Literature DB >> 25649968

The human burst suppression electroencephalogram of deep hypothermia.

M Brandon Westover1,2, Shinung Ching3, Vishakhadatta M Kumaraswamy1, Seun Oluwaseun Akeju4, Eric Pierce4,5, Sydney S Cash1,2, Ronan Kilbride6, Emery N Brown4,5,7, Patrick L Purdon4,5,7.   

Abstract

OBJECTIVE: Deep hypothermia induces 'burst suppression' (BS), an electroencephalogram pattern with low-voltage 'suppressions' alternating with high-voltage 'bursts'. Current understanding of BS comes mainly from anesthesia studies, while hypothermia-induced BS has received little study. We set out to investigate the electroencephalogram changes induced by cooling the human brain through increasing depths of BS through isoelectricity.
METHODS: We recorded scalp electroencephalograms from eleven patients undergoing deep hypothermia during cardiac surgery with complete circulatory arrest, and analyzed these using methods of spectral analysis.
RESULTS: Within patients, the depth of BS systematically depends on the depth of hypothermia, though responses vary between patients except at temperature extremes. With decreasing temperature, burst lengths increase, and burst amplitudes and lengths decrease, while the spectral content of bursts remains constant.
CONCLUSIONS: These findings support an existing theoretical model in which the common mechanism of burst suppression across diverse etiologies is the cyclical diffuse depletion of metabolic resources, and suggest the new hypothesis of local micro-network dropout to explain decreasing burst amplitudes at lower temperatures. SIGNIFICANCE: These results pave the way for accurate noninvasive tracking of brain metabolic state during surgical procedures under deep hypothermia, and suggest new testable predictions about the network mechanisms underlying burst suppression.
Copyright © 2015 International Federation of Clinical Neurophysiology. Published by Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Burst suppression; Electroencephalogram; Hypothermia

Mesh:

Year:  2015        PMID: 25649968      PMCID: PMC4504839          DOI: 10.1016/j.clinph.2014.12.022

Source DB:  PubMed          Journal:  Clin Neurophysiol        ISSN: 1388-2457            Impact factor:   3.708


  45 in total

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Journal:  Ann Cardiothorac Surg       Date:  2013-03

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7.  Clustering analysis to identify distinct spectral components of encephalogram burst suppression in critically ill patients.

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9.  Etiology of Burst Suppression EEG Patterns.

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