Activity Patterns in a Model for the Subthalamopallidal Network of the Basal Ganglia

By David H. Terman, Jonathan E. Rubin, A. Yew, Charles J. Wilson. Journal of Neuroscience, 2002

713 citations recorded by the source corpus.

Based on recent experimental data, we have developed a conductance-based computational network model of the subthalamic nucleus and the external segment of the globus pallidus in the indirect pathway of the basal ganglia. Computer simulations and analysis of this model illuminate the roles of the coupling architecture of the network, and associated synaptic conductances, in modulating the activity patterns displayed by this network. Depending on the relationships of these coupling parameters, the network can support three general classes of sustained firing patterns: clustering, propagating waves, and repetitive spiking that may show little regularity or correlation. Each activity pattern can occur continuously or in discrete episodes. We characterize the mechanisms underlying these rhythms, as well as the influence of parameters on details such as spiking frequency and wave speed. These results suggest that the subthalamopallidal circuit is capable both of correlated rhythmic activity and of irregular autonomous patterns of activity that block rhythmicity. Increased striatal input to, and weakened intrapallidal inhibition within, the indirect pathway can switch the behavior of the circuit from irregular to rhythmic. This may be sufficient to explain the emergence of correlated oscillatory activity in the subthalamopallidal circuit after destruction of dopaminergic neurons in Parkinson's disease and in animal models of parkinsonism.

Subfields: Cellular and Molecular Neuroscience, Neurology

View Paper: https://www.semanticscholar.org/paper/f09b85f7caae26fce31481a3f0cef7218bd4ff5f

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Citations in the corpus

Hold your horses: A dynamic computational role for the subthalamic nucleus in decision making (2006, neutral): “Alternatively, this burst firing can occur via intracellular rebound firing mechanisms within STN itself Terman et al. (2002).”
Computational analysis of subthalamic nucleus and lenticular fasciculus activation during therapeutic deep brain stimulation. (2006, methodology): “Rat STN neurons have been extensively characterized with in vitro preparations, making it possible to construct faithful model representations with Hodgkin-Huxley type channel dynamics (Gillies and Willshaw 2006; Otsuka et al. 2004; Terman et al. 2002; Wilson et al. 2004).”
Information processing, dimensionality reduction and reinforcement learning in the basal ganglia. (2003, background): “In addition, the role of the reciprocal connections between the GPe and STN has been emphasized in recent physiological (Plenz and Kitai, 1999) and computational (Bevan et al., 2002; Terman et al., 2002) studies.”
Selective elimination of glutamatergic synapses on striatopallidal neurons in Parkinson disease models (2006, background): “But what precisely is changing? A recent modeling study indicates that altered integration of cortical and thalamic glutamatergic signals by striatopallidal neurons can trigger pathological activity in the globus pallidus and subthalamic nucleus like that which is seen in Parkinson disease patien”
High Frequency Stimulation of the Subthalamic Nucleus Eliminates Pathological Thalamic Rhythmicity in a Computational Model (2004, methodology): “Several authors have pointed out that the pattern of neuronal activity, not just the rate, may be important (Bergman et al., 1994; Nini et al., 1995; Magnin et al., 2000; Montgomery et al., 2000; Obeso et al., 2000; Raz et al., 2000; Brown et al., 2001; Terman et al., 2001, 2002).”