Study of augmented Rubin and Terman 2004 deep brain stim. model in Parkinsons (Pascual et al. 2006)

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Accession:97850
" ... The model by Rubin and Terman [31] represents one of the most comprehensive and biologically plausible models of DBS published recently. We examined the validity of the model, replicated its simulations and tested its robustness. While our simulations partially reproduced the results presented by Rubin and Terman [31], several issues were raised including the high complexity of the model in its non simplified form, the lack of robustness of the model with respect to small perturbations, the nonrealistic representation of the thalamus and the absence of time delays. Computational models are indeed necessary, but they may not be sufficient in their current forms to explain the effect of chronic electrical stimulation on the activity of the basal ganglia (BG) network in PD."
Reference:
1 . Pascual A, Modolo J, Beuter A (2006) Is a computational model useful to understand the effect of deep brain stimulation in Parkinson's disease? J Integr Neurosci 5:541-59 [PubMed]
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Model Information (Click on a link to find other models with that property)
Model Type: Realistic Network;
Brain Region(s)/Organism: Basal ganglia;
Cell Type(s): Thalamus geniculate nucleus/lateral principal neuron; Subthalamus nucleus projection neuron; Globus pallidus neuron;
Channel(s): I Na,t; I L high threshold; I T low threshold; I K; I Calcium;
Gap Junctions:
Receptor(s):
Gene(s):
Transmitter(s):
Simulation Environment: XPP;
Model Concept(s): Activity Patterns; Parkinson's; Deep brain stimulation;
Implementer(s):
Search NeuronDB for information about:  Thalamus geniculate nucleus/lateral principal neuron; I Na,t; I L high threshold; I T low threshold; I K; I Calcium;