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Anesthetic action on extra-synaptic receptors: effects in neural population models of EEG activity

Overview of attention for article published in Frontiers in Systems Neuroscience, December 2014
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Title
Anesthetic action on extra-synaptic receptors: effects in neural population models of EEG activity
Published in
Frontiers in Systems Neuroscience, December 2014
DOI 10.3389/fnsys.2014.00232
Pubmed ID
Authors

Meysam Hashemi, Axel Hutt, Jamie Sleigh

Abstract

The role of extra-synaptic receptors in the regulation of excitation and inhibition in the brain has attracted increasing attention. Because activity in the extra-synaptic receptors plays a role in regulating the level of excitation and inhibition in the brain, they may be important in determining the level of consciousness. This paper reviews briefly the literature on extra-synaptic GABA and NMDA receptors and their affinity to anesthetic drugs. We propose a neural population model that illustrates how the effect of the anesthetic drug propofol on GABAergic extra-synaptic receptors results in changes in neural population activity and the electroencephalogram (EEG). Our results show that increased tonic inhibition in inhibitory cortical neurons cause a dramatic increase in the power of both δ- and α- bands. Conversely, the effects of increased tonic inhibition in cortical excitatory neurons and thalamic relay neurons have the opposite effect and decrease the power in these bands. The increased δ-activity is in accord with observed data for deepening propofol anesthesia; but is absolutely dependent on the inclusion of extrasynaptic (tonic) GABA action in the model.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Italy 1 4%
Unknown 22 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 22%
Student > Ph. D. Student 4 17%
Student > Doctoral Student 3 13%
Professor 3 13%
Student > Master 2 9%
Other 3 13%
Unknown 3 13%
Readers by discipline Count As %
Neuroscience 5 22%
Medicine and Dentistry 4 17%
Computer Science 3 13%
Engineering 3 13%
Agricultural and Biological Sciences 2 9%
Other 1 4%
Unknown 5 22%