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The Movement Disorder Spectrum of ATP1A3-Related Disorders: Cross-Sectional Analysis and Video Archive of 88 Patients.

The Movement Disorder Spectrum of ATP1A3-Related Disorders: Cross-Sectional Analysis and Video Archive of 88 Patients.

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The study site has not been established. Author addresses may differ from where the research occurred.

Boston, US · Author affiliation

Movement Disorders Program, Department of Neurology & F.M. Kirby Neurobiology Center, Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Location evidence

Beijing, CN · Author affiliation

Department of Neurology, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, China.
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Barcelona, ES · Author affiliation

Pediatric Neurology Research Group, Vall d'Hebron Research Institute, Universitat Autònoma de Barcelona, Barcelona, Spain.
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Athens, GR · Author affiliation

Parkinson's Disease and Movement Disorders Department, HYGEIA Hospital, Athens, Greece.
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Calgary, CA · Author affiliation

Department of Clinical Neurosciences, University of Calgary, Calgary, Alberta, Canada.
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Norton, US · Author affiliation

Department of Pediatrics, Division of Pediatric Neurology, Norton Children's Medical Group, University of Louisville, Louisville, Kentucky, USA.
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Chicago, US · Author affiliation

Division of Neurology, Ann & Robert H. Lurie Children's Hospital of Chicago, Northwestern Feinberg School of Medicine, Chicago, Illinois, USA.
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Philadelphia, US · Author affiliation

Division of Neurology, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA.
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Lübeck, DE · Author affiliation

Department of Pediatrics, University Hospital Medical Center Schleswig-Holstein, Lübeck, Germany.
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DE · Author affiliation · country only

Department of Neurology, University Hospital of Ulm, Ulm, Germany.
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Toronto, CA · Author affiliation

Division of Neurology, Department of Pediatrics, The Hospital for Sick Children, Toronto, Ontario, Canada.
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Houston, US · Author affiliation

Human Genome Sequencing Center, Baylor College of Medicine, Houston, Texas, USA.
Location evidence

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Original abstract

BACKGROUND: ATP1A3-related disorders are characterized by genetic heterogeneity and phenotypic pleiotropy, posing significant challenges for classification. Although canonical phenotypes have traditionally guided decision-making, increasing evidence highlights their limitations in capturing the clinical complexity. OBJECTIVE: The aims of this study were to characterize movement disorders, paroxysmal features, and genotype-phenotype relationships; to build a curated video archive; and to assess alignment with canonical phenotypes. METHODS: This is an observational study of 88 individuals with pathogenic or likely pathogenic variants in ATP1A3 who were evaluated in specialized movement disorders programs. RESULTS: Age at last clinical follow-up ranged from 0.1 to 63 years; 80.7% were pediatric patients. Chronic movement disorders were present in 68 of 88 individuals (75%); most had two or more coexisting phenomenologies. Dystonia was most common (47/88, 53%), followed by spasticity (28/88, 32%) and ataxia (28/92, 32%). Paroxysmal events occurred in 78 of 88 (88%) patients, including dystonic spells (45/78, 58%), abnormal eye movements (39/78, 50%), and hemiplegic episodes (37/78, 47%). Common comorbidities included epilepsy (21/88, 24%), cognitive impairment (41/88, 47%), and neuropsychiatric disorders. Only 22 of 88 (25%) fulfilled criteria for a single canonical phenotype; 28 of 88 (32%) met canonical criteria plus additional features, 18 of 88 (20%) satisfied criteria for ≥2 canonical phenotypes, and 20 of 88 (23%) fit no canonical category. We identified 43 distinct ATP1A3 variants; recurrent variants (eg, p.Arg756His, p.Asp801Asn, p.Glu818Lys) showed variable expressivity across categories. CONCLUSIONS: The extensive clinical heterogeneity in ATP1A3-related disorders challenges rigid phenotypic classifications. The predominance of patients with overlapping or atypical features supports a shift toward flexible, symptom-based clinical approaches rather than strict reliance on canonical phenotype recognition. © 2026 International Parkinson and Movement Disorder Society.

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