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Computational models of thalamocortical augmenting responses

M Bazhenov1, I Timofeev, M Steriade

  • 1Howard Hughes Medical Institute, The Salk Institute, Computational Neurobiology Laboratory, La Jolla, California 92037, USA.

The Journal of Neuroscience : the Official Journal of the Society for Neuroscience
|August 11, 1998
PubMed
Summary

Repetitive thalamic stimulation causes cortical augmenting responses through intrinsic thalamic cell properties. Computer models and cat studies confirm thalamocortical cell deinactivation drives these neural network responses.

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Area of Science:

  • Neuroscience
  • Computational Neuroscience

Background:

  • Cortical augmenting responses, characterized by increasing spike frequency during repetitive stimulation, are a key feature of neural network dynamics.
  • The underlying mechanisms of these responses, particularly the interplay between thalamic and cortical circuits, remain incompletely understood.

Purpose of the Study:

  • To investigate the mechanisms of cortical augmenting responses induced by repetitive dorsal thalamus stimulation.
  • To analyze the roles of thalamocortical cells, inhibitory interneurons, and corticothalamocortical loops in generating these responses.

Main Methods:

  • Development of a computational model simulating thalamocortical and cortical neuronal populations.
  • Analysis of model responses to repetitive thalamic and cortical stimulation.

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  • Comparison of model predictions with in vivo electrophysiological recordings from anesthetized cats.

    • Main Results:

    • The model demonstrated that low-threshold intrathalamic augmentation, driven by deinactivation of the low-threshold Ca2+ current in thalamocortical cells, underlies cortical augmenting responses.
    • Augmenting responses were more pronounced in cortical "input" layers than "output" layers.
    • Corticothalamocortical loops facilitated augmenting responses in distant cortical areas, with thalamic stimulation proving more effective than cortical stimulation.
    • Intracortical inhibition significantly influenced augmenting response genesis, with a shift towards excitation leading to paroxysmal discharges.

    Conclusions:

    • Intrinsic properties of thalamic cells and thalamocortical interconnections are sufficient to explain the fundamental characteristics of cortical augmenting responses.
    • The computational model provides a framework for understanding the dynamic interactions within thalamocortical systems.
    • The balance between excitation and inhibition within the cortex is critical for shaping neuronal responses to repetitive stimulation.