Literature DB >> 9045080

Control of slow oscillations in the thalamocortical neuron: a computer model.

W W Lytton1, A Destexhe, T J Sejnowski.   

Abstract

We investigated computer models of a single thalamocortical neuron to assess the interaction of intrinsic voltage-sensitive channels and cortical synaptic input in producing the range of oscillation frequencies observed in these cells in vivo. A morphologically detailed model with Hodgkin-Huxley-like ion channels demonstrated that intrinsic properties would be sufficient to readily produce 3 to 6 Hz oscillations. Hyperpolarization of the model cell reduced its oscillation frequency monotonically whether through current injection or modulation of a potassium conductance, simulating the response to a neuromodulatory input. We performed detailed analysis of highly reduced models to determine the mechanism of this frequency control. The interburst interval was controlled by two different mechanisms depending on whether or not the pacemaker current, IH, was present. In the absence of IH, depolarization during the interburst interval occurred at the same rate with different current injections. The voltage difference from the nadir to threshold for the low-threshold calcium current, IT, determined the interburst interval. In contrast, with IH present, the rate of depolarization depended on injected current. With the full model, simulated repetitive cortical synaptic input entrained oscillations up to approximately double the natural frequency. Cortical input readily produced phase resetting as well. Our findings suggest that neither ascending brainstem control altering underlying hyperpolarization, nor descending drive by repetitive cortical inputs, would alone be sufficient to produce the range of oscillation frequencies seen in thalamocortical neurons. Instead, intrinsic neuronal mechanisms would dominate for generating the delta range (0.5-4 Hz) oscillations seen during slow wave sleep, whereas synaptic interactions with cortex and the thalamic reticular nucleus would be required for faster oscillations in the frequency range of spindling (7-14 Hz).

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Year:  1996        PMID: 9045080     DOI: 10.1016/s0306-4522(96)83006-5

Source DB:  PubMed          Journal:  Neuroscience        ISSN: 0306-4522            Impact factor:   3.590


  16 in total

1.  Action potential backpropagation and somato-dendritic distribution of ion channels in thalamocortical neurons.

Authors:  S R Williams; G J Stuart
Journal:  J Neurosci       Date:  2000-02-15       Impact factor: 6.167

2.  Oscillations in large-scale cortical networks: map-based model.

Authors:  N F Rulkov; I Timofeev; M Bazhenov
Journal:  J Comput Neurosci       Date:  2004 Sep-Oct       Impact factor: 1.621

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

Authors:  Arash Hadipour-Niktarash
Journal:  J Comput Neurosci       Date:  2006-04-22       Impact factor: 1.621

4.  On the actions that one nerve cell can have on another: distinguishing "drivers" from "modulators".

Authors:  S M Sherman; R W Guillery
Journal:  Proc Natl Acad Sci U S A       Date:  1998-06-09       Impact factor: 11.205

5.  The interplay of seven subthreshold conductances controls the resting membrane potential and the oscillatory behavior of thalamocortical neurons.

Authors:  Yimy Amarillo; Edward Zagha; German Mato; Bernardo Rudy; Marcela S Nadal
Journal:  J Neurophysiol       Date:  2014-04-23       Impact factor: 2.714

6.  Genetic evidence for a role for protein kinase A in the maintenance of sleep and thalamocortical oscillations.

Authors:  Kevin Hellman; Pepe Hernandez; Alice Park; Ted Abel
Journal:  Sleep       Date:  2010-01       Impact factor: 5.849

Review 7.  Computer modelling of epilepsy.

Authors:  William W Lytton
Journal:  Nat Rev Neurosci       Date:  2008-07-02       Impact factor: 34.870

8.  Model of thalamocortical slow-wave sleep oscillations and transitions to activated States.

Authors:  Maxim Bazhenov; Igor Timofeev; Mircea Steriade; Terrence J Sejnowski
Journal:  J Neurosci       Date:  2002-10-01       Impact factor: 6.167

9.  Influence of norepinephrine on somatosensory neuronal responses in the rat thalamus: a combined modeling and in vivo multi-channel, multi-neuron recording study.

Authors:  Karen A Moxon; David M Devilbiss; John K Chapin; Barry D Waterhouse
Journal:  Brain Res       Date:  2007-02-08       Impact factor: 3.252

Review 10.  Interactions between membrane conductances underlying thalamocortical slow-wave oscillations.

Authors:  A Destexhe; T J Sejnowski
Journal:  Physiol Rev       Date:  2003-10       Impact factor: 37.312

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