Mathematical model of subthalamic nucleus neuron: characteristic activity patterns and bifurcation analysis
Choongseok Park, Leonid L. Rubchinsky, Sungwoo Ahn

TL;DR
This study presents a conductance-based model of STN neurons, revealing how specific ionic currents contribute to activity patterns and their potential role in Parkinson's disease pathophysiology.
Contribution
The paper introduces a detailed biophysical model of STN neurons and uses bifurcation analysis to elucidate the roles of calcium and HCN currents in rhythm generation.
Findings
HCN current promotes single-spike activity
CaT current is essential for bursting patterns
CaL current reinforces and extends bursts
Abstract
The subthalamic nucleus (STN) has an important role in the pathophysiology of the basal ganglia in Parkinson's disease. The ability of STN cells to generate bursting rhythms under either transient or sustained hyperpolarization may underlie the excessively synchronous beta rhythms observed in Parkinson's disease. In this study, we developed a conductance-based single compartment model of an STN neuron, which is able to generate characteristic activity patterns observed in experiments including hyperpolarization-induced bursts and post-inhibitory rebound bursts. This study focused on the role of three currents in rhythm generation: T-type calcium (CaT) current, L-type calcium (CaL) current, and hyperpolarization-activated cyclic nucleotide-gated (HCN) current. To investigate the effects of these currents in rhythm generation, we performed a bifurcation analysis using slow variables in…
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