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A dynamical model for the basal ganglia-thalamo-cortical oscillatory activity and its implications in Parkinson’s disease
Authors:Eva M. Navarro-Ló  pez,Utku Ç  elikok,Neslihan S. Ş  engö  r
Affiliation:1.School of Mathematics and Computer Science, Faculty of Science and Engineering, University of Wolverhampton, Alan Turing Building, Wulfruna Street, Wolverhampton, WV1 1LY UK ;2.Biomedical Engineering Department, Boğaziçi University, 34342 Beşiktaş, Istanbul Turkey ;3.Department of Electronics and Telecommunication Engineering, Istanbul Technical University, 34469 Maslak, Sariyer, Istanbul Turkey
Abstract:We propose to investigate brain electrophysiological alterations associated with Parkinson’s disease through a novel adaptive dynamical model of the network of the basal ganglia, the cortex and the thalamus. The model uniquely unifies the influence of dopamine in the regulation of the activity of all basal ganglia nuclei, the self-organised neuronal interdependent activity of basal ganglia-thalamo-cortical circuits and the generation of subcortical background oscillations. Variations in the amount of dopamine produced in the neurons of the substantia nigra pars compacta are key both in the onset of Parkinson’s disease and in the basal ganglia action selection. We model these dopamine-induced relationships, and Parkinsonian states are interpreted as spontaneous emergent behaviours associated with different rhythms of oscillatory activity patterns of the basal ganglia-thalamo-cortical network. These results are significant because: (1) the neural populations are built upon single-neuron models that have been robustly designed to have eletrophysiologically-realistic responses, and (2) our model distinctively links changes in the oscillatory activity in subcortical structures, dopamine levels in the basal ganglia and pathological synchronisation neuronal patterns compatible with Parkinsonian states, this still remains an open problem and is crucial to better understand the progression of the disease.Electronic supplementary materialThe online version of this article (10.1007/s11571-020-09653-y) contains supplementary material, which is available to authorized users.
Keywords:Basal ganglia, Brain oscillations, Computational and mathematical models, Parkinson’  s disease, Spiking neural networks, Neuroplasticity, Adaptive dynamical evolution, Self-organisation, Collective behaviour
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