" ... We developed a biophysical network model comprising of the closed loop cortical-basal ganglia-thalamus circuit representing the healthy and parkinsonian rat brain. The network properties of the model were validated by comparing responses evoked in basal ganglia (BG) nuclei by cortical (CTX) stimulation to published experimental results. A key emergent property of the model was generation of low-frequency network oscillations. Consistent with their putative pathological role, low-frequency oscillations in model BG neurons were exaggerated in the parkinsonian state compared to the healthy condition. ..."
Model Type: Realistic Network
Region(s) or Organism(s): Basal ganglia; Thalamus; Neocortex; Subthalamic Nucleus
Cell Type(s): Hodgkin-Huxley neuron; Abstract Izhikevich neuron
Currents: I K; I Calcium; I Sodium; I L high threshold; I T low threshold; I_AHP
Model Concept(s): Deep brain stimulation; Parkinson's; Activity Patterns; Oscillations
Simulation Environment: MATLAB
Implementer(s): Kumaravelu, Karthik [kk192 at duke.edu]
References:
Kumaravelu K, Brocker DT, Grill WM. (2016). A biophysical model of the cortex-basal ganglia-thalamus network in the 6-OHDA lesioned rat model of Parkinson's disease. Journal of computational neuroscience. 40 [PubMed]