پروژه 24

عنوان مقاله فارسی: مدولاسیون حلقه بسته اختلالات آسیب شناختی شبکه قاعده گانگلیا

عنوان مقاله لاتین: Closed-Loop Modulation of the Pathological Disorders of the Basal Ganglia Network

نویسندگان: Chen Liu; Jiang Wang; Huiyan Li; Meili Lu; Bin Deng; Haitao Yu; Xile Wei; Chris Fietkiewicz; Kenneth A. Loparo

تعداد صفحات: 9

سال انتشار: 2017

زبان: لاتین

Abstract:

A generalized predictive closed-loop control strategy to improve the basal ganglia activity patterns in Parkinsons disease (PD) is explored in this paper. Based on system identification, an input-output model is established to reveal the relationship between external stimulation and neuronal responses. The model contributes to the implementation of the generalized predictive control (GPC) algorithm that generates the optimal stimulation waveform to modulate the activities of neuronal nuclei. By analyzing the roles of two critical control parameters within the GPC law, optimal closed-loop control that has the capability of restoring the normal relay reliability of the thalamus with the least stimulation energy expenditure can be achieved. In comparison with open-loop deep brain stimulation and traditional static control schemes, the generalized predictive closed-loop control strategy can optimize the stimulation waveform without requiring any particular knowledge of the physiological properties of the system. This type of closed-loop control strategy generates an adaptive stimulation waveform with low energy expenditure with the potential to improve the treatments for PD.