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Journal of Computational Neuroscience

, Volume 20, Issue 3, pp 299–320 | Cite as

A computational model of how an interaction between the thalamocortical and thalamic reticular neurons transforms the low-frequency oscillations of the globus pallidus

  • Arash Hadipour-NiktarashEmail author
Article

Abstract

In Parkinson’s disease, neurons of the internal segment of the globus pallidus (GPi) display the low-frequency tremor-related oscillations. These oscillatory activities are transmitted to the thalamic relay nuclei. Computer models of the interacting thalamocortical (TC) and thalamic reticular (RE) neurons were used to explore how the TC-RE network processes the low-frequency oscillations of the GPi neurons. The simulation results show that, by an interaction between the TC and RE neurons, the TC-RE network transforms a low-frequency oscillatory activity of the GPi neurons to a higher frequency of oscillatory activity of the TC neurons (the superharmonic frequency transformation). In addition to the interaction between the TC and RE neurons, the low-threshold calcium current in the RE and TC neurons and the hyperpolarization-activated cation current (I h) in the TC neurons have significant roles in the superharmonic frequency transformation property of the TC-RE network. The external globus pallidus (GPe) oscillatory activity, which is directly transmitted to the RE nucleus also displays a significant modulatory effect on the superharmonic frequency transformation property of the TC-RE network.

Keywords

Thalamus Basal ganglia Globus pallidus Oscillations Computational models Frequency transformation Parkinson’s disease 

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© Springer Science + Business Media, LLC 2006

Authors and Affiliations

  1. 1.Department of Biomedical Engineering, Laboratory for Computational Motor ControlJohns Hopkins School of MedicineBaltimoreUSA
  2. 2.Institute for Studies in Theoretical Physics and Mathematics (IPM)School of Cognitive SciencesTehranIran

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