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Previous studies indicate that the effectiveness of deep brain stimulation (DBS) is dependent on the stimulus parameters and the purpose of this study is to examine the effects of DBS amplitude on the basal-ganglia-thalamo-cortical (BG-TC) network activity through a computational model. Our results indicate that the relation between DBS amplitudes and TC relay reliability is nonmonotonic, effective...
Although the beneficial effects of chronic deep brain stimulation on Parkinson’s disease motor symptoms are now largely confirmed, the underlying mechanisms behind deep brain stimulation remain unclear and under debate. Hence, the selection of stimulation parameters is full of challenges. Additionally, due to the complexity of neural system, together with omnipresent noises, the accurate model of...
As a new method on curing mental diseases, Deep Brain Stimulation (DBS) gives great help to patients who do not respond to drug therapies. However, most of the DBS therapies used at present are using high-frequency signals as open-loop stimulating signals, whose mechanism is not sufficiently understood. In this paper, basing on the synchronization mechanism and the close-loop stability theory, we...
This paper proposes a particle swarm optimization (PSO) to identify the optimal parameter set of periodic deep brain stimulation (DBS) waveforms. A computational model characterizing Parkinson's disease (PD) is introduced. In Parkinsonian state, the firing of globus pallidus in pars interna (GPi) is burstlike and synchronized. If DBS current is applied, the tonic rhythm output of GPi could restore...
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