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J Neurophysiol (July 13, 2005). doi:10.1152/jn.01313.2004
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Submitted on December 20, 2004
Accepted on July 9, 2005

Characterization of synaptic conductances and integrative properties during electrically-induced EEG-activated states in neocortical neurons in vivo

Michael Rudolph1, Joe-Guillaume Pelletier1, Denis Pare1, and Alain Destexhe1*

1 Integrative and Computational Neuroscience Unit, CNRS, Gif sur Yvette, France

* To whom correspondence should be addressed. E-mail: Alain.Destexhe{at}iaf.cnrs-gif.fr.

The activation of the electroencephalogram (EEG) is paralleled with an increase in the firing rate of cortical neurons, but little is known concerning the conductance state of their membrane, and its impact on their integrative properties. Here, we combined in vivo intracellular recordings with computational models to investigate EEG-activated states induced by stimulation of the brainstem ascending arousal system. Electrical stimulation of the pedonculopontine tegmental (PPT) nucleus produced long-lasting (approx 20 sec) periods of desynchronized EEG activity similar to the EEG of awake animals. Intracellularly, PPT stimulation locked the membrane into a depolarized state, similar to the up-states seen during deep anesthesia. During these EEG-activated states, however, the input resistance was higher than during up-states. Conductance measurements were performed using different methods, which all indicate that EEG-activated states were associated with a synaptic activity dominated by inhibitory conductances. These results were confirmed by computational models of reconstructed pyramidal neurons constrained by the corresponding intracellular recordings. These models indicate that, during EEG-activated states, neocortical neurons are in a high-conductance state consistent with a stochastic integrative mode. The amplitude and timing of somatic EPSPs was nearly independent of the position of the synapses in dendrites, suggesting that EEG-activated states are compatible with coding paradigms involving the precise timing of synaptic events.




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