A model for altered neural network dynamics related to prehension movements in Parkinson disease.
In this paper, we present a neural network model of the interactions between cortex and the basal ganglia during prehensile movements. Computational neuroscience methods are used to explore the hypothesis that the altered kinematic patterns observed in Parkinson's disease patients performing prehensile movements is mainly due to an altered neuronal activity located in the networks of cholinergic (ACh) interneurons of the striatum. These striatal cells, under a strong influence of the dopaminergic system, significantly contribute to the neural processing within the striatum and in the cortico-basal ganglia loops. In order to test this hypothesis, a large-scale model of neural interactions in the basal ganglia has been integrated with previous models accounting for the cortical organization of goal directed reaching and grasping movements in normal and perturbed conditions. We carry out a discussion of the model hypothesis validation by providing a control engineering analysis and by comparing results of real experiments with our simulation results in conditions resembling these original experiments.
Molina-Vilaplana
J
J
Department of Systems Engineering and Automation, Technical University of Cartagena, Murcia, Spain. Javi.Molina@upct.es
Contreras-Vidal
J L
JL
Herrero-Ezquerro
M T
MT
Lopez-Coronado
J
J
D001479:Basal Ganglia / Q000502:physiology*; D006801:Humans; D008959:Models, Neurological; D008962:Models, Theoretical; D009068:Movement / Q000502:physiology*; D016571:Neural Networks, Computer; D010300:Parkinson Disease / Q000503:physiopathology*