title: Closed-Loop Modulation of the Pathological Disorders of the Basal Ganglia Network.
abstract: A generalized predictive closed-loop control strategy to improve the basal ganglia activity patterns in Parkinson's 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.
authors.forename: Chen
authors.initials: C
authors.lastname: Liu
authors.forename: Jiang
authors.initials: J
authors.lastname: Wang
authors.forename: Huiyan
authors.initials: H
authors.lastname: Li
authors.forename: Meili
authors.initials: M
authors.lastname: Lu
authors.forename: Bin
authors.initials: B
authors.lastname: Deng
authors.forename: Haitao
authors.initials: H
authors.lastname: Yu
authors.forename: Xile
authors.initials: X
authors.lastname: Wei
authors.forename: Chris
authors.initials: C
authors.lastname: Fietkiewicz
authors.forename: Kenneth A
authors.initials: KA
authors.lastname: Loparo
mesh_terms: D001479:Basal Ganglia / Q000473:pathology* / Q000502:physiology*; D046690:Deep Brain Stimulation / Q000379:methods; D006801:Humans; D008959:Models, Neurological; D009415:Nerve Net / Q000473:pathology / Q000502:physiology; D016571:Neural Networks, Computer; D010300:Parkinson Disease / Q000473:pathology* / Q000628:therapy