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Dystonia is a severe movement disorder involving increased muscular activity and can be very variable. To date, the treatment of dystonia is challenging. One effective therapy is deep brain stimulation (DBS), an invasive therapy, where stimulation electrodes are inserted in deep brain regions and a continuous electrical therapy is delivered via a pacemaker. However, the optimization of the therapy is a long process, up to months and there is no immediate adaptation to different disease states. This project aims to improve DBS therapy: The first aim is to learn more about electrical brain activity that could be the feedback signal for individualized therapy. Secondly, the investigators want to gather information about the long-term development of the signal and potential hints for optimal therapy locations that could be acutely used to accelerate therapy optimization. To date, recordings
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