A model for altered neural network dynamics related to prehension movements in Parkinson disease

J. Molina-Vilaplana, J. L. Contreras-Vidal, M. T. Herrero-Ezquerro, J. Lopez-Coronado

    Research output: Contribution to journalArticlepeer-review

    3 Scopus citations

    Abstract

    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.

    Original languageEnglish (US)
    Pages (from-to)271-287
    Number of pages17
    JournalBiological Cybernetics
    Volume100
    Issue number4
    DOIs
    StatePublished - Apr 2009

    Keywords

    • Basal ganglia
    • Neural models
    • Parkinson disease
    • Prehension movements

    ASJC Scopus subject areas

    • Biotechnology
    • General Computer Science

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