IDENTIFICATION OF DATA-DRIVEN NEURAL MARKERS FOR ADAPTIVE DBS IN PARKINSON’S DISEASE
Relevant for Research Area
STUPS is a collaborative project, that addresses clinically relevant research questions related to the use of deep brain stimulation (DBS) in patients with Parkinson’s disease using technical approaches from the field of BCI and machine learning. Specifically, STUPS investigates methods that allow to extract brain signal features from local field potentials and EEG signals, which are informative about the motor state of a patient. Machine learning approaches are utilized in STUPS, as these informative features are expected to be subject-dependent and need to be extracted in a data-driven approach. The project furthermore explores the temporal dynamics revealed in the individual brain signals upon DBS. Thus STUPS will contribute important building blocks towards future fully adaptive DBS systems.
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Castaño-Candamil. et. al., “Closed-Loop Deep Brain Stimulation System for an Animal Model of Parkinson's Disease: A Pilot Study”, Proc. of the 7th Graz BCI Conf., pp. 58-63, 2017