GNAO1-related neurodevelopmental disorder: Literature review and caregiver survey.

Background: GNAO1-related neurodevelopmental disorder is a heterogeneous condition characterized by hypotonia, developmental delay, epilepsy, and movement disorder. This study aims to better understand the spectrum of epilepsy associated with GNAO1 variants and experience with anti-seizure medications, and to review published epilepsy phenotypes in GNAO1. Methods: An online survey was distributed to caregivers of individuals diagnosed with GNAO1 pathogenic variants, and a literature review was conducted. Results: Fifteen respondents completed the survey with the median age of 39 months, including a novel variant p.Q52P. Nine had epilepsy - six had onset in the first week of life, three in the first year of life - but two reported no ongoing seizures. Seizure types varied. Individuals were taking a median of 3 seizure medications without a single best treatment. Our cohort was compared to a literature review of epilepsy in GNAO1. In 86 cases, 38 discrete variants were described; epilepsy is reported in 53 % cases, and a developmental and epileptic encephalopathy in 36 %. Conclusions: While GNAO1-related epilepsy is most often early-onset and severe, seizures may not always be drug resistant or lifelong. Experience with anti-seizure medications is varied. Certain variant "hotspots" may correlate with epilepsy phenotype though genotype-phenotype correlation is poorly understood.

Epilepsy and proxy-reported health-related quality of life in children and young people with non-ambulatory cerebral palsy.

AIM: To assess the association between epilepsy characteristics and proxy-reported health-related quality of life (HRQoL) in children and young people with non-ambulatory cerebral palsy (CP) and seizures. METHOD: This was a cross-sectional study of 164 children and young people (74 females, 90 males; mean age 10 years 6 months, range 2-21 years, SD 5 years 5 months). Caregivers completed the Child Health Index of Life with Disabilities (CPCHILD) in an outpatient setting. We utilized univariable linear regression and multivariable modeling to study relationships between variables and CPCHILD scores. RESULTS: Gross Motor Function Classification System levels were 37% IV and 63% V. Sociodemographic factors included the Child Opportunity Index (median 51, interquartile range [IQR] 25-80). A median of 2 (IQR 1-3) antiseizure medications (ASMs) were used, and days with seizures ranged from 0 (30%) to 28 (20%) days in the previous 4 weeks. Total CPCHILD scores decreased 2.3 points for each ASM (95% confidence interval [CI] -4.1 to -0.42). Compared to persons with focal epilepsy, those with generalized epilepsy had lower total CPCHILD scores (-5.7; 95% CI -11 to -0.55). Number of days with seizures was not associated with total CPCHILD scores. INTERPRETATION: Proxy-reported HRQoL was affected by epilepsy-specific features in children and young people with severe CP. WHAT THIS PAPER ADDS: Health-related quality of life (HRQoL) was lower with increasing numbers of antiseizure medications. Overall quality of life (QoL) scores were lower by a similar amount, independent of seizure frequency. HRQoL was lower in persons with recent hospital admissions for epilepsy.

Pediatric Epilepsy Learning Healthcare System Quality of Life (PELHS-QOL-2): A novel health-related quality of life prompt for children with epilepsy.

OBJECTIVE: Pediatric epilepsy is often associated with diminished health-related quality of life (HRQOL). Our aim was to establish the validity of the Pediatric Epilepsy Learning Healthcare System Quality of Life (PELHS-QOL-2) questions, a novel two-item HRQOL prompt for children with epilepsy, primarily for use in clinical care. METHODS: We performed a multicenter cross-sectional study to validate the PELHS-QOL-2. Construct validity was established through bivariate comparisons with four comparator measures and known drivers of quality of life in children with epilepsy, as well as by creating an a priori multivariable model to predict the Quality of Life in Childhood Epilepsy Questionnaire (QOLCE-55). Validity generalization was established through bivariate comparisons with demographic and clinical information. Content validity and clinical utility were established by assessing how well the PELHS-QOL-2 met eight design criteria for an HRQOL prompt established by a multistakeholder group of experts. RESULTS: The final participant sample included 154 English-speaking caregivers of children with epilepsy (mean age = 9.7 years, range = .5-18, 49% female, 70% White). The PELHS-QOL-2 correlated with the four comparator instruments (ρ = .44-.56), was significantly associated with several known drivers of quality of life in children with epilepsy (p < .05), and predicted QOLCE-55 scores in the multivariate model (adjusted R2 = .54). The PELHS-QOL-2 item was not associated with the age, sex, and ethnicity of the children nor with the setting and location of data collection, although PELHS-QOL-Medications was significantly associated with race (worse for White race). Following both quantitative and qualitative analysis, the PELHS-QOL-2 met seven of eight design criteria. SIGNIFICANCE: The PELHS-QOL-2 is a valid HRQOL prompt and is well suited for use in clinical care as a mechanism to routinely initiate conversations with caregivers about quality of life in children with epilepsy. The association of PELHS-QOL-Medications with race merits further study.

Results of the First GNAO1-Related Neurodevelopmental Disorders Caregiver Survey.

BACKGROUND: We sought to expand our knowledge of the clinical spectrum of GNAO1-related neurodevelopmental disorders through a caregiver survey reviewing medical and developmental history and development of epilepsy and movement disorders. METHODS: An online survey was administered to caregivers of individuals diagnosed with GNAO1 pathogenic variants. RESULTS: Eighty-two surveys were completed. Nearly all (99%) reported the first symptom of concern by age one year with the most frequently identified concerns as hypotonia (68%), developmental delay (67%), seizures (29%), difficulty feeding (23%), and abnormal movements (20%). All caregivers reported developmental delays with a spectrum of severity. Movement disorders (76%) were more common than epilepsy (52%), although 33% reported both. The onset of seizures tended to be earlier than abnormal movements. Nearly half (48%) of those with any seizures, reported they were no longer having recurrent seizures. No single most effective medication for movement disorders or epilepsy was noted. Ten participants have had deep brain stimulator for their movement disorder, and all indicated positive effects. CONCLUSIONS: GNAO1-related neurodevelopmental disorders most often present within the first year of life with nonspecific symptoms of hypotonia or developmental delay. Although associated epilepsy and movement disorders can be severe, GNAO1-associated epilepsy may not always be medically refractory or lifelong.

Design and implementation of electronic health record common data elements for pediatric epilepsy: Foundations for a learning health care system.

OBJECTIVE: Common data elements (CDEs) are standardized questions and answer choices that allow aggregation, analysis, and comparison of observations from multiple sources. Clinical CDEs are foundational for learning health care systems, a data-driven approach to health care focused on continuous improvement of outcomes. We aimed to create clinical CDEs for pediatric epilepsy. METHODS: A multiple stakeholder group (clinicians, researchers, parents, caregivers, advocates, and electronic health record [EHR] vendors) developed clinical CDEs for routine care of children with epilepsy. Initial drafts drew from clinical epilepsy note templates, CDEs created for clinical research, items in existing registries, consensus documents and guidelines, quality metrics, and outcomes needed for demonstration projects. The CDEs were refined through discussion and field testing. We describe the development process, rationale for CDE selection, findings from piloting, and the CDEs themselves. We also describe early implementation, including experience with EHR systems and compatibility with the International League Against Epilepsy classification of seizure types. RESULTS: Common data elements were drafted in August 2017 and finalized in January 2020. Prioritized outcomes included seizure control, seizure freedom, American Academy of Neurology quality measures, presence of common comorbidities, and quality of life. The CDEs were piloted at 224 visits at 10 centers. The final CDEs included 36 questions in nine sections (number of questions): diagnosis (1), seizure frequency (9), quality of life (2), epilepsy history (6), etiology (8), comorbidities (2), treatment (2), process measures (5), and longitudinal history notes (1). Seizures are categorized as generalized tonic-clonic (regardless of onset), motor, nonmotor, and epileptic spasms. Focality is collected as epilepsy type rather than seizure type. Seizure frequency is measured in nine levels (all used during piloting). The CDEs were implemented in three vendor systems. Early clinical adoption included 1294 encounters at one center. SIGNIFICANCE: We created, piloted, refined, finalized, and implemented a novel set of clinical CDEs for pediatric epilepsy.

COVID-19 in Patients With Seizures and Epilepsy: Interpretation of Relevant Knowledge of Presenting Signs and Symptoms.

There are an increasing number of clinical studies for COVID-19, with several large cohort studies documenting initial signs and symptoms. Realizing the need for current information, this summary provides a focused summary of pertinent clinical diagnostic information about neurological involvement of SARS-CoV-2 virus and clinical presentation of COVID-19, especially in relationship to patients with seizures and epilepsy. There is no evidence from cohort studies in the general population that seizures are worsened in COVID-19. However, relative lack of cohort studies in patients with a history of epileptic seizures limit conclusions about effects of COVID-19 patients with epilepsy. Overall, findings indicate seizures and epilepsy are rare, especially in mild COVID-19 cases, but may occur in more severe cases later in the disease course. Caregivers should be vigilant in assessing for possible seizures, especially in patients with systemic effects of severe COVID-19 infections.

Spectrum of neurodevelopmental disease associated with the GNAO1 guanosine triphosphate-binding region.

OBJECTIVE: To characterize the phenotypic spectrum associated with GNAO1 variants and establish genotype-protein structure-phenotype relationships. METHODS: We evaluated the phenotypes of 14 patients with GNAO1 variants, analyzed their variants for potential pathogenicity, and mapped them, along with those in the literature, on a three-dimensional structural protein model. RESULTS: The 14 patients in our cohort, including one sibling pair, had 13 distinct, heterozygous GNAO1 variants classified as pathogenic or likely pathogenic. We attributed the same variant in two siblings to parental mosaicism. Patients initially presented with seizures beginning in the first 3 months of life (8/14), developmental delay (4/14), hypotonia (1/14), or movement disorder (1/14). All patients had hypotonia and developmental delay ranging from mild to severe. Nine had epilepsy, and nine had movement disorders, including dystonia, ataxia, chorea, and dyskinesia. The 13 GNAO1 variants in our patients are predicted to result in amino acid substitutions or deletions in the GNAO1 guanosine triphosphate (GTP)-binding region, analogous to those in previous publications. Patients with variants affecting amino acids 207-221 had only movement disorder and hypotonia. Patients with variants affecting the C-terminal region had the mildest phenotypes. SIGNIFICANCE: GNAO1 encephalopathy most frequently presents with seizures beginning in the first 3 months of life. Concurrent movement disorders are also a prominent feature in the spectrum of GNAO1 encephalopathy. All variants affected the GTP-binding domain of GNAO1, highlighting the importance of this region for G-protein signaling and neurodevelopment.

Non-invasive Seizure Localization with Ictal Single-Photon Emission Computed Tomography is Impacted by Preictal/Early Ictal Network Dynamics.

OBJECTIVE: More than one third of children with epilepsy have medically intractable seizures. Promising therapies, including targeted neurostimulation and surgery, depend on accurate localization of the epileptogenic zone. Ictal perfusion Single-Photon Emission Computed Tomography (SPECT) can localize the seizure focus noninvasively, with comparable accuracy to that of invasive EEG. However, multiple factors including seizure dynamics may affect its spatial specificity. METHODS: Using subtracted ictal from interictal SPECT and scalp EEG from 118 pediatric epilepsy patients (40 of whom had surgery after the SPECT studies), information theoretic measures of association and advanced statistical models, this study investigated the impact of preictal and ictal brain network dynamics on SPECT focality. RESULTS: Network dynamics significantly impacted the SPECT localization ~30 s before to ~45 s following ictal onset. Distributed early ictal connectivity changes, indicative of a rapidly evolving seizure, were negatively associated with SPECT focality. Spatially localized connectivity changes later in the seizure, indicating slower seizure propagation, were positively associated with SPECT focality. In the first ~60 s of the seizure, significantly higher network connectivity was estimated in an area overlapping with the area of hyperperfusion. Finally, ~75% of patients with Engel class 1a/1b outcomes had SPECTs that were concordant with the resected area. CONCLUSION: Slowly evolving seizures are more likely to be accurately imaged with SPECT, and the identified focus may overlap with brain regions where significant topological changes occur. SIGNIFICANCE: Measures of preictal/early ictal network dynamics may help optimize the SPECT localization, leading to improved surgical and neurostimulation outcomes in refractory epilepsy.

The ClinGen Epilepsy Gene Curation Expert Panel-Bridging the divide between clinical domain knowledge and formal gene curation criteria.

The field of epilepsy genetics is advancing rapidly and epilepsy is emerging as a frequent indication for diagnostic genetic testing. Within the larger ClinGen framework, the ClinGen Epilepsy Gene Curation Expert Panel is tasked with connecting two increasingly separate fields: the domain of traditional clinical epileptology, with its own established language and classification criteria, and the rapidly evolving area of diagnostic genetic testing that adheres to formal criteria for gene and variant curation. We identify critical components unique to the epilepsy gene curation effort, including: (a) precise phenotype definitions within existing disease and phenotype ontologies; (b) consideration of when epilepsy should be curated as a distinct disease entity; (c) strategies for gene selection; and (d) emerging rules for evaluating functional models for seizure disorders. Given that de novo variants play a prominent role in many of the epilepsies, sufficient genetic evidence is often awarded early in the curation process. Therefore, the emphasis of gene curation is frequently shifted toward an iterative precuration process to better capture phenotypic associations. We demonstrate that within the spectrum of neurodevelopmental disorders, gene curation for epilepsy-associated genes is feasible and suggest epilepsy-specific conventions, laying the groundwork for a curation process of all major epilepsy-associated genes.

Neonatal epilepsy genetics.

Neonatal epilepsy genetics is a rapidly expanding field with recent technological advances in genomics leading to an expanding list of genetic disorders associated with neonatal-onset epilepsy. The genetic causes of neonatal epilepsy can be grouped into the following categories: (i) malformations of cortical development, (ii) genetic-metabolic, (iii) genetic-vascular, (iv) genetic-syndromic, and (v) genetic-cellular. Clinically, epilepsy in the neonate shows phenotypic overlap with pathogenic variants in unrelated genes causing similar clinical presentation (locus heterogeneity) and variants in the same gene leading to a wide clinical spectrum ranging from benign familial neonatal seizures to more severe epileptic encephalopathies (variable expressivity). We suggest a diagnostic approach to obtaining a genetic diagnosis with emphasis on clinical features such as electro-clinical phenotype and magnetic resonance imaging findings. Rapid identification of genetic disorders with targeted treatments should be a clinical priority. Achieving a genetic diagnosis can be challenging in a rapidly changing genetic landscape, but is increasingly possible.