A population level computational model of the basal ganglia that generates parkinsonian local field potential activity |
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Authors: | George L Tsirogiannis George A Tagaris Damianos Sakas Konstantina S Nikita |
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Institution: | 1. Biomedical Simulations and Imaging Laboratory, School of Electrical and Computer Engineering, National Technical University of Athens, 9 Iroon Polytechneiou Street, 15773, Athens, Greece 2. Department of Neurology, “G. Gennimatas” General Hospital of Athens, 154 Mesogeion Avenue, 11527, Athens, Greece 3. Parkinson’s Disease Surgical Treatment Unit, Department of Neurosurgery, University of Athens, “Evangelismos” Hospital, 45–47 Ipsilantou Street, 10675, Athens, Greece
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Abstract: | Recordings from the basal ganglia’s subthalamic nucleus are acquired via microelectrodes immediately prior to the application
of Deep Brain Stimulation (DBS) treatment for Parkinson’s Disease (PD) to assist in the selection of the final point for the
implantation of the DBS electrode. The acquired recordings reveal a persistent characteristic beta band peak in the power
spectral density function of the Local Field Potential (LFP) signals. This peak is considered to lie at the core of the causality–effect
relationships of the parkinsonian pathophysiology. Based on LFPs acquired from human subjects during DBS for PD, we constructed
a computational model of the basal ganglia on the population level that generates LFPs to identify the critical pathophysiological
alterations that lead to the expression of the beta band peak. To this end, we used experimental data reporting that the strengths
of the synaptic connections are modified under dopamine depletion. The hypothesis that the altered dopaminergic modulation
may affect both the amplitude and the time course of the postsynaptic potentials is validated by the model. The results suggest
a pivotal role of both of these parameters to the pathophysiology of PD. |
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