Citations

Abstract The accurate interpretation of scalp EEG remains an instrumental diagnostic component of epilepsy care. Knowledge of what constitutes normal EEG findings, non‐epileptiform abnormalities, and epileptiform patterns—both ictal and interictal—is essential for appropriate patient management. The International League Against Epilepsy (ILAE) has developed an educational curriculum containing learning objectives necessary to accurately diagnose and manage people with epilepsy. In this Seminar in Epileptology, we address the learning objectives related to assessment and interpretation of EEG background activity, normal sleep patterns, provocation methods, interictal abnormalities, and ictal patterns, as well as a brief discussion on relevant advances in scalp EEG analysis and future perspectives on this topic.

Abstract Rumination syndrome (RS) is a common pediatric disorder of gut–brain interaction. However, a dearth of research on efficacious treatment to help guide clinical decision‐making remains. Thus, relying on well‐established treatment recommendations for other conditions with similar mechanisms or symptom profiles may be helpful; for example, conceptualizing RS treatment targets to address it as a “tic disorder of the gut” could be beneficial. To demonstrate the clinical utility of this conceptualization, we presented two cases that provide broad implications for treating pediatric RS. In both cases, akin to pediatric tic and related disorders, cognitive distress and physical discomfort were alleviated temporarily by rumination episodes. Thus, we recommend a targeted diagnostic assessment, including a functional analysis incorporating a transdiagnostic evaluation of symptoms. Close comanagement with specialty physicians and psychologists is also highly recommended. The patients represent complex yet standard cases seen in pediatric psychology outpatient clinics, suggesting the clinical utility of implications for psychologists and allied health professionals.

Abstract Molecular characterization of high-grade B-cell lymphoma, not otherwise specified (HGBCL-NOS), is hindered by its rarity, evolving definition, and poor diagnostic reproducibility. To address this challenge, we analyzed 92 HGBCL-NOS tumors collected across Lymphoma/Leukemia Molecular Profiling Project sites. Leveraging comparison cohorts of diffuse large B-cell lymphoma, NOS (DLBCL-NOS) and Burkitt lymphoma (BL), and molecular frameworks described in these entities, our analysis revealed a heterogenous molecular landscape, reminiscent of DLBCL-NOS but with an enrichment of BL features. By cell-of-origin classification, 59% were germinal center B-cell–like (GCB), and 25% were activated B-cell–like (ABC). LymphGen, a genetic classifier for DLBCL-NOS, assigned a genetic subtype to 34% of HGBCL-NOS. Although classification rate was lower than in DLBCL-NOS (66%), assigned subtypes spanned the spectrum of LymphGen classes, including 31% of ABCs classified as MCD. Features differentiating HGBCL-NOS from DLBCL-NOS included MYC rearrangement (47% vs 6%); dark zone signature (DZsig) expression (45% vs 7%); and more frequent mutation of ID3, MYC, CCND3, and TP53, all common to BL. A genetic classifier that differentiates DLBCL-NOS from BL classified 53% of DZsig+ tumors as BL-like, and those classified as DLBCL-like were frequently BCL2-rearranged. Among DZsig− GCB tumors, 95% were DLBCL-like. Centralized pathology review reclassified almost half of tumors as DLBCL-NOS but did not identify a more homogenous HGBCL-NOS population, with no difference in features between confirmed and reclassified tumors. In conclusion, molecular testing enables a subset of HGBCL-NOS to be assigned to established categories. Based on rarity and diagnostic challenges, broader inclusion of HGBCL-NOS should be considered in biomarker-driven DLBCL trials.

Abstract Objective To assess the localization and lateralization values of ictal emotional features and ictal defensive behaviors in pediatric and young adult patients with frontal lobe epilepsy (FLE). Methods Children and young adults with FLE were identified from a single institution's epilepsy surgery database. Two epileptologists determined by consensus the presence of ictal emotional features (positive‐ smile, laughter, humming, singing; negative‐ fear, crying, anger, disgust, contempt, sadness) and ictal defensive behaviors (freezing with a fearful facial expression, shielding the face with hands, burying the face in a pillow, or exhibiting hyperkinetic motor behaviors like attempting to escape from bed or resisting restraint) in each patient's first video EEG (vEEG). Historic seizure semiology and vEEG reports were compared with the consensus vEEG analysis. Longitudinal changes in ictal emotional features were defined by the emergence or resolution of ictal emotional features between historic seizure semiology and re‐review of presurgical vEEG analysis. Subgroup analyses were conducted according to the seizure lateralization (left vs. right) and sublobar localization (precentral, medial, lateral, extensive) based on surgical extent. Results Twenty‐three FLE patients were included (female 39%; mean age at vEEG analysis: 11.28 years, range 1.75–20.17). The inter‐rater reliability was very good for both ictal emotional features ( κ = 0.81, 95% CI: 0.59–1) and ictal defensive behaviors ( κ = 0.91, 95% CI: 0.79–1). Ictal emotional features were observed in 10 patients (43.4%), with negative emotions present in 70% (7/10) of these cases. vEEG reports lacked documentation of ictal emotional features in two patients. Although ictal emotional features showed no statistical correlation by sublobar regions, ictal defensive behaviors were consistently seen in medial compared to lateral FLE (100% vs. 16.6%; p = 0.004). Longitudinal changes in ictal emotional features were observed in 8 (34.7%) patients. Significance Ictal emotional features were common in pediatric and young adult FLE patients and were mainly negative. Ictal defensive behaviors were more likely associated with medial FLE. Longitudinal changes in ictal emotional features occurred in about a third of pediatric and young adult patients with FLE. Plain Language Summary This study examined emotional features and defensive behaviors during seizures in children and young adults with FLE. Negative emotions were commonly seen during seizures. Ictal defensive behaviors were more frequently observed in patients with medial FLE, and recognizing these signs could help clinicians localize the seizures. Changes in emotional features were seen over time in about one‐third of children and young adult patients.

ABSTRACT 3‐hydroxy acylcarnitines (3‐OH‐ACs) are key biomarkers for screening of long‐chain 3‐hydroxyacyl‐CoA dehydrogenase and trifunctional protein deficiencies (LCHADD/TFPD). The utility of this biomarker for disease monitoring in identified patients remains debated, and recent suggestions have highlighted the potential use of lipidomics for diagnosis, monitoring, prognosis, and/or identification of new biomarkers. We evaluated the use of omics in LCHADD/TFPD patients by analyzing plasma acylcarnitine profiles, metabolomics, and lipidomics, combined with genotype, visual assessments, and dietary records. Fasting plasma from 39 participants with LCHADD/TFPD and 32 control subjects were analyzed through untargeted metabolomic and lipidomic analyses. In LCHADD/TFPD participants, acylcarnitine profiling, visual and retinal function assessments were performed, and 3‐day diet records were collected. Relationships between acylcarnitines, metabolomics, lipidomics, along with visual outcomes and dietary intake were investigated. Plasma of LCHADD/TFPD participants exhibited elevated 3‐OH‐ACs, which correlated with genotype and visual outcomes. Metabolomics successfully distinguished LCHADD/TFPD from controls, and the biggest divergence was observed in lipid pathways. Metabolomic profiles tightly correlated with 3‐OH‐ACs, genotype, and visual outcomes. Lower concentrations of total lipids and some individual lipid species such as phosphoethanolamines (PE) were detected in LCHADD/TFPD, except for elevations in several certain triglycerides. LCHADD/TFPD participants followed a diet low in long‐chain fat (LCFA) as recommended. LCFA intake did not correlate with either plasma 3‐OH‐ACs or metabolomics. 3‐OH‐ACs are strong consistent biomarkers of LCHADD/TFPD that are associated with clinical parameters of vision and genotype. We did not observe a relationship between dietary LCFA intake and 3‐OH‐ACs.

Pediatric central nervous system tumors are the leading cause of cancer-related deaths in children. The five-year survival rate for high-grade glioma in children is less than 20%. The development of new treatments is dependent upon multi-institutional collaborative clinical trials requiring reproducible and accurate centralized response assessment. We present the results of the BraTS-PEDs 2023 challenge, the first Brain Tumor Segmentation (BraTS) challenge focused on pediatric brain tumors. This challenge utilized data acquired from multiple international consortia dedicated to pediatric neuro-oncology and clinical trials. BraTS-PEDs 2023 aimed to evaluate volumetric segmentation algorithms for pediatric brain gliomas from magnetic resonance imaging using standardized quantitative performance evaluation metrics employed across the BraTS 2023 challenges. The top-performing AI approaches for pediatric tumor analysis included ensembles of nnU-Net and Swin UNETR, Auto3DSeg, or nnU-Net with a self-supervised framework. The BraTS-PEDs 2023 challenge fostered collaboration between clinicians (neuro-oncologists, neuroradiologists) and AI/imaging scientists, promoting faster data sharing and the development of automated volumetric analysis techniques. These advancements could significantly benefit clinical trials and improve the care of children with brain tumors.

The translation of AI-generated brain metastases (BM) segmentation into clinical practice relies heavily on diverse, high-quality annotated medical imaging datasets. The BraTS-METS 2023 challenge has gained momentum for testing and benchmarking algorithms using rigorously annotated internationally compiled real-world datasets. This study presents the results of the segmentation challenge and characterizes the challenging cases that impacted the performance of the winning algorithms. Untreated brain metastases on standard anatomic MRI sequences (T1, T2, FLAIR, T1PG) from eight contributed international datasets were annotated in stepwise method: published UNET algorithms, student, neuroradiologist, final approver neuroradiologist. Segmentations were ranked based on lesion-wise Dice and Hausdorff distance (HD95) scores. False positives (FP) and false negatives (FN) were rigorously penalized, receiving a score of 0 for Dice and a fixed penalty of 374 for HD95. The mean scores for the teams were calculated. Eight datasets comprising 1303 studies were annotated, with 402 studies (3076 lesions) released on Synapse as publicly available datasets to challenge competitors. Additionally, 31 studies (139 lesions) were held out for validation, and 59 studies (218 lesions) were used for testing. Segmentation accuracy was measured as rank across subjects, with the winning team achieving a LesionWise mean score of 7.9. The Dice score for the winning team was 0.65 ± 0.25. Common errors among the leading teams included false negatives for small lesions and misregistration of masks in space. The Dice scores and lesion detection rates of all algorithms diminished with decreasing tumor size, particularly for tumors smaller than 100 mm3. In conclusion, algorithms for BM segmentation require further refinement to balance high sensitivity in lesion detection with the minimization of false positives and negatives. The BraTS-METS 2023 challenge successfully curated well- annotated, diverse datasets and identified common errors, facilitating the translation of BM segmentation across varied environments and providing the tools for future development of personalized volumetric reports to patients undergoing BM treatment.

Abstract Objective This study was undertaken to evaluate the response to second treatments for infantile epileptic spasms syndrome (IESS). Methods Infants aged 2–24 months with IESS were prospectively enrolled in the National Infantile Spasms Cohort study at 21 pediatric epilepsy centers in the United States from 2012 to 2018. We analyzed data from infants who initially received standard treatment (hormonal therapy [adrenocorticotropic hormone, high‐dose prednisolone] or vigabatrin), had continued or recurring epileptic spasms, and received a second treatment. We excluded those with tuberous sclerosis. Treatment groups included hormonal therapy followed by vigabatrin (reference), hormonal‐to‐hormonal, hormonal‐to‐nonstandard, vigabatrin‐to‐hormonal, and vigabatrin‐to‐nonstandard. Nonstandard treatments included other antiseizure medications and dietary therapy. Treatment groups were tested for differences in 3‐month clinical remission using a binary logistic regression to estimate odds ratios (ORs). Results There were 153 infants with IESS who received second treatments. The highest rates of 3‐month remission were among infants in the hormonal‐to‐vigabatrin (22/65, 34%) and vigabatrin‐to‐hormonal (9/26, 35%) groups, followed by vigabatrin‐to‐nonstandard (3/10, 30%), hormonal‐to‐hormonal (4/22, 18%), and hormonal‐to‐nonstandard (1/30, 3.3%). Compared to the hormonal‐to‐vigabatrin group (reference), fewer infants had remission in the hormonal‐to‐nonstandard group (OR = .07, 95% confidence interval [CI] = .01–.53), and there was a trend toward fewer infants in the hormonal‐to‐hormonal group (OR = .43, 95% CI = .13–1.4, p = .17). Following initial hormonal treatment, the number needed to treat was three infants for one additional infant to have remission when treated with vigabatrin compared to nonstandard therapy as the second treatment. Significance This updated analysis with an expanded sample size provided power for additional subgroup analysis. Overall response rates were low, and at best only one third had remission after second treatment. Results support a clinical strategy of switching mechanism of action when selecting a second medication for epileptic spasms (i.e., use vigabatrin after hormonal therapy, or hormonal therapy after vigabatrin). Our findings also support the use of standard over nonstandard therapies.

Objective To compare the efficacy of abatacept to placebo for the treatment of relapsing, nonsevere granulomatosis with polyangiitis (GPA). Methods In this multicenter trial, eligible patients with relapsing, nonsevere GPA were randomized to receive abatacept 125 mg subcutaneously once a week or placebo, both together with prednisone 30 mg/day (or equivalent), tapered and discontinued at week 12. Patients already taking methotrexate, azathioprine, mycophenolate, or leflunomide continued this medication at a stable dose. Patients achieving remission remained on their randomized assignment until relapse, early termination, or the common close date 12 months after enrollment of the last patient. Those who had a nonsevere relapse, had nonsevere worsening, or were not in remission by month 6 had the option to receive open‐label abatacept. The primary end point was the rate of treatment failure, defined as relapse, disease worsening, or failure to achieve a Birmingham Vasculitis Activity Score for Wegener's Granulomatosis (BVAS/WG) of 0 or 1 by six months. Results Sixty‐five patients were randomized; 34 received abatacept and 31 received placebo. No statistical difference in the treatment failure rate was found between those who received abatacept and those who received placebo ( P = 0.853). Treatment with abatacept did not demonstrate any statistical difference from placebo in key secondary end points, including time to full remission (BVAS/WG = 0), duration of glucocorticoid‐free remission, relapse severity, prevention of damage, and patient‐reported quality‐of‐life outcomes. There was no difference in the frequency or severity of adverse events between treatment arms, including infection. Conclusion In patients with relapsing, nonsevere GPA, abatacept did not reduce the risk of relapse, severe worsening, or failure to achieve remission.

Numerous factors including social determinants of health, knowledge gaps, economic challenges, workforce limitations, and health system deficiencies are associated with significant disparities in access to health care services and health outcomes for people with epilepsy (PWE). The American Epilepsy Society (AES) and the International League Against Epilepsy—North America (ILAE-NA) established a joint task force to explore and develop recommendations to address health care disparities experienced by PWE. The task force gathered foundational knowledge through meetings, public and patient organization comments and discussions to develop consensus recommendations. We enumerate the recommendations and discuss the rationale behind them to reduce disparities in epilepsy care through comprehensive research, inclusive clinical practices, robust advocacy, and targeted educational initiatives. While our recommendations are focused on the United States, we acknowledge that similar barriers and limitations exist for PWE globally and that these also need to be addressed within their local domains and with attention to unique factors therewithin.