ArticleBrain : a journal of neurology2026
Molecular and clinical spectrum of epilepsy-dyskinesia syndromes: a cross-sectional study of 609 patients.
Article in Brain : a journal of neurology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Moving in Tandem: Epilepsy-Dyskinesia Syndromes.Epilepsy currents · 2026Article
- Data-Driven Insights into Hyperkinetic Disorders in Neurodevelopmental Syndromes and Epileptic Encephalopathies.Movement disorders clinical practice · 2026Review
- Infantile Spasms Dyskinesia Syndrome: Beyond Genetic Etiologies.Indian journal of pediatrics · 2026Article
- The Movement Disorder Spectrum of ATP1A3-Related Disorders: Cross-Sectional Analysis and Video Archive of 88 Patients.Movement disorders : official journal of the Movement Disorder Society · 2026Observational
- Movement Disorders in Developmental and Epileptic Encephalopathies.Movement disorders clinical practice · 2026Review
- Epileptic-Dyskinetic Encephalopathy Associated with a PPP3CA Variant: Expansion of the Phenotypic Spectrum.Movement disorders clinical practice · 2026Article
- Video-EEG polygraphy in the clinical characterization of hyperkinetic movement disorders: a tertiary referral cohort.Frontiers in neurologyArticle
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81 authors.
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Abstract
Epilepsy-dyskinesia syndromes (EDS) are a complex group of neurogenetic disorders characterized by the co-occurrence of epilepsy and movement disorders. Despite their increasing clinical recognition, the molecular and clinical spectrum of EDS remains poorly understood. While numerous genetic aetiologies have been implicated, systematic characterization across diverse populations is lacking. This study aimed to delineate the molecular and clinical landscape of EDS in a large, multinational cohort, focusing on movement disorder phenomenologies, genotype-phenotype correlations, and treatment responses. We conducted a multicentre, cross-sectional study involving 609 patients with childhood-onset movement disorders associated with pathogenic variants in 105 predefined genes. Clinical data were collected from over 30 centres across 25 countries using a standardized survey, capturing movement disorder phenomenologies, seizure types, developmental trajectories, motor function and treatment outcomes. We classified EDS-associated genes into biologically meaningful groups by performing unsupervised clustering, which integrated protein-protein interactions and functional data. Genotype-phenotype correlations were assessed using a one-versus-remainder approach to quantify differential enrichment of clinical manifestations and treatment responses. Pathogenic variants were identified in 74 of the 105 predefined genes, with 12 genes accounting for two-thirds of cases. The most frequently reported genes were MECP2, ATP1A3, and GNAO1. Data-driven gene cluster analysis identified 12 functional groups, mapping EDS to relevant biological pathways and informing genotype-phenotype analyses. Dystonia (34.2%), stereotypies (24.6%) and ataxia (16.2%) were the most prevalent movement disorders, with gene- and pathway-specific movement disorder signatures extending beyond previously known associations. Notably, most patients exhibited mixed movement disorders, highlighting the phenotypic complexity of EDS. Epilepsy was diagnosed in only 66.8% of cases, suggesting that some EDS primarily manifest as movement disorders. Developmental trajectories varied by genetic aetiology. Pharmacological responses demonstrated gene- and pathway-specific treatment effects, confirming established therapeutic associations (e.g. PRRT2 variants responding to carbamazepine) and identifying previously unrecognized effects, such as exacerbation of motor symptoms with levodopa/carbidopa in GNAO1 and MECP2 variants. This study provides a detailed characterization of EDS, identifying distinct genetic, phenotypic and therapeutic patterns. The findings underscore the need for early recognition of movement disorders within epilepsy cohorts, offer immediate insights to improve anticipatory guidance and clinical management of EDS, and advocate for personalized treatment strategies. By laying the groundwork for longitudinal studies to refine genotype-phenotype correlations and establish a natural history, this work paves the way for interventional clinical trials and precision medicine approaches.
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