Literature DB >> 9463458

Mechanisms underlying the synchronizing action of corticothalamic feedback through inhibition of thalamic relay cells.

A Destexhe1, D Contreras, M Steriade.   

Abstract

Early studies have shown that spindle oscillations are generated in the thalamus and are synchronized over wide cortical territories. More recent experiments have shown that this large-scale synchrony depends on the integrity of corticothalamic feedback. Previously proposed mechanisms emphasized exclusively intrathalamic mechanisms to generate the synchrony of these oscillations. In the present paper, we propose a cellular mechanism in which the synchrony is dependent of a mutual interaction between cortex and thalamus. This cellular mechanism is tested by computational models consisting of pyramidal cells, interneurons, thalamic reticular (RE) and thalamocortical (TC) relay cells, on the basis of voltage-clamp data on intrinsic currents and synaptic receptors present in the circuitry. The model suggests that corticothalamic feedback must operate on the thalamus mainly through excitation of GABAergic RE neurons, therefore recruiting relay cells essentially through inhibition and rebound. We provide experimental evidence for such dominant inhibition in the lateral posterior nucleus. In these conditions, the model shows that cortical discharges optimally evoked thalamic oscillations. This feature is essential to the present cellular mechanism and is also consistently observed experimentally. The model further shows that, with this type of corticothalamic feedback, cortical discharges recruited large areas of the thalamus because of the divergent cortex-to-RE and RE-to-TC axonal projections. Consequently, the thalamocortical network generated patterns of oscillations and synchrony similar to in vivo recordings. The model also emphasizes the important role of the modulation of the Ih current by calcium in TC cells. This property conferred a relative refractoriness to the entire network, a feature also observed experimentally, as we show here. Further, the same property accounted for various spatiotemporal features of oscillations, such as systematic propagation after low-intensity cortical stimulation, local oscillations, and more generally, a high variability in the patterns of spontaneous oscillations, similar to in vivo recordings. We propose that the large-scale synchrony of spindle oscillations in vivo is the result of thalamocortical interactions in which the corticothalamic feedback acts predominantly through the RE nucleus. Several predictions are suggested to test the validity of this model.

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Year:  1998        PMID: 9463458     DOI: 10.1152/jn.1998.79.2.999

Source DB:  PubMed          Journal:  J Neurophysiol        ISSN: 0022-3077            Impact factor:   2.714


  129 in total

1.  Differences in quantal amplitude reflect GluR4- subunit number at corticothalamic synapses on two populations of thalamic neurons.

Authors:  P Golshani; X B Liu; E G Jones
Journal:  Proc Natl Acad Sci U S A       Date:  2001-02-27       Impact factor: 11.205

2.  The GABAergic reticular nucleus: a preferential target of corticothalamic projections.

Authors:  M Steriade
Journal:  Proc Natl Acad Sci U S A       Date:  2001-03-20       Impact factor: 11.205

3.  Localized bumps of activity sustained by inhibition in a two-layer thalamic network.

Authors:  J Rubin; D Terman; C Chow
Journal:  J Comput Neurosci       Date:  2001 May-Jun       Impact factor: 1.621

4.  Long-range temporal correlations and scaling behavior in human brain oscillations.

Authors:  K Linkenkaer-Hansen; V V Nikouline; J M Palva; R J Ilmoniemi
Journal:  J Neurosci       Date:  2001-02-15       Impact factor: 6.167

Review 5.  Dynamic shifting in thalamocortical processing during different behavioural states.

Authors:  Miguel A L Nicolelis; Erika E Fanselow
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2002-12-29       Impact factor: 6.237

6.  The initiation of bursts in thalamic neurons and the cortical control of thalamic sensitivity.

Authors:  Alain Destexhe; Terrence J Sejnowski
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2002-12-29       Impact factor: 6.237

7.  Dynamics of coupled thalamocortical modules.

Authors:  Jonathan D Drover; Nicholas D Schiff; Jonathan D Victor
Journal:  J Comput Neurosci       Date:  2010-05-20       Impact factor: 1.621

8.  Functional consequences of correlated excitatory and inhibitory conductances in cortical networks.

Authors:  Jens Kremkow; Laurent U Perrinet; Guillaume S Masson; Ad Aertsen
Journal:  J Comput Neurosci       Date:  2010-05-19       Impact factor: 1.621

9.  Gating of signal propagation in spiking neural networks by balanced and correlated excitation and inhibition.

Authors:  Jens Kremkow; Ad Aertsen; Arvind Kumar
Journal:  J Neurosci       Date:  2010-11-24       Impact factor: 6.167

Review 10.  Bursts modify electrical synaptic strength.

Authors:  Julie S Haas; Carole E Landisman
Journal:  Brain Res       Date:  2012-07-05       Impact factor: 3.252

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