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Cellular and network models for intrathalamic augmenting responses during 10-Hz stimulation
M Bazhenov1, I Timofeev, M Steriade
1Howard Hughes Medical Institute, The Salk Institute, Computational Neurobiology Laboratory, La Jolla, California 92037, USA.
Journal of Neurophysiology
|May 20, 1998
Summary
Computer models explain how repetitive thalamic stimulation causes responses to grow. This involves interactions between thalamocortical (TC) and thalamic reticular (RE) cells, highlighting the role of inhibitory postsynaptic potentials (IPSPs).
Area of Science:
- Neuroscience
- Computational Neuroscience
Background:
- Repetitive stimulation of the thalamus at 7-14 Hz leads to augmenting responses in the thalamus and neocortex.
- The underlying mechanisms of these thalamic augmenting responses are not fully understood.
Purpose of the Study:
- To investigate the mechanisms of thalamic augmenting responses using computer models.
- To compare model simulations with in vivo thalamic recordings.
Main Methods:
- Computer modeling of interacting thalamocortical (TC) and thalamic reticular (RE) cells using Hodgkin-Huxley kinetics.
- Simulations of single RE-TC cell pairs and reciprocally interacting RE-TC cell chains.
- Comparison of model results with in vivo thalamic recordings from decorticated cats.
Main Results:
- A single RE-TC cell pair model demonstrated augmenting responses due to RE-induced IPSPs in TC cells, leading to deinactivation of a low-threshold Ca2+ current.
- Augmenting responses in reciprocal RE-TC chains also involved gamma-aminobutyric acid-B (GABAB) IPSPs.
- Lateral GABAA inhibition between RE cells diminished GABAB IPSPs and delayed augmenting responses in TC cells.
Conclusions:
- The interplay between existing mechanisms within the thalamus, including inhibitory postsynaptic potentials (IPSPs) and specific ionic currents, sufficiently explains intrathalamic augmenting responses.
- Computational models provide valuable insights into the complex dynamics of thalamocortical circuitry.