Deep brain stimulation is an established therapy for patients with severe movement disorders. Over the last decades invasive recordings from the human basal ganglia were used to characterize disease pattern and symptom specific neuronal signatures as biomarkers for PD and dystonia. This has helped to further elucidate the underlying pathophysiology of these network disorders. Recently, new technological advances in deep brain stimulation devices allow to chronically record neuronal activity from the target structures. Neuronal activity can be used as a feedback signal to inform DBS for closed loop stimulation. I will give an overview on what we have learnt from invasive recordings for movement disorders and how we can use neuronal signatures to inform parameter selection and timing of stimulation in order to better adapt DBS treatment to the individual symptoms in each patient in the future.
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