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Publications

An 18-fluorodeoxyglucose-PET study in SGCE positive and negative myoclonus-dystonia

Hand-Specific Engagement of Cerebello–Thalamo–Cortical and Higher-Order Sensorimotor Networks in Essential Tremor: Converging Evidence From GLM and MVPA-Based fMRI Analysis

Machine learning based EMG analysis of intermuscular coherence and cumulant density in tremor and myoclonus

The cholinergic system is involved in cervical dystonia - An [18F]FEOBV PET study

Changes in glucose metabolism in essential tremor: Within and beyond the cerebello-thalamo-cortical circuit

Explainable machine learning for movement disorders - Classification of tremor and myoclonus

Hyperkinetic movement disorder analysis using multidimensional projections

Interpretable machine learning for the diagnosis of hyperkinetic movement disorders

Multivariate Pattern Analysis of fMRI Reveals Striato-Cortical Network Changes in Myoclonus-Dystonia

Next move in movement disorders (NEMO): the best clinical tasks for the visibility of essential tremor, dystonia, cortical myoclonus and myoclonus-dystonia

Sustainable Development Goals

SDG 3 - Good Health and Well-beingSDG 9 - Industry, Innovation, and InfrastructureSDG 10 - Reduced Inequalities

More information about the Sustainable Development Goals.