S. Karamintziou, B. Piallat, S. Chabardès, M. Polosan, O. David, G. L. Tsirogiannis, N. Deligiannis, P. Stathis, G. Tagaris, E. Boviatsis, D. Sakas, Georgia E. Polychronaki, Konstantina S. Nikita
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引用次数: 5
Abstract
We present a novel closed-loop subthalamic nucleus (STN) deep brain stimulation (DBS) scheme for Parkinson's disease (PD) and obsessive-compulsive disorder (OCD). The algorithm is designed to effectuate real-time, adaptive stimulation employing the outcome of the 0-1 test for chaos as a state-specific biomarker. In case of a null outcome, the system identifies optimal patterns of stimulation desynchronizing pathologic neuronal activity with minimal energy consumption, on grounds of a stochastic dynamical model and an appropriately formulated cost function. Simulations are performed utilizing microelectrode recordings (MERs) acquired during 8 and 2 DBS surgical interventions for PD and OCD, respectively.
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