Mean-field modeling of the basal ganglia-thalamocortical system. II. Dynamics of parkinsonian oscillations
Sacha Jennifer van Albada, Richard T. Gray, Peter M. Drysdale, Peter, A. Robinson

TL;DR
This paper uses a mean-field model of the basal ganglia-thalamocortical system to explain Parkinson's disease-related oscillations, synchrony, and EEG changes, highlighting the roles of indirect pathways and dopamine loss.
Contribution
It demonstrates how specific pathway alterations and dopamine depletion lead to characteristic oscillatory and synchrony patterns in PD within a physiologically based mean-field framework.
Findings
Oscillations at 5 and 20 Hz arise with strong indirect pathways.
Increased theta power correlates with reduced alpha power in PD.
Changes in basal ganglia responses match experimental data.
Abstract
Neuronal correlates of Parkinson's disease (PD) include a slowing of the electroencephalogram (EEG) and enhanced synchrony at 3-7 and 7-30 Hz in the basal ganglia, thalamus, and cortex. This study describes the dynamics of a physiologically based mean-field model of the basal ganglia-thalamocortical system, and shows how it accounts for key electrophysiological correlates of PD. Its connectivity comprises partially segregated direct and indirect pathways through the striatum, a hyperdirect pathway involving a corticosubthalamic projection, thalamostriatal feedback, and local inhibition in striatum and external pallidum (GPe). In a companion paper, realistic steady-state firing rates were obtained for the healthy state, and after dopamine loss modeled by weaker direct and stronger indirect pathways, reduced intrapallidal inhibition, lower firing thresholds of the GPe and subthalamic…
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