable epilepsy (P = 0.157).

Conclusion

The NMDAR autoantibody levels were numerically higher in children with intractable epilepsy compared with children with non-intractable epilepsy.

Annotation of epilepsy clinic letters for natural language processing

BACKGROUND

Natural language processing (NLP) is increasingly being used to extract structured information from unstructured text to assist clinical decision-making and aid healthcare research. The availability of expert-annotated documents for the development and validation of NLP applications is limited. We created synthetic clinical documents to address this, and to validate the Extraction of Epilepsy Clinical Text version 2 (ExECTv2) NLP pipeline.

METHODS

We created 200 synthetic clinic letters based on hospital outpatient consultations with epilepsy specialists. The letters were double annotated by trained clinicians and researchers according to agreed guidelines. We used the annotation tool, Markup, with an epilepsy concept list based on the Unified Medical Language System ontology. All annotations were reviewed, and a gold standard set of annotations was agreed and used to validate the performance of ExECTv2.

RESULTS

The overall inter-annotator agreement (IAA) between the two sets of annotations produced a per item F1 score of 0.73. Validating ExECTv2 using the gold standard gave an overall F1 score of 0.87 per item, and 0.90 per letter.

CONCLUSION

The synthetic letters, annotations, and annotation guidelines have been made freely available. To our knowledge, this is the first publicly available set of annotated epilepsy clinic letters and guidelines that can be used for NLP researchers with minimum epilepsy knowledge. The IAA results show that clinical text annotation tasks are difficult and require a gold standard to be arranged by researcher consensus. The results for ExECTv2, our automated epilepsy NLP pipeline, extracted detailed epilepsy information from unstructured epilepsy letters with more accuracy than human annotators, further confirming the utility of NLP for clinical and research applications.

Centromedian thalamic deep brain stimulation for idiopathic generalized epilepsy: Connectivity and target optimization

There are limited treatment options for individuals with drug-resistant idiopathic generalized epilepsy (IGE). Small, limited case series suggest that centromedian thalamus deep brain stimulation (CM-DBS) may be an effective treatment option. The optimal CM-DBS target for IGE is underexamined. Here, we present a retrospective analysis of CM-DBS targeting and efficacy for five patients with drug-resistant IGE. Volume of tissue activated (VTA) overlap with CM nucleus was performed using an open-source toolbox. Median follow-up time was 13 months. Median convulsive seizure frequency reduction was 66%. One patient had only absence seizures, with >99% reduction in absence seizure frequency. Four patients had electrode contacts positioned within the CM nucleus target, all of whom had >50% reduction in primary semiology seizure, with 85% median seizure reduction (p = .004, paired-sample t test). Volumetric "sweet-spot" mapping revealed that best outcomes were correlated with stimulation of the middle ventral CM nucleus. Connectivity strength between the sweet-spot region and central peri-Rolandic cortex was increased significantly relative to other cortical regions (p = 8.6 × 10-4, Mann-Whitney U test). Our findings indicate that CM-DBS can be an effective treatment for patients with IGE, highlight the importance of accurate targeting and targeting analysis, and within the context of prior work, suggest that ideal CM-DBS targets may be syndrome specific.

Epilepsy Among School-Children in a Rural District in Northwest India: Prevalence Estimates Using Three Different Approaches

OBJECTIVES

To estimate and compare the prevalence of epilepsy during childhood using several approaches and also to determine whether school-based screening campaigns can capture epilepsy cases efficiently.

METHODS

Epilepsy prevalence determined from cases captured through the Rashtriya Bal Swasthya Karyakram (RBSK), a nationwide school-health screening framework, were compared with estimates derived from school- and community-based surveys in one Indian district. Level-1 screen comprised perusal of child health registers maintained by the RBSK teams over one year to estimate the documented number of children with epilepsy; Level-2 screen comprised a questionnaire-based school survey among 10,000 school children; and Level-3 screen-a door-to-door community-based survey among 10,000 children in the district.

RESULTS

Prevalence estimates of childhood epilepsy varied significantly across screening methods. The child health register identified lower crude and age-adjusted prevalences of 40 (95% CI, 24 to 55) and 36 (95% CI, 20 to 51)/1,00,000 vis-à-vis both the school survey [crude and age-adjusted prevalences of 354 (95% CI, 221 to 487) and 340 (95% CI, 181 to 517) per 100,000] and the community survey [crude and age-adjusted prevalences of 759 (95% CI, 591 to 927) and 746 (95% CI, 579 to 914) per 100,000]. The community survey identified 15 children with epilepsy (20%) who had dropped out of school. Also, it recaptured a small number of children previously identified by the school or child health register surveys.

CONCLUSIONS

The present findings underscore the need to scale up the capacity of public programs to screen epilepsy among school children and underline the high frequency of school dropouts among children with epilepsy in resource-limited settings.

Romanian Translation and Cultural Adaptation of the Seizure Severity Questionnaire

The aim of this study was to report the translation into Romanian of the Seizure Severity Questionnaire (SSQ), an instrument for the evaluation of the frequency and severity of epileptic seizures, and the results of applying it to a group of patients with epilepsy evaluated at a hospital in Romania.

METHODS

Four translators were involved in obtaining conceptual analogies and the cultural importance of the translated notions. The final version was obtained for the Romanian population, with the same appearance as the original instrument. Sixty-seven patients with epilepsy completed the SSQ and the Patient-Weighted Quality of Life in Epilepsy Inventory-QOLIE-31-P.

RESULTS

Females had a lower mean SSQ total score (TS) and perceived seizures less seriously than men. Patients with epilepsy with aura had a higher mean SSQ TS, with a more severe seizure perception, compared to those without aura. According to the frequency of seizures, patients with epilepsy with rare seizures had the lowest mean SSQ total score (TS) compared to those with frequent seizures. Patients who were on monotherapy had a less severe perception of epileptic seizures compared to those who were treated with two or more antiepileptic drugs. All QOLIE-31-P domains and TS correlated statistically significantly with the SSQ TS.

CONCLUSIONS

This study explored SSQ translation, evaluated preliminary results, and showed the correlation between seizure frequency and severity, clinical factors, and quality of life. This tool could be useful for measuring seizure severity in Romanian patients with epilepsy and conducting comparative studies.

Pharmacogenetic insights into ABCB1, ABCC2, CYP1A2, and CYP2B6 variants with epilepsy susceptibility among Egyptian Children: A retrospective case-control study

BACKGROUND

Pediatric epilepsy is a complicated neuropsychiatric disorder that is characterized by recurrent seizures and unusual synchronized electrical activities within brain tissues. It has a substantial effect on the quality of life of children, thus understanding of the hereditary considerations influencing epilepsy susceptibility and the response to antiepileptic medications is crucial. This study focuses on assessing the correlation of the ABCB1, ABCC2, CYP1A2, and CYP2B6 genetic polymorphisms with the susceptibility to epileptic seizures and their contributions to antiepileptic medication throughout the course of the disease.

METHODS

This study included 134 Egyptian epileptic children, comprising 67 drug-responsive and 67 drug-resistant patients, along with 124 healthy controls matching for age, gender, and geographical district. Genotyping of the rs2032582, rs717620, rs2273697, rs762551, and rs3745274 variants was performed using the PCR technique. Statistical analyses, including haplotype, multivariate, logistic regression, and bioinformatics approaches, were conducted to evaluate the associations within the disease.

RESULTS

The ABCC2*rs717620 (T allele) revealed an increased risk of epilepsy compared to healthy controls (OR = 2.12, p-value < 0.001), with the rs717620 (C/T + T/T genotypes) showing significant differences between drug-responsive and drug-resistant patients (p-value < 0.05). Moreover, the ABCC2*rs2273697 (A allele) indicated a decreased risk of epileptic seizures compared to healthy controls (OR = 0.51, p-value = 0.033), with the rs2273697 (G/A + A/A genotypes) indicating a significant association with drug-resistant patients (OR = 0.21, p-value = 0.002). The rs717620*T/rs2273697*G haplotype was significantly correlated with an elevated risk of epileptic seizures within drug-responsive patients (OR = 2.26, p-value = 0.019). Additionally, the CYP1A2*rs762551 (A allele) represented a protective effect against epilepsy susceptibility (OR = 0.50, p-value < 0.001), with the rs762551 (G/A + A/A genotypes) disclosing a substantial association with a decreased risk of epileptic seizures among drug-resistant patients compared to drug-responsive patients (OR = 0.07, p-value < 0.001). Conversely, the ABCB1*rs2032582 (G allele) and the CYP2B6*rs3745274 (T allele) did not attain a significant difference with the epilepsy risk compared to healthy controls (p-value > 0.05).

CONCLUSIONS

The findings of our study emphasize the importance of pharmacogenetic screening in epilepsy research, particularly regarding to drug-resistant patients. The ABCC2*rs717620 variant conferred a significant correlation with elevated risk of epileptic seizures, while the ABCC2*rs2273697 and CYP1A2*rs762551 variants confirmed their contributions as protective markers against epilepsy development. Conversely, the ABCB1*rs2032582 and CYP2B6*rs3745274 alleles were not considered as independent risk factors with the course of epilepsy disease.

Association of baseline sleep duration and sleep quality with seizure recurrence in newly treated patients with epilepsy

OBJECTIVE

Although sleep duration and sleep quality are considered to be significant factors associated with epilepsy and seizure risk, findings are inconsistent, and their joint association remains uncertain. This study aimed to determine independent and joint associations of these two modifiable sleep features with seizure recurrence risk in newly treated patients with epilepsy (PWE).

METHODS

This is a prospective cohort study of newly treated PWE at a comprehensive epilepsy center in northeast China between June 2020 and December 2023. Self-reported sleep duration and sleep quality were collected at baseline. All patients were followed for 12 months for recurrent seizures. Cox proportional hazard regression models were used to estimate the hazard ratios (HRs) of seizure recurrence. Models fitted with restricted cubic spline were conducted to test for linear and nonlinear shapes of each association.

RESULTS

A total of 209 patients were included, and 103 experienced seizure recurrence during follow-up. Baseline short sleep was significantly associated with greater risk of seizure recurrence (adjusted HR = 2.282, 95% confidence interval [CI] = 1.436-3.628, p < .001). Sleep duration (h/day) and recurrent seizure risk showed a significant nonlinear U-shaped association, with a nadir at 8 h/day. Baseline poor sleep quality was significantly associated with greater risk of seizure recurrence (adjusted HR = 1.985, 95% CI = 1.321-2.984, p < .001). Pittsburgh Sleep Quality Index score and seizure recurrence risk exhibited a positive linear association. Participants with a combination of poor quality-short sleep showed the highest risk of seizure recurrence (adjusted HR = 3.13, 95% CI = 1.779-5.507, p < .001) compared to the referent good quality-intermediate sleep group.

SIGNIFICANCE

Baseline sleep duration and sleep quality were independently and jointly associated with risk of seizure recurrence in newly treated PWE. Our results point to an important potential role of baseline sleep duration and sleep quality in shaping seizure risk.

Causal associations between gut microbiota, circulating inflammatory proteins, and epilepsy: a multivariable Mendelian randomization study

Background

Previous studies have suggested that gut microbiota (GM) may be involved in the pathogenesis of epilepsy through the microbiota-gut-brain axis (MGBA). However, the causal relationship between GM and different epilepsy subtypes and whether circulating inflammatory proteins act as mediators to participate in epileptogenesis through the MGBA remain unclear. Therefore, it is necessary to identify specific GM associated with epilepsy and its subtypes and explore their underlying inflammatory mechanisms for risk prediction, personalized treatment, and prognostic monitoring of epilepsy.

Methods

We hypothesized the existence of a pathway GM-inflammatory proteins-epilepsy. We found genetic variants strongly associated with GM, circulating inflammatory proteins, epilepsy and its subtypes, including generalized and partial seizures, from large-scale genome-wide association studies (GWAS) summary data and used Multivariate Mendelian Randomization to explore the causal relationship between the three and whether circulating inflammatory proteins play a mediating role in the pathway from GM to epilepsy, with inverse variance weighted (IVW) method as the primary statistical method, supplemented by four methods: MR-Egger, weighted median estimator (WME), Weighted mode and Simple mode.

Results

16 positive and three negative causal associations were found between the genetic liability of GM and epilepsy and its subtypes. There were nine positive and nine negative causal associations between inflammatory proteins and epilepsy and its subtypes. Furthermore, we found that C-X-C motif chemokine 11 (CXCL11) levels mediated the causal association between Genus Family XIII AD3011 group and epilepsy.

Conclusion

Our study highlights the possible causal role of specific GM and specific inflammatory proteins in the development of epilepsy and suggests that circulating inflammatory proteins may mediate epileptogenesis through the MGBA.

High Diagnostic Yield and Clinical Utility of Next-Generation Sequencing in Children with Epilepsy and Neurodevelopmental Delays: A Retrospective Study

Advances in genetics led to the identification of hundreds of epilepsy-related genes, some of which are treatable with etiology-specific interventions. However, the diagnostic yield of next-generation sequencing (NGS) in unexplained epilepsy is highly variable (10-50%). We sought to determine the diagnostic yield and clinical utility of NGS in children with unexplained epilepsy that is accompanied by neurodevelopmental delays and/or is medically intractable. A 5-year retrospective review was conducted at the American University of Beirut Medical Center to identify children who underwent whole exome sequencing (WES) or whole genome sequencing (WGS). Data on patient demographics, neurodevelopment, seizures, and treatments were collected. Forty-nine children underwent NGS with an overall diagnostic rate of 68.9% (27/38 for WES, and 4/7 for WGS). Most children (42) had neurodevelopmental delays with (18) or without (24) refractory epilepsy, and only three had refractory epilepsy without delays. The diagnostic yield was 77.8% in consanguineous families (18), and 61.5% in non-consanguineous families (26); consanguinity information was not available for one family. Genetic test results led to anti-seizure medication optimization or dietary therapies in six children, with subsequent improvements in seizure control and neurodevelopmental trajectories. Not only is the diagnostic rate of NGS high in children with unexplained epilepsy and neurodevelopmental delays, but also genetic testing in this population may often lead to potentially life-altering interventions.

Primary treatment gap among adults with epilepsy: A cross-sectional analysis

OBJECTIVE

Despite recommendations to initiate antiseizure medication treatment once the diagnosis of epilepsy is confirmed, a certain proportion of patients with epilepsy who should receive antiseizure medication treatment remain untreated. We aimed to evaluate the rate of and the reasons for the treatment gap in patients with epilepsy who were referred to their first visit in our epilepsy clinic.

METHODS

We retrospectively reviewed the computerized database and the medical records of all the patients with epilepsy who had their first visit in our outpatient epilepsy clinic during a 10-year period (2012-2021).

RESULTS

Forty-nine (6.5%) of 746 patients with epilepsy were not treated with antiseizure medications: 27 (3.6%) were nonadherent to treatment, 12 (1.6%) patients were not definitively diagnosed with epilepsy prior to their first epilepsy clinic visit, and in 10 (1.3%) patients antiseizure medication treatment was not recommended. Untreated patients had shorter epilepsy duration compared to patients treated with antiseizure medications (p = .003). At last follow-up, 77% of the untreated patients at first visit were receiving antiseizure medications compared to 97% of the initially treated group, and fewer were receiving antiseizure medication polytherapy (p = .0001).

SIGNIFICANCE

Although the rate of treatment gap was relatively low, we believe that it should be further reduced. Efforts may focus on addressing individual causes of nonadherence to antiseizure medication treatment and on promoting knowledge of diagnosis and treatment of epilepsy among healthcare professionals.

Developmental and epileptic encephalopathies

Developmental and epileptic encephalopathies, the most severe group of epilepsies, are characterized by seizures and frequent epileptiform activity associated with developmental slowing or regression. Onset typically occurs in infancy or childhood and includes many well-defined epilepsy syndromes. Patients have wide-ranging comorbidities including intellectual disability, psychiatric features, such as autism spectrum disorder and behavioural problems, movement and musculoskeletal disorders, gastrointestinal and sleep problems, together with an increased mortality rate. Problems change with age and patients require substantial support throughout life, placing a high psychosocial burden on parents, carers and the community. In many patients, the aetiology can be identified, and a genetic cause is found in >50% of patients using next-generation sequencing technologies. More than 900 genes have been identified as monogenic causes of developmental and epileptic encephalopathies and many cell components and processes have been implicated in their pathophysiology, including ion channels and transporters, synaptic proteins, cell signalling and metabolism and epigenetic regulation. Polygenic risk score analyses have shown that common variants also contribute to phenotypic variability. Holistic management, which encompasses antiseizure therapies and care for multimorbidities, is determined both by epilepsy syndrome and aetiology. Identification of the underlying aetiology enables the development of precision medicines to improve the long-term outcome of patients with these devastating diseases.

GABA(A) Receptor Subunit (γ2, δ, β1-3) Variants in Genetic Epilepsy: A Comprehensive Summary of 206 Clinical Cases

Epilepsy is identified in individuals who experienced 2 or more unprovoked seizures occurring over 24 hours apart, which can have a profound impact on a person's neurobiological, cognitive, psychological, and social well-being. Epilepsy is considerably diverse, with classifications such as genetic epilepsy that result directly from a known or presumed genetic variant with the core symptoms of seizures. The GABAA receptor primarily functions as a heteropentamer, containing 3 of 8 subunit types: α, β, γ, δ, ε, π, θ, and ρ. In the adult brain, the GABAA receptor is the primary inhibitory component in neural networks. The involvement of GABAA receptors in the pathogenesis of epilepsy has been proposed. We extensively reviewed all relevant clinical data of previously published cases of GABAA receptor subunit γ2, δ, β1-3 variants included in PubMed up to February 2024, including the variant types, loci, postulated mechanisms, their relevant regions, first onset ages, and phenotypes. We summarized the postulated mechanisms of epileptic pathogenesis. We also divided the collected 206 cases of epilepsy into 4 epileptic phenotypes: genetic generalized epilepsies, focal epilepsy, developmental and epileptic encephalopathies, and epilepsy with fever sensibility. We showed that there were significant differences in the likelihood of the γ2, β2, and β3 subunit variants causing genetic generalized epilepsies, focal epilepsy, developmental and epileptic encephalopathies, and epilepsy with fever sensibility. Patients with the β3 subunit variant seemed related to an earlier first onset age. Our review supports that GABAA receptor subunit variants are a crucial area of epilepsy research and treatment exploration.

Implementation of a Novel Seizure Assessment Tool for Unified Seizure Evaluation Improves Nurse Response

ABSTRACT

BACKGROUND: Ictal and postictal testing is an essential aspect of clinical care when diagnosing and treating seizures. The epilepsy monitoring unit (EMU) has standard operating procedures for nursing care during and after seizure events, but there is limited interrater reliability. Streamlining ictal and postictal testing processes may enhance care consistency for patients in the EMU unit. The purpose of this study was to create an ictal and postictal seizure assessment tool that would increase the consistency of nursing assessment for EMU patients. METHODS: This prospective study had 4 phases: baseline assessment, instrument development, staff education, and field testing. During baseline assessment, an advanced practice provider and an epilepsy fellow graded nurse ictal and postictal assessment via survey questions. After instrument development, education, and implementation, the same survey was administered to determine if nursing consistency in assessing seizure events improved. The tool used in this study was created by a team of clinical experts to ensure consistency in the assessment of seizure patients. RESULTS: A total of 58 first seizure events were collected over a 6-month intervention period; 27 in the pretest and 31 in the posttest. Paired t test analyses revealed significant improvement in the clinical testing domains of verbal language function (P < .005), motor function (P < .0005), and item assessment order (P < .005) postintervention. There was nonsignificant improvement in the domains of responsiveness (feeling [P = .597], using a code word [P = .093]) and visual language function (P = .602). CONCLUSION: The data captured in this study support the need for this instrument. There is strong need to increase consistency in assessing seizure events and to promote continued collaboration among clinical teams to enhance care to EMU patients. Validation of this instrument will further improve team collaboration by allowing nurses to contribute to their fullest extent.

Epilepsy as a Novel Phenotype of BPTF-Related Disorders

BACKGROUND

Neurodevelopmental disorder with dysmorphic facies and distal limb anomalies (NEDDFL) is associated to BPTF gene haploinsufficiency. Epilepsy was not included in the initial descriptions of NEDDFL, but emerging evidence indicates that epileptic seizures occur in some affected individuals. This study aims to investigate the electroclinical epilepsy features in individuals with NEDDFL.

METHODS

We enrolled individuals with BPTF-related seizures or interictal epileptiform discharges (IEDs) on electroencephalography (EEG). Demographic, clinical, genetic, raw EEG, and neuroimaging data as well as response to antiseizure medication were assessed.

RESULTS

We studied 11 individuals with a null variant in BPTF, including five previously unpublished ones. Median age at last observation was 9 years (range: 4 to 43 years). Eight individuals had epilepsy, one had a single unprovoked seizure, and two showed IEDs only. Key features included (1) early childhood epilepsy onset (median 4 years, range: 10 months to 7 years), (2) well-organized EEG background (all cases) and brief bursts of spikes and slow waves (50% of individuals), and (3) developmental delay preceding seizure onset. Spectrum of epilepsy severity varied from drug-resistant epilepsy (27%) to isolated IEDs without seizures (18%). Levetiracetam was widely used and reduced seizure frequency in 67% of the cases.

CONCLUSIONS

Our study provides the first characterization of BPTF-related epilepsy. Early-childhood-onset epilepsy occurs in 19% of subjects, all presenting with a well-organized EEG background associated with generalized interictal epileptiform abnormalities in half of these cases. Drug resistance is rare.

Different psychopathological courses between chronic interictal psychosis and schizophrenia

OBJECTIVE

The clinical course of interictal psychosis (IIP) has not yet been investigated. We aimed to compared the psychopathology and time-relevant indices between chronic IIP (CIIP) and schizophrenia (SC) METHODS: In this comprehensive psychopathological study, patients with chronic psychosis with and without epilepsy (127 with CIIP and 187 with SC) were compared. Psychopathology was measured using the Brief Psychiatric Rating Scale (BPRS): total, negative symptoms (NSs), positive symptoms (PSs), and anxiety-depressive symptoms (ADSs). Time-relevant indices included age at the time of evaluation, age at the onset of psychosis, and duration of psychosis. The psychopathology of psychosis types and time-relevant indices were analyzed using Pearson's correlation coefficient analysis of covariance.

RESULTS

　Age at the time of evaluation was significantly correlated with NS, and ADS scores. Age-relevant trajectories significantly interacted with psychosis types. As age advanced, patients with SC exhibited increased scores, whereas patients with CIIP often exhibited decreased (or unchanged) scores. Age at onset of psychosis was significantly correlated with NS and ADS outcomes in patients with CIIP, whereas it was not correlated in patients with SC. There were significant interactions between age at onset and psychosis types. Patients with early-onset CIIP exhibited higher NS and lower ADS scores, whereas patients with SC exhibited no particular trajectory. The duration of psychosis significantly interacted with the psychosis types in the BPRS total, NSs and PSs. As duration increased, patients with CIIP exhibited no significant relationship, whereas patients with SC exhibited significantly higher psychotic scores.

CONCLUSION

Psychopathological courses differ between patients with CIIP and SC. Although patients with SC often exhibit deteriorations in psychotic symptoms, patients with CIIP exhibit no distinct deterioration. These findings can contribute psychiatric nosology, treatment strategies, and prediction outcomes.

Effects of acute administration of 4-allyl-2,6-dimethoxyphenol in mouse models of seizures

Epilepsy, a chronic neurological disorder characterized by recurrent unprovoked seizures, presents a substantial challenge in approximately one-third of cases exhibiting resistance to conventional pharmacological treatments. This study investigated the effect of 4-allyl-2,6-dimethoxyphenol, a phenolic compound derived from various natural sources, in different models of induced seizures and its impact on animal electroencephalographic (EEG) recordings. Adult male Swiss albino mice were pre-treated (i.p.) with a dose curve of 4-allyl-2,6-dimethoxyphenol (50, 100, or 200 mg/kg), its vehicle (Tween), or standard antiepileptic drug (Diazepam; or Phenytoin). Subsequently, the mice were subjected to different seizure-inducing models - pentylenetetrazole (PTZ), 3-mercaptopropionic acid (3-MPA), pilocarpine (PILO), or maximal electroshock seizure (MES). EEG analysis was performed on other animals surgically implanted with electrodes to evaluate brain activity. Significant results revealed that animals treated with 4-allyl-2,6-dimethoxyphenol exhibited increased latency to the first myoclonic jerk in the PTZ and PILO models; prolonged latency to the first tonic-clonic seizure in the PTZ, 3-MPA, and PILO models; reduced total duration of tonic-clonic seizures in the PTZ and PILO models; decreased intensity of convulsive seizures in the PTZ and 3-MPA models; and diminished mortality in the 3-MPA, PILO, and MES models. EEG analysis indicated an increase in the percentage of total power attributed to beta waves following 4-allyl-2,6-dimethoxyphenol administration. Notably, the substance protected from behavioral and electrographic seizures in the PTZ model, preventing increases in the average amplitude of recording signals while also inducing an increase in the participation of theta and gamma waves. These findings suggest promising outcomes for the tested phenolic compound across diverse pre-clinical seizure models, highlighting the need for further comprehensive studies to elucidate its underlying mechanisms and validate its clinical relevance in epilepsy management.

Use of sedation-awakening electroencephalography in dogs with epilepsy

BACKGROUND

Electroencephalography (EEG) recording protocols have been standardized for humans. Although the utilization of techniques in veterinary medicine is increasing, a standard protocol has not yet been established.

HYPOTHESIS

Assessment of a sedation-awakening EEG protocol in dogs.

ANIMALS

Electroencephalography examination was performed in a research colony of 6 nonepileptic dogs (control [C]) and 12 dogs with epilepsy admitted to the clinic because of the epileptic seizures.

METHODS

It was a prospective study with retrospective control. Dogs with epilepsy were divided into 2 equal groups, wherein EEG acquisition was performed using a "sedation" protocol (IE-S, n = 6) and a "sedation-awakening" protocol (IE-SA, n = 6). All animals were sedated using medetomidine. In IE-SA group, sedation was reversed 5 minutes after commencing the EEG recording by injecting atipamezole IM. Type of background activity (BGA) and presence of EEG-defined epileptiform discharges (EDs) were evaluated blindly. Statistical significance was set at P > 0.05.

RESULTS

Epileptiform discharges were found in 1 of 6 of the dogs in group C, 4 of 6 of the dogs in IE-S group, and 5 of 6 of the dogs in IE-SA group. A significantly greater number of EDs (spikes, P = .0109; polyspikes, P = .0109; sharp waves, P = .01) were detected in Phase 2 in animals subjected to the "sedation-awakening" protocol, whereas there was no statistically significant greater number of discharges in sedated animals.

CONCLUSIONS AND CLINICAL IMPORTANCE

A "sedation-awakening" EEG protocol could be of value for ambulatory use if repeated EEG recordings and monitoring of epilepsy in dogs is needed.

Delineating structural and metabolic abnormalities in amygdala and hippocampal subfields for different seizure-onset patterns via stereotactic electroencephalography

AIMS

We aimed to investigate mesial temporal lobe abnormalities in mesial temporal lobe epilepsy (MTLE) patients with hypersynchronous (HYP) and low-voltage fast rhythms (LVF) onset identified by stereotactic electroencephalography (SEEG) and evaluate their diagnostic and prognostic value.

METHODS

Fifty-one MTLE patients were categorized as HYP or LVF by SEEG. High-resolution MRI volume-based analysis and 18F-FDG-PET standard uptake values of hippocampal and amygdala subfields were quantified and compared with 57 matched controls. Further analyses were conducted to delineate the distinct pathological characteristics differentiating the two groups. Diagnostic and prognostic prediction performance of these biomarkers were assessed using receiver operating characteristic curves.

RESULTS

LVF-onset individuals demonstrated ipsilateral amygdala enlargement (p = 0.048) and contralateral hippocampus hypermetabolism (p = 0.042), pathological results often accompany abnormalities in the temporal lobe cortex, while HYP-onset subjects had significant atrophy (p < 0.001) and hypometabolism (p = 0.013) in ipsilateral hippocampus and its subfields, as well as amygdala atrophy (p < 0.001), pathological results are highly correlated with hippocampal sclerosis. Severe fimbria atrophy was observed in cases of HYP-onset MTLE with poor prognosis (AUC = 0.874).

CONCLUSION

Individuals with different seizure-onset patterns display specific morphological and metabolic abnormalities in the amygdala and hippocampus. Identifying these subfield abnormalities can improve diagnostic and prognostic precision, guiding surgical strategies for MTLE.

Hot water epilepsy with alone and spontaneous seizures in childhood

OBJECTIVES

Hot water epilepsy (HWE) is a type of epilepsy that primarily affects children. This study was aimed to evaluate the clinical, electroencephalogram (EEG), neuroimaging findings, and treatment options in children with HWE.

METHODS

The medical records of 24 patients who had HWE were evaluated retrospectively.

RESULTS

There were 2767 patients diagnosed with epilepsy during the seven-year period, and 0.86 % of the patients had HWE. The median age of the patients was three (range 1.2-7 years), with a male predominance (male/female ratio: 7.1). Six patients (25 %) had HWE with spontaneous seizures (HWESS) and 18 patients (75 %) had HWE alone (HWEA). 11 patients had focal onset seizures, 13 patients had generalized onset seizures. EEG abnormalities were found in 7 patients (29.2 %). Three patients (12.5 %) had nonspecific MRI findings. Developmental abnormalities (autism spectrum disorder, learning disability and speech disturbance.) were detected in 8 patients (33.3 %). Only one patient's (4.2 %) seizure could be controlled by changing bathroom habits. Twenty-three patients (95.8 %) were given antiepileptic drugs. 18 of 24 patients had come for follow-up visits for two years, nine of them used monotherapy and seizures did not recur. The treatment response was 55.5 %. Oxcarbazepine (8 patients, 33.3 %) and valproic acid (7 patients, 29.2 %) were the most chosen two drugs for HWE. The genetic tests performed were not accepted relevant to the patients' clinical conditions and epilepsy.

CONCLUSION

The frequency of the HWE was not as high in the literature. Male predominance, EEG abnormalities may be seen. Changing bath room habits did not improve the treatment as a first line management, all the patients except one used antiepileptic drug treatment. Until now, there has been no study in Turkey showing the frequency of HWE exclusively in children.

Clinical and paraclinical features of first unprovoked seizures in the elderly

PURPOSE

The prevalence of unprovoked seizures and epilepsy rises significantly in later life stages. This study examines various factors in elderly patients (over 65 years) with their first unprovoked seizures, comparing findings with younger patients.

METHODS

We analyzed electronic medical records of individuals with first unprovoked seizures retrospectively. Diagnosis was based on patient history and witness accounts, and exclusion of other potential causes. Data included demographics, physical examination, seizure characteristics, neuroimaging, EEG findings, laboratory markers, potential causes, prescribed anti-seizure medications (ASMs) at diagnosis and follow-up, seizure-related injuries and hospital stay length.

RESULTS

We enrolled 391 patients (mean age 73.02 ± 16.5, 219 females). Most had late-onset (≥65 years) seizures (n = 295, 75.5 %). Status epilepticus was diagnosed in 10.2 %, more in the late-onset group. Elderly patients most often had focal seizures with impaired consciousness, while younger patients had focal to bilateral tonic-clonic seizures. (55.9 % vs 36.5 %). Late-onset seizures were linked to cerebrovascular diseases, small vessel disease, and cerebral atrophy, while early-onset cases were associated with brain tumors or unknown causes. Brain imaging revealed potentially epileptogenic abnormalities in 59.1 %. Positive paraneoplastic or autoimmune antibodies were found in 0.8 %. Abnormal EEGs were present in 25.9 %, more in the late-onset group. Most patients were discharged with levetiracetam (LEV) or lamotrigine (LTG) monotherapy. Nine patients with late-onset seizures died during in-hospital follow-up.

CONCLUSION

Our findings can contribute to the improved identification and characterization of patients with late-onset seizures, facilitating targeted diagnostics and appropriate treatment in this challenging patient population.

New epilepsy therapies in development

Epilepsy is a common brain disorder, characterized by spontaneous recurrent seizures, with associated neuropsychiatric and cognitive comorbidities and increased mortality. Although people at risk can often be identified, interventions to prevent the development of the disorder are not available. Moreover, in at least 30% of patients, epilepsy cannot be controlled by current antiseizure medications (ASMs). As a result of considerable progress in epilepsy genetics and the development of novel disease models, drug screening technologies and innovative therapeutic modalities over the past 10 years, more than 200 novel epilepsy therapies are currently in the preclinical or clinical pipeline, including many treatments that act by new mechanisms. Assisted by diagnostic and predictive biomarkers, the treatment of epilepsy is undergoing paradigm shifts from symptom-only ASMs to disease prevention, and from broad trial-and-error treatments for seizures in general to mechanism-based treatments for specific epilepsy syndromes. In this Review, we assess recent progress in ASM development and outline future directions for the development of new therapies for the treatment and prevention of epilepsy.

Genotypic and phenotypic characteristics of sodium channel-associated epilepsy in Chinese population

Variants in voltage-gated sodium channel (VGSC) genes are implicated in seizures, epilepsy, and neurodevelopmental disorders, constituting a significant aspect of hereditary epilepsy in the Chinese population. Through retrospective analysis utilizing next-generation sequencing (NGS), we examined the genotypes and phenotypes of VGSC-related epilepsy cases from a cohort of 691 epilepsy subjects. Our findings revealed that 5.1% of subjects harbored VGSC variants, specifically 22 with SCN1A, 9 with SCN2A, 1 with SCN8A, and 3 with SCN1B variants; no SCN3A variants were detected. Among these, 14 variants were previously reported, while 21 were newly identified. SCN1A variant carriers predominantly presented with Dravet Syndrome (DS) and Genetic Epilepsy with Febrile Seizures Plus (GEFS + ), featuring a heightened sensitivity to fever-induced seizures. Statistically significant disparities emerged between the SCN1A-DS and SCN1A-GEFS+ groups concerning seizure onset and genetic diagnosis age, incidence of status epilepticus, mental retardation, anti-seizure medication (ASM) responsiveness, and familial history. Notably, subjects with SCN1A variants affecting the protein's pore region experienced more frequent cluster seizures. All SCN2A variants were of de novo origin, and 88.9% of individuals with SCN2A variations exhibited cluster seizures. This research reveals a significant association between variations in VGSC-related genes and the clinical phenotype diversity of epilepsy subjects in China, emphasizing the pivotal role of NGS screening in establishing accurate disease diagnoses and guiding the selection of ASM.

Predicting efficacy of antiseizure medication treatment with machine learning algorithms in North Indian population

PURPOSE

This study aimed to develop a classifier using supervised machine learning to effectively assess the impact of clinical, demographical, and biochemical factors in accurately predicting the antiseizure medications (ASMs) treatment response in people with epilepsy (PWE).

METHODS

Data was collected from 786 PWE at the Outpatient Department of Neurology, Institute of Human Behavior and Allied Sciences (IHBAS), New Delhi, India from 2005 to 2015. Patients were followed up at the 2nd, 4th, 8th, and 12th month over the span of 1 year for the drugs being administered and their dosage, the serum drug levels, the frequency of seizure control, drug efficacy, the adverse drug reactions (ADRs), and their compliance to ASMs. Several features, including demographic details, medical history, and auxiliary examinations electroencephalogram (EEG) or Computed Tomography (CT) were chosen to discern between patients with distinct remission outcomes. Remission outcomes were categorized into 'good responder (GR)' and 'poor responder (PR)' based on the number of seizures experienced by the patients over the study duration. Our dataset was utilized to train seven classical machine learning algorithms i.e Extreme Gradient Boost (XGB), K-Nearest Neighbor (KNN), Support Vector Classifier (SVC), Decision Tree (DT), Random Forest (RF), Naïve Bayes (NB) and Logistic Regression (LR) to construct classification models.

RESULTS

Our research findings indicate that 1) among the seven algorithms examined, XGB and SVC demonstrated superior predictive performances of ASM treatment outcomes with an accuracy of 0.66 each and ROC-AUC scores of 0.67 (XGB) and 0.66 (SVC) in distinguishing between PR and GR patients. 2) The most influential factor in discerning PR to GR patients is a family history of seizures (no), education (literate) and multitherapy with Chi-square (χ2) values of 12.1539, 8.7232 and 13.620 respectively and odds ratio (OR) of 2.2671, 0.4467, and 1.9453 each. 3). Furthermore, our surrogate analysis revealed that the null hypothesis for both XGB and SVC was rejected at a 100 % confidence level, underscoring the significance of their predictive performance. These findings underscore the robustness and reliability of XGB and SVC in our predictive modelling framework.

SIGNIFICANCE

Utilizing XG Boost and SVC-based machine learning classifier, we successfully forecasted the likelihood of a patient's response to ASM treatment, categorizing them as either PR or GR, post-completion of standard epilepsy examinations. The classifier's predictions were found to be statistically significant, suggesting their potential utility in improving treatment strategies, particularly in the personalized selection of ASM regimens for individual epilepsy patients.

Impact of epilepsy surgery on developmental trajectories of children under 3 years of age

AIM

To investigate the developmental effects of epilepsy surgery in young children.

METHOD

This study retrospectively reviewed 315 consecutive children under 3 years of age, and ultimately included 89 children (48 males, 41 females) with pre- and postsurgery developmental evaluations.

RESULTS

The mean general quotient before surgery was 46.7 (SD 24.7). Before surgery, the general quotient decreased in 77.6% of patients, while after surgery it increased in 55.1%. Furthermore, 70% of those 20 patients whose presurgical general quotient decreased by more than 10 points experienced positive changes. General quotient scores decreased in 15 out of the 22 patients classified in the normal/marginal presurgical category. Children who underwent surgery before the age of 12 months had a median gain in general quotient score by 7.6. Short-term general quotient scores were highly correlated with long-term scores (r = 0.909, p < 0.001).

INTERPRETATION

Surgical intervention was more inclined to positively impact developmental trajectories within a short postsurgical period, particularly among those affected by severe epileptic activity. However, in children with relatively typical development, certain developmental setbacks may arise. Postsurgical short-term developmental outcomes could predict longer-term outcomes.

FDG-PET/MRI in the presurgical evaluation of pediatric epilepsy

In patients with drug-resistant epilepsy, difficulties in identifying the epileptogenic zone are well known to correlate with poorer clinical outcomes post-surgery. The integration of PET and MRI in the presurgical assessment of pediatric patients likely improves diagnostic precision by confirming or widening treatment targets. PET and MRI together offer superior insights compared to either modality alone. For instance, PET highlights abnormal glucose metabolism, while MRI precisely localizes structural anomalies, providing a comprehensive understanding of the epileptogenic zone. Furthermore, both methodologies, whether utilized through simultaneous PET/MRI scanning or the co-registration of separately acquired PET and MRI data, present unique advantages, having complementary roles in lesional and non-lesional cases. Simultaneous FDG-PET/MRI provides precise co-registration of functional (PET) and structural (MR) imaging in a convenient one-stop-shop approach, which minimizes sedation time and reduces radiation exposure in children. Commercially available fusion software that allows retrospective co-registration of separately acquired PET and MRI images is a commonly used alternative. This review provides an overview and illustrative cases that highlight the role of combining 18F-FDG-PET and MRI imaging and shares the authors' decade-long experience utilizing simultaneous PET/MRI in the presurgical evaluation of pediatric epilepsy.

Next-generation sequencing in pediatric-onset epilepsies: Analysis with target panels and personalized therapeutic approach

OBJECTIVE

The objective of this study is to report the results of the genetic analysis in a large and well-characterized population with pediatric-onset epilepsies and to identify those who could benefit from precision medicine treatments.

METHODS

In this retrospective observational study, we consecutively recruited patients with pediatric-onset epilepsy observed at a tertiary neurological center over a time span of 7 years, collecting clinical and laboratory findings. Following in-depth diagnostic process to exclude possible structural and metabolic causes of the disease, patients with a suspected genetically determined etiology underwent next-generation sequencing (NGS) screening with panels for the analysis of target genes causative of epilepsy.

RESULTS

We detected likely pathogenic or pathogenic variants (classes IV and V) in 24% of the 562 patients who underwent genetic investigations. By the evaluation of patients' data, we observed that some features (onset of epilepsy before one year old, presence of neurological deficits, psychomotor delay/cognitive disability, and malformative aspects at brain MRI) were significantly associated with class IV or V variants. Moreover, statistical analysis showed that the diagnostic yield resulted higher for patients affected by Progressive Myoclonic Epilepsy (PME) and with early onset developmental and epileptic encephalopathies (DEE), compared with focal epilepsies, genetic generalized epilepsies, DEE with onset at/after 1 y.o., and unclassified epileptic syndromes. According to the results of the genetic screening, up to 33% of patients carrying class IV or V variants resulted potentially eligible for precision medicine treatments.

SIGNIFICANCE

The large-scale application of NGS multigene panels of analysis is a useful tool for the molecular diagnosis of patients with pediatric-onset epilepsies, allowing the identification of those who could benefit from a personalized therapeutic approach.

PLAIN LANGUAGE SUMMARY

The analysis of patients with pediatric-onset epilepsy using advanced technologies for the screening of all the implicated genes allows the identification of the cause of diseases in an ever-increasing number of cases. Understanding the pathogenic mechanisms could, in some cases, guide the selection and optimization of appropriate treatment approaches for patients.