Basal ganglia-thalamic network model for deep brain stimulation (So et al. 2012)


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.

Model Type: Realistic Network; Neuron or other electrically excitable cell

Cell Type(s): Thalamus geniculate nucleus/lateral principal GLU cell; Subthalamus nucleus projection neuron; Globus pallidus neuron

Currents: I Na,t; I T low threshold; I K; I K,Ca; I Calcium; I Cl, leak

Model Concept(s): Activity Patterns; Bursting; Parkinson's; Deep brain stimulation

Simulation Environment: MATLAB

Implementer(s): So, Rosa

References:

So RQ, Kent AR, Grill WM. (2012). 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 32 [PubMed]