A state-space model of the burst suppression ratio
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Author(s)
Solt, Ken
Brown, Emery N.
Chemali, Jessica J.
Wong, K. F. Kevin
Date Issued
August 2011
Journal
Proceedings of the 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Citation
Chemali, J. J., K. F. K. Wong, K. Solt, and E. N. Brown. “A State-Space Model of the Burst Suppression Ratio.” 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society (n.d.).
Version
Author's final manuscript
Abstract
Burst suppression is an electroencephalogram pattern observed in states of severely reduced brain activity, such as general anesthesia, hypothermia and anoxic brain injuries. The burst suppression ratio (BSR), defined as the fraction of EEG spent in suppression per epoch, is the standard quantitative measure used to characterize burst suppression. We present a state space model to compute a dynamic estimate of the BSR as the instantaneous probability of suppression. We estimate the model using an approximate EM algorithm and illustrate its application in the analysis of rodent burst suppression recordings under general anesthesia. Our approach removes the need to artificially average the ratio over long epochs and allows us to make formal statistical comparisons of burst activity at different time points. Our state-space model suggests a more principled way to analyze this key EEG feature that may offer more informative assessments of its associated brain state.
MIT Department
Harvard University--MIT Division of Health Sciences and Technology
Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences
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Creative Commons Attribution-Noncommercial-Share Alike
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DOI of Published Version
https://doi.org/10.1109/iembs.2011.6090354
