We will characterize the oscillatory network signatures of two clinically-similar hyperkinetic movement disorders, dystonia and levodopa-induced dyskinesia. We assume that in both conditions, there are similar symptom-specific network dysfunctions locally and on the network level.

The results obtained in this project from parallel local field potential recordings of the pallidum and striatum, as well as electrocorticography and magnetoencephalography recordings, will increase the understanding of dynamic basal ganglia-cortex interactions, help to identify physiomarkers of hyperkinetic states, and guide the development of adaptive deep brain stimulation algorithms specifically targeting hyperkinesia.