Fine, Anthony L.

Developmental/epileptic encephalopathy with spike-wave activation in sleep (DEE-SWAS) is newly proposed nomenclature put forth by the International League Against Epilepsy (ILAE) to replace the problematic electrographic and/or clinical phenotypes of electrical status epilepticus of sleep (ESES) and continuous spike-wave in sleep (CSWS). The nomenclature update represents a noble effort to minimize the confusion of how to define and appropriately utilize this alphabet soup of acronyms, thereby aiding in future clinical and research efforts. The name change fails to capture greater challenges within the field, which still plague diagnosis and treatment and stagnates substantive research advancements. Through a directed literature review of DEE-SWAS with emphasis on the new ILAE nomenclature and the RESCUE-ESES trial, we will highlight major persistent quandaries in the field. These include inadequate or insufficient diagnostic biomarkers (ie, the spike wave index), the highly variable clinical manifestations, ranging from dubious associations to profound developmental regression, presumptively caused by spike-wave activation in sleep, and variable and often ineffective treatment paradigms. We will also review the broader diagnostic evaluation of DEE-SWAS. By doing so, we aim to shed light on crucial research and clinical questions that could advance our understanding of diagnosing and treating children with DEE-SWAS, as well as addressing the uncertainty surrounding the neurological effects of sleep-activated epileptiform discharges.

AbstractObjectiveStereoelectroencephalography‐guided radiofrequency thermocoagulation (SEEG‐guided RFTC) has been increasingly used as diagnostic and therapeutic approach for drug‐resistant focal epilepsies (DREs). We aimed to describe seizure outcomes of RFTC before and after further neurosurgical intervention.MethodsRetrospective single‐institution case series of patients who underwent SEEG‐RFTC. The primary outcome was Engel class I–IV classification ([responders Engel I–III and non‐responders Engel IV]) at last follow‐up after RFTC and prior to further neurosurgical intervention (open surgical resection, laser ablation, and neuromodulation).ResultsTwenty‐five patients (median age 18.9 years) with DRE were included. The median follow‐up time after RFTC was 7.2 months, including 20 patients who underwent further intervention (median follow‐up time of 7.3 months) and 5 without intervention (median of 3.5 months). From the patients who had further intervention, 17 (85%) underwent surgical procedure (laser ablation 53%, open surgical resection 47%) (median 4.4 months) and 3 (15%) had responsive neurostimulators placed (median 6.9 months). Prior to further intervention (median follow‐up 3.5 months after RFTC), 12 (48%) patients were classified as responders (12% Engel class I, 16% class II, and 20% class III) and 13 (52%) as non‐responders. Following neurosurgical intervention, 17 (68%) patients were followed for a median time of 2.7 months and 3 were lost to follow‐up. Of eight initial RFTC responders, 87.5% and 12.5% had Engel classes I and III, respectively. Of nine who were non‐responders, 33% had Engel class I, 22% II and III, and 44% IV outcomes following further intervention. No neurologic complications were reported.SignificanceSEEG‐guided RFTC is a well‐tolerated procedure and a beneficial diagnostic approach prior to further neurosurgical interventions in patients with DRE.Plain Language SummarySEEG‐guided RFTC is a well‐tolerated procedure and in the patients who experienced initial seizure reduction (n = 8), subsequent neurosurgical intervention (surgery or neuromodulation) led to favorable seizure outcomes (87.5% seizure freedom and 12.5% worthwhile seizure improvement).

AbstractDevelopmental and epileptic encephalopathies (DEEs) are a group of rare, severe, early-onset epilepsies characterized by pharmacoresistance, marked electroencephalographic abnormalities, and delayed or regressive psychomotor development. DEEs are associated with poor long-term outcomes and increased mortality; however, early recognition and targeted treatment can impact neurodevelopmental outcomes and overall quality of life. Treatment with antiseizure medication is often challenging given drug resistance, chronic polypharmacy, and medication interactions. With advances in genetic testing and increased understanding of the neurobiological mechanisms of DEEs, the treatment approach is evolving and includes repurposed antiseizure medications and targeted therapies, as well as early surgical intervention in select patients. In addition to high seizure burden and neurodevelopmental delay, DEEs are associated with comorbidities affecting a range of body systems; these can include intellectual disability, psychiatric disorders, motor dysfunction, and respiratory and gastrointestinal problems. Over time, these comorbidities increase the complexity of management and have important implications on the disease burden and quality of life for both patients and their caregivers. Multidisciplinary care in DEEs is paramount. We summarize the current evidence on the management of specific DEEs, focusing on targeted therapies and optimizing outcomes.

Automated detection of tonic seizures using wearable movement sensor and artificial neural network Larsen SA, Johansen DH, Beniczky S. Epilepsia . 2024 Jul 30. doi: 10.1111/epi.18077 . Epub ahead of print. PMID: 39076045. Although several validated wearable devices are available for the detection of generalized tonic-clonic seizures, automated detection of tonic seizures is still a challenge. In this phase 1 study, we report the development and validation of an artificial neural network (ANN) model for automated detection of tonic seizures with visible clinical manifestation using a wearable wristband movement sensor (accelerometer and gyroscope). The dataset prospectively recorded for this study included 70 tonic seizures from 15 patients (7 males, age 3-46 years, median = 19 years). We trained an ANN model to detect tonic seizures. The independent test dataset comprised nocturnal recordings, including 10 tonic seizures from 3 patients and additional (distractor) data from 3 subjects without seizures. The ANN model detected nocturnal tonic seizures with visible clinical manifestation with a sensitivity of 100% (95% confidence interval = 69%-100%) and with an average false alarm rate of 0.16/night. The mean detection latency was 14.1 s (median = 10 s), with a maximum of 47 s. These data suggest that nocturnal tonic seizures can be reliably detected with movement sensors using ANN. Large-scale, multicenter prospective (phase 3) trials are needed to provide compelling evidence for the clinical utility of this device and detection algorithm.

AbstractThe aim of this study is to report three cases of epilepsy with eyelid myoclonia (EEM) with CHD2 pathogenic variants. A database of 134 patients with EEM evaluated at Mayo Clinic sites was searched to identify patients with CHD2 variants. The medical records of those identified were reviewed to describe their presentation, treatment, and clinical course. Three patients (2 males, 1 female) with EEM were found to harbor de novo CHD2 pathogenic variants (c.2636C>T p.(Ala879Val), c.3734delA p. (Lys1245Asnfs*4), and c.3896delTinsCG p. (Val1299Alafs*5)). All three patients had comorbid autism spectrum disorder (ASD), intellectual disability (ID), and attention deficit disorder (ADHD). Eyelid myoclonia was a prominent seizure type that persisted in the three patients despite trials of multiple antiseizure medications. Generalized tonic–clonic seizures occurred in two of the patients but were controlled with antiseizure medications. Genetic testing should be considered in patients presenting with EEM, especially when ADHD, ID, ASD, and drug‐resistant seizures are present. Further understanding of the relationship between CHD2 variants and epileptogenesis may provide important insights into the pathogenesis of EEM.

Severe Communication Delays are Independent of Seizure Burden and Persist Despite Contemporary Treatments in SCN1A+ Dravet Syndrome: Insights From the ENVISION Natural History Study Perry MS, Scheffer IE, Sullivan J, Brunklaus A, Boronat S, Wheless JW, Laux L, Patel AD, Roberts CM, Dlugos D, Holder D, Knupp KG, Lallas M, Phillips S, Segal E, Smeyers P, Lal D, Wirrell E, Zuberi S, Brünger T, Wojnaroski M, Maru B, O'Donnell P, Morton M, James E, Vila MC, Huang N, Gofshteyn JS, Rico S. Epilepsia . 2024 Feb;65(2):322–337. Epub 2023 Dec 22. PMID: 38049202. doi: 10.1111/epi.17850 Objective: Dravet syndrome (DS) is a developmental and epileptic encephalopathy characterized by high seizure burden, treatment-resistant epilepsy, and developmental stagnation. Family members rate communication deficits among the most impactful disease manifestations. We evaluated seizure burden and language/communication development in children with DS. Methods: ENVISION was a prospective, observational study evaluating children with DS associated with SCN1A pathogenic variants (SCN1A+ DS) enrolled at age ≤5 years. Seizure burden and antiseizure medications were assessed every 3 months and communication and language every 6 months with the Bayley Scales of Infant and Toddler Development 3rd edition and the parent-reported Vineland Adaptive Behavior Scales 3rd edition. We report data from the first year of observation, including analyses stratified by age at Baseline: 0:6-2:0 years:months (Y:M; youngest), 2:1-3:6 Y:M (middle), and 3:7-5:0 Y:M (oldest). Results: Between December 2020 and March 2023, 58 children with DS enrolled at 16 sites internationally. Median follow-up was 17.5 months (range = 0.0-24.0), with 54 of 58 (93.1%) followed for at least 6 months and 51 of 58 (87.9%) for 12 months. Monthly countable seizure frequency (MCSF) increased with age (median [minimum-maximum] = 1.0 in the youngest [1.0-70.0] and middle [1.0-242.0] age groups and 4.5 [0.0-2647.0] in the oldest age group), and remained high, despite use of currently approved antiseizure medications. Language/communication delays were observed early, and developmental stagnation occurred after age 2 years with both instruments. In predictive modeling, chronologic age was the only significant covariate of seizure frequency (effect size = .52, P = .024). MCSF, number of antiseizure medications, age at first seizure, and convulsive status epilepticus were not predictors of language/communication raw scores. Significance: In infants and young children with SCN1A+ DS, language/communication delay and stagnation were independent of seizure burden. Our findings emphasize that the optimal therapeutic window to prevent language/communication delay is before 3 years of age.

OBJECTIVE Stereoelectroencephalography (SEEG) has become the predominant method for intracranial seizure localization. When imaging, semiology, and scalp EEG findings are not in full agreement or definitively localizing, implanted SEEG recordings are used to test candidate seizure onset zones (SOZs). Discovered SOZs may then be targeted for resection, laser ablation, or neurostimulation. If an SOZ is eloquent, resection and ablation are both contraindicated, so identifying functional representation is crucial for therapeutic decision-making. The authors present a novel functional brain mapping technique that utilizes task-based electrophysiological changes in SEEG during behavioral tasks and test this in pediatric and adult patients. METHODS SEEG was recorded in 20 patients with epilepsy who ranged in age from 6 to 39 years (12 female, 18 of 20 patients < 21 years of age) and underwent implanted monitoring to identify seizure onset. Each performed 1) visually cued simple repetitive movements of the hand, foot, or tongue while electromyography was recorded; and 2) simple picture-naming or verb-generation speech tasks while audio was recorded. Broadband changes in the power spectrum of the SEEG recording were compared between behavior and rest. RESULTS Electrophysiological functional mapping of movement and/or speech areas was completed in all 20 patients. Eloquent representation was identified in both cortex and white matter and generally corresponded to classically described functional anatomical organization as well as other clinical mapping results. Robust maps of brain activity were identified in healthy brain, regions of developmental or acquired structural abnormality, and SOZs. CONCLUSIONS Task-based electrophysiological mapping using broadband changes in the SEEG signal reliably identifies movement and speech representation in pediatric and adult epilepsy patients.

Content available: Video

Video Analyses of Sudden Unexplained Deaths in Toddlers Gould L, Reid CA, Rodriguez AJ, Devinsky O; for SUDC Video Working Group. Neurology . 2024;102(3):e208038. doi: 10.1212/WNL.0000000000208038 . PMID: 38175965 Background and objectives: More than 2,900 US children aged younger than 4 years die from unknown causes each year, accounting for more than 219,000 life years lost annually. They are mostly sleep-related and unwitnessed with unremarkable autopsies, limiting our understanding of death mechanisms. We sought to understand potential mechanisms of death by evaluating videos of sudden deaths in toddlers. Methods: In our registry of 301 sudden unexplained child deaths, a series of 7 consecutively enrolled cases with home video recordings of the child’s last sleep period were independently assessed by 8 physicians for video quality, movement, and sound. Results: Four boys and 3 girls (13-27 months at death) with terminal videos shared similar demographic features to the 293 other registry cases without video recordings. Five video recordings were continuous and 2 were triggered by sound or motion; 2 lacked audio. All continuous recordings included a terminal convulsive event lasting 8-50 seconds; 4 children survived for >2.5 minutes postconvulsion. Among discontinuous videos, time lapses limited review; 1 suggested a convulsive event. Six were prone with face down, and 1 had autopsy evidence of airway obstruction. Primary cardiac arrhythmias were not supported; all 7 children had normal cardiac pathology and whole-exome sequencing identified no known cardiac disease variants. Discussion: Audio-visual recordings in 7 toddlers with unexplained sudden deaths strongly implicate that deaths were related to convulsive seizures, suggesting that many unexplained sleep-related deaths may result from seizures. Exome Analysis Focusing on Epilepsy-Related Genes in Children and Adults With Sudden Unexplained Death Buerki SE, Haas C, Neubauer J. Seizure . 2023;113:66-75. doi: 10.1016/j.seizure.2023.11.002 . PMID: 37995443 Purpose: Genetic studies in sudden infant death syndrome (SIDS) and sudden unexplained death (SUD) cohorts have indicated that cardiovascular diseases might have contributed to sudden unexpected death in 20% to 35% of autopsy-negative cases. Sudden unexpected death can also occur in people with epilepsy, termed as sudden unexpected death in epilepsy (SUDEP). The pathophysiological mechanisms of SUDEP are not well understood, but are likely multifactorial, including seizure-induced hypoventilation and arrhythmias as well as genetic risk factors. The sudden death of some of the SIDS/SUD victims might also be explained by genetic epilepsy, therefore this study aimed to expand the post-mortem genetic analysis of SIDS/SUD cases to epilepsy-related genes. Methods: Existing whole-exome sequencing data from our 155 SIDS and 45 SUD cases were analyzed, with a focus on 365 epilepsy-related genes. Nine of the SUD victims had a known medical history of epilepsy, seizures or other underlying neurological conditions and were therefore classified as SUDEP cases. Results: In our SIDS and SUD cohorts, we found epilepsy-related pathogenic/likely pathogenic variants in the genes OPA1, RAI1, SCN3A, SCN5A and TSC2. Conclusion: Post-mortem analysis of epilepsy-related genes identified potentially disease-causing variants that might have contributed to the sudden death events in our SIDS/SUD cases. However, the interpretation of identified variants remains challenging and often changes over time as more data is gathered. Overall, this study contributes insight in potentially pathophysiological epilepsy-related mechanisms in SIDS, SUD and SUDEP victims and underlines the importance of sensible counselling on the risk and preventive measures in genetic epilepsy.