Assessing Neuronal Interactions of Cell Assemblies during General Anesthesia
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embc11_anesthesia_short.pdf
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163.84 KB
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Author(s)
Chen, Zhe
Vijayan, Sujith
Ching, ShiNung
Hale, Gregory John
Flores Plaza, Francisco Javier
Wilson, Matthew A.
Brown, Emery N.
Date Issued
August 2011
Journal
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2011
Publisher
Institute of Electrical and Electronics Engineers
Citation
Chen, Zhe et al. "Assessing Neuronal Interactions of Cell Assemblies during General Anesthesia." Proceedings of the 33rd Annual International Conference of the IEEE EMBS Boston, Massachusetts USA, Aug. 30-Sept. 3, 2011. 4175–4178. © 2011 IEEE.
Version
Author's final manuscript
Abstract
Understanding the way in which groups of cortical neurons change their individual and mutual firing activity during the induction of general anesthesia may improve the safe usage of many anesthetic agents. Assessing neuronal interactions within cell assemblies during anesthesia may be useful for understanding the neural mechanisms of general anesthesia. Here, a point process generalized linear model (PPGLM) was applied to infer the functional connectivity of neuronal ensembles during both baseline and anesthesia, in which neuronal firing rates and network connectivity might change dramatically. A hierarchical Bayesian modeling approach combined with a variational Bayes (VB) algorithm is used for statistical inference. The effectiveness of our approach is evaluated with synthetic spike train data drawn from small and medium-size networks (consisting of up to 200 neurons), which are simulated using biophysical voltage-gated conductance models. We further apply the analysis to experimental spike train data recorded from rats' barrel cortex during both active behavior and isoflurane anesthesia conditions. Our results suggest that that neuronal interactions of both putative excitatory and inhibitory connections are reduced after the induction of isoflurane anesthesia.
MIT Department
Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike 3.0
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1109/IEMBS.2011.6091036
