Movement disorders : official journal of the Movement Disorder Society · 2026
The Brain-Age Gap in Pediatric Dystonia: Neuroanatomical Deviations Inform Deep Brain Stimulation Outcomes.
СтатьяНазвание и аннотация: Перевод в очереди
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Latypov Timur H, Berger Alexandre, Mohareb Manuela, Mithani Karim, Breitbart Sara, Vogt Lindsey M, Dinger Thiemo, Meijer Inge, Weil Alexander G, Fasano Alfonso, Gorodetsky Carolina, Ibrahim George M
Аннотация
BACKGROUND: Dystonia in children is a heterogeneous condition with variable response to deep brain stimulation (DBS). Brain-age gap, a machine learning-derived metric of structural deviation from norm, may capture signatures that differentiate underlying biotypes and predict outcomes.
METHODS: A brain age model was trained on several thousand normative developmental trajectories (n = 2623). Brain-age gap (the difference between predicted and chronological age) was computed from pre-DBS T1-weighted magnetic resonance imaging in 37 children with dystonia and compared to matched healthy controls. Associations with etiology, Burke-Fahn-Marsden Dystonia Rating Scale (BFMDRS) and Pediatric Quality-of-Life (PedsQL) scores were examined.
RESULTS: Children with dystonia showed a greater brain-age gap (structural deviation) compared to controls (P < 0.001). Greater gap was linked to worse baseline motor scores and poorer 1-year quality-of-life improvement. Patterns differed by etiology, with distinct regional deviations in genetic and acquired dystonia.
CONCLUSION: Brain-age modeling reveals biologically distinct subtypes of pediatric dystonia and may offer a biomarker for stratification and outcome prediction. © 2026 The Author(s). Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.
METHODS: A brain age model was trained on several thousand normative developmental trajectories (n = 2623). Brain-age gap (the difference between predicted and chronological age) was computed from pre-DBS T1-weighted magnetic resonance imaging in 37 children with dystonia and compared to matched healthy controls. Associations with etiology, Burke-Fahn-Marsden Dystonia Rating Scale (BFMDRS) and Pediatric Quality-of-Life (PedsQL) scores were examined.
RESULTS: Children with dystonia showed a greater brain-age gap (structural deviation) compared to controls (P < 0.001). Greater gap was linked to worse baseline motor scores and poorer 1-year quality-of-life improvement. Patterns differed by etiology, with distinct regional deviations in genetic and acquired dystonia.
CONCLUSION: Brain-age modeling reveals biologically distinct subtypes of pediatric dystonia and may offer a biomarker for stratification and outcome prediction. © 2026 The Author(s). Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.