Here, we use a biophysically-based model of spiking cells in the basal ganglia (Terman et al., Journal of Neuroscience, 22, 2963-2976, 2002; Rubin and Terman, Journal of Computational Neuroscience, 16, 211-235, 2004) to provide computational evidence that alternative temporal patterns of DBS inputs might be equally effective as the standard high-frequency waveforms, but require lower amplitudes. Within this model, DBS performance is assessed in two ways. First, we determine the extent to which DBS causes Gpi (globus pallidus pars interna) synaptic outputs, which are burstlike and synchronized in the unstimulated Parkinsonian state, to cease their pathological modulation of simulated thalamocortical cells. Second, we evaluate how DBS affects the GPi cells' auto- and cross-correlograms.
Model Type: Realistic Network
Region(s) or Organism(s): Basal ganglia
Cell Type(s): Globus pallidus neuron
Currents: I T low threshold; I Sodium; I Potassium
Model Concept(s): Parkinson's; Deep brain stimulation
Simulation Environment: C or C++ program
Implementer(s): Feng, Xiao-Jiang [xfeng at mahler.princeton.edu]
References:
Terman D, Rubin JE, Yew AC, Wilson CJ. (2002). Activity patterns in a model for the subthalamopallidal network of the basal ganglia. The Journal of neuroscience : the official journal of the Society for Neuroscience. 22 [PubMed]
Rubin JE, Terman D. (2004). High frequency stimulation of the subthalamic nucleus eliminates pathological thalamic rhythmicity in a computational model. Journal of computational neuroscience. 16 [PubMed]
Feng XJ, Shea-Brown E, Greenwald B, Kosut R, Rabitz H. (2007). Optimal deep brain stimulation of the subthalamic nucleus--a computational study. Journal of computational neuroscience. 23 [PubMed]