A neurophysiological-metabolic model for burst suppression
Author(s)
Ching, ShiNung; Purdon, Patrick Lee; Vijayan, Sujith; Kopell, Nancy J.; Brown, Emery N.
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Burst suppression is an electroencepholagram (EEG) pattern in which high-voltage activity alternates with isoelectric quiescence. It is characteristic of an inactivated brain and is commonly observed at deep levels of general anesthesia, hypothermia, and in pathological conditions such as coma and early infantile encephalopathy. We propose a unifying mechanism for burst suppression that accounts for all of these conditions. By constructing a biophysical computational model, we show how the prevailing features of burst suppression may arise through the interaction between neuronal dynamics and brain metabolism. In each condition, the model suggests that a decrease in cerebral metabolic rate, coupled with the stabilizing properties of ATP-gated potassium channels, leads to the characteristic epochs of suppression. Consequently, the model makes a number of specific predictions of experimental and clinical relevance.
Date issued
2012-02Department
Harvard University--MIT Division of Health Sciences and Technology; Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences; Picower Institute for Learning and MemoryJournal
Proceedings of the National Academy of Sciences
Publisher
National Academy of Sciences (U.S.)
Citation
Ching, S., P. L. Purdon, S. Vijayan, N. J. Kopell, and E. N. Brown. “A Neurophysiological-Metabolic Model for Burst Suppression.” Proceedings of the National Academy of Sciences 109, no. 8 (February 7, 2012): 3095–3100.
Version: Final published version
ISSN
0027-8424
1091-6490