Literature DB >> 24995052

The phase response of the cortical slow oscillation.

Arne Weigenand1, Thomas Martinetz2, Jens Christian Claussen2.   

Abstract

Cortical slow oscillations occur in the mammalian brain during deep sleep and have been shown to contribute to memory consolidation, an effect that can be enhanced by electrical stimulation. As the precise underlying working mechanisms are not known it is desired to develop and analyze computational models of slow oscillations and to study the response to electrical stimuli. In this paper we employ the conductance based model of Compte et al. (J Neurophysiol 89:2707-2725, 2003) to study the effect of electrical stimulation. The population response to electrical stimulation depends on the timing of the stimulus with respect to the state of the slow oscillation. First, we reproduce the experimental results of electrical stimulation in ferret brain slices by Shu et al. (Nature 423:288-293, 2003) from the conductance based model. We then numerically obtain the phase response curve for the conductance based network model to quantify the network's response to weak stimuli. Our results agree with experiments in vivo and in vitro that show that sensitivity to stimulation is weaker in the up than in the down state. However, we also find that within the up state stimulation leads to a shortening of the up state, or phase advance, whereas during the up-down transition a prolongation of up states is possible, resulting in a phase delay. Finally, we compute the phase response curve for the simple mean-field model by Ngo et al. (EPL Europhys Lett 89:68002, 2010) and find that the qualitative shape of the PRC is preserved, despite its different mechanism for the generation of slow oscillations.

Entities:  

Keywords:  Cortex; Phase response; Sleep; Slow oscillation; Synchronization

Year:  2012        PMID: 24995052      PMCID: PMC4079848          DOI: 10.1007/s11571-012-9207-z

Source DB:  PubMed          Journal:  Cogn Neurodyn        ISSN: 1871-4080            Impact factor:   5.082


  38 in total

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2.  Cellular and network mechanisms of slow oscillatory activity (<1 Hz) and wave propagations in a cortical network model.

Authors:  Albert Compte; Maria V Sanchez-Vives; David A McCormick; Xiao-Jing Wang
Journal:  J Neurophysiol       Date:  2003-01-15       Impact factor: 2.714

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Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2009-01-21

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Authors:  Maurizio Mattia; Maria V Sanchez-Vives
Journal:  Cogn Neurodyn       Date:  2011-11-01       Impact factor: 5.082

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Journal:  J Comput Neurosci       Date:  2010-08-11       Impact factor: 1.621

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  5 in total

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5.  Phase Response Synchronization in Neuronal Population with Time-Varying Coupling Strength.

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