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This study analyzed brain activity patterns in 30 children with dystonia (ages 5-20) using recordings from deep brain stimulation devices implanted in the globus pallidus internus. The researchers found that specific brain wave patterns, particularly delta and low-gamma oscillations, as well as synchronization between brain hemispheres, correlated with dystonia severity regardless of whether the condition was genetic or acquired. Low-gamma activity was lower in acquired versus genetic dystonia, though this may relate to overall severity differences.
Why it matters
These neurophysiological markers could potentially help clinicians objectively monitor disease severity and treatment response in pediatric dystonia patients with deep brain stimulation devices. The findings also advance understanding of how dystonia affects the developing brain, which has been understudied compared to adult populations.
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⚠️ Preprint – Noch nicht peer-reviewed
Dieser Artikel wurde noch nicht von unabhängigen Experten begutachtet. Die Ergebnisse sind vorläufig und sollten mit Vorsicht interpretiert werden.
Background: Aberrant basal ganglia activity is a key feature of the pathophysiology of dystonia, but evidence is predominantly based on adult cohorts. Neurophysiological signatures during development remain poorly characterised. Local field potentials (LFPs) recorded by bidirectional neurostimulators provide a direct measure of globus pallidus internus (GPi) activity. In a cross-sectional paediatric cohort, we investigated whether pallidal oscillatory, aperiodic and connectivity characteristics are associated with dystonia severity and whether these differ between genetic and acquired dystonias. Methods: We recruited 30 children and young adults (5-20 years) with medically refractory dystonia (genetic n = 10; acquired n = 20) who underwent bilateral GPi Deep Brain Stimulation (DBS) implantation. Ten minutes of pallidal LFPs were recorded using Medtronic Percept RC neurostimulators with stimulation off, before DBS activation and, where available, at 12 months. Spectral power, aperiodic exponent and interhemispheric pallidopallidal coherence were quantified across delta (1-4 Hz), theta (4-8 Hz), alpha (8-13 Hz), beta (13-30 Hz), and low-gamma (30-45 Hz) frequency bands. Linear mixed-effects models were implemented to establish whether LFP markers were predictive of dystonia severity, as measured by the Burke-Fahn-Marsden Dystonia Rating Scale (BFMDRS-Movement). Firths Bias-Reduced Logistic Regression assessed whether LFP markers were predictive of dystonia aetiology. Results: Spectral peaks were most consistently detected in the delta, beta, and low-gamma bands. Delta and low-gamma peak power significantly predicted dystonia severity. This association was independent of medication burden, structural GPi involvement, and dystonia aetiology. Theta and alpha peaks were detected less consistently, and their power was not associated with dystonia severity. Pallidopallidal coherence significantly predicted dystonia severity in interaction with medication load in all frequency bands. Low-gamma peak power was significantly lower in acquired than genetic dystonia, but the potentially confounding influence of dystonia severity could not be excluded. The aperiodic exponent was not associated with severity or aetiology. Conclusion: Pallidal LFP markers are associated with dystonia severity in children, with delta peak power, low-gamma peak power and pallidopallidal coherence reflecting clinically relevant features of disease expression. These findings highlight the potential of pallidal LFPs to characterise dystonia across the lifespan and motivate longitudinal studies of their developmental and clinical trajectories.
Source: Pallidal Local Field Potentials markers of dystonia aetiology and severity in children