2013
DOI: 10.1073/pnas.1308285110
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Surge of neurophysiological coherence and connectivity in the dying brain

Abstract: The brain is assumed to be hypoactive during cardiac arrest. However, the neurophysiological state of the brain immediately following cardiac arrest has not been systematically investigated. In this study, we performed continuous electroencephalography in rats undergoing experimental cardiac arrest and analyzed changes in power density, coherence, directed connectivity, and cross-frequency coupling. We identified a transient surge of synchronous gamma oscillations that occurred within the first 30 s after card… Show more

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Cited by 164 publications
(163 citation statements)
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“…The global surge of synchronized cortical gamma activities stimulated by asphyxia signifies an internally aroused brain and supports the concept that the mammalian brain is capable of high levels of internal information processing at neardeath (9). Functional and effective connectivity in multiple frequency bands, including gamma-1 oscillations, was markedly elevated during the entire period of asphyxic cardiac arrest.…”
Section: Indices Of Conscious Information Processing Surge During Aspsupporting
confidence: 67%
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“…The global surge of synchronized cortical gamma activities stimulated by asphyxia signifies an internally aroused brain and supports the concept that the mammalian brain is capable of high levels of internal information processing at neardeath (9). Functional and effective connectivity in multiple frequency bands, including gamma-1 oscillations, was markedly elevated during the entire period of asphyxic cardiac arrest.…”
Section: Indices Of Conscious Information Processing Surge During Aspsupporting
confidence: 67%
“…Previously, we have reported a marked and brief surge of cortical coherence induced by asphyxia in anesthetized rats (9). A robust increase of global coherence induced by carbon dioxide inhalation is evident in the absence of anesthesia and progresses with a temporally welldefined sequence (Fig.…”
Section: Cardiac Electrical Signals Visualized By Electrocardiomatrimentioning
confidence: 74%
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