Investigating Different Targets in Deep Brain Stimulation on Parkinson's Disease Using a Mean-Field Model of the Basal Ganglia-Thalamocortical System

Abstract

In this paper, we investigated effects of deep brain stimulation (DBS) on Parkinson's disease (PD) when different target sites in the basal ganglia are stimulated. The targets which are investigated are subthalamic nucleus (STN), globus pallidus interna (GPi), and globus pallidus externa (GPe). For this purpose we used a computational model of the basal ganglia-thalamocortical system (BGTCS) with parameters calculated for mean field. This model is able to reproduce both the normal and Parkinsonian activities of basal ganglia, thalamus and cortex in a unified structure. In the present study, we used a mean-field model of the BGTCS, allowing a more complete framework to simulate DBS and to interpret its effects in the BGTCS. Our results suggest that DBS in the STN and GPe could restore the thalamus relay activity, while DBS in the GPi could inhibit it. Our results are compatible with the experimental and the clinical outcomes about the effects of DBS of different targets.

Dynamics of a Large-Scale Spiking Neural Network with Quadratic Integrate-and-Fire Neurons

“…The decision-making process depended on the system tending towards one of the attractors for the two alternative choices separated by an unstable saddle in the decision space. Besides, different networks in visual processing [13][14][15][16], neural disease [17][18][19], and movement [20] have also been researched by mean-field dynamics.…”