Journal
FRONTIERS IN NEUROLOGY
Volume 12, Issue -, Pages -Publisher
FRONTIERS MEDIA SA
DOI: 10.3389/fneur.2021.669690
Keywords
Parkinson' s disease; tremor; dystonia; Gilles de la Tourette syndrome; deep brain stimulation; non-invasive brain stimulation; peripheral stimulation; machine learning
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This review showcases novel methods of neural stimulation for hyperkinetic movement disorders, focusing on both central and peripheral biomarkers and interventions. Current innovations are changing stimulation strategies by integrating technological advances and machine learning for optimization.
Novel methods of neural stimulation are transforming the management of hyperkinetic movement disorders. In this review the diversity of approach available is showcased. We first describe the most commonly used features that can be extracted from oscillatory activity of the central nervous system, and how these can be combined with an expanding range of non-invasive and invasive brain stimulation techniques. We then shift our focus to the periphery using tremor and Tourette's syndrome to illustrate the utility of peripheral biomarkers and interventions. Finally, we discuss current innovations which are changing the landscape of stimulation strategy by integrating technological advances and the use of machine learning to drive optimization.
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