Basal ganglia-thalamic network model for deep brain stimulation (So et al. 2011)

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This is a model of the basal ganglia-thalamic network, modified from the Rubin and Terman model (High frequency stimulation of the Subthalamic Nucleus, Rubin and Terman 2004). We subsequently used this model to investigate the effectiveness of STN and GPi DBS as well as lesion when various proportions of local cells and fibers of passage were activated or silenced. The BG network exhibited characteristics consistent with published experimental data, both on the level of single cells and on the network level. Perhaps most notably, and in contrast to the original RT model, the changes in the thalamic error index with changes in the DBS frequency matched well the changes in clinical symptoms with changes in DBS frequency.
1 . So RQ, Kent AR, Grill WM (2011) Relative contributions of local cell and passing fiber activation and silencing to changes in thalamic fidelity during deep brain stimulation and lesioning: a computational modeling study. J Comput Neurosci [PubMed]
Model Information (Click on a link to find other models with that property)
Model Type: Realistic Network; Neuron or other electrically excitable cell;
Brain Region(s)/Organism:
Cell Type(s): Thalamus geniculate nucleus (lateral) principal neuron; Subthalamus nucleus projection neuron; Globus pallidus neuron;
Channel(s): I Na,t; I T low threshold; I K; I K,Ca; I Calcium; I Cl, leak;
Gap Junctions:
Simulation Environment: MATLAB;
Model Concept(s): Activity Patterns; Bursting; Parkinson's; Deep brain stimulation;
Implementer(s): So, Rosa ;
Search NeuronDB for information about:  Thalamus geniculate nucleus (lateral) principal neuron; I Na,t; I T low threshold; I K; I K,Ca; I Calcium; I Cl, leak;
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