2021
DOI: 10.1097/cce.0000000000000349
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Intranasal Orexin After Cardiac Arrest Leads to Increased Electroencephalographic Gamma Activity and Enhanced Neurologic Recovery in Rats

Abstract: Objectives: Prolonged cardiac arrest is known to cause global ischemic brain injury and functional impairment. Upon resuscitation, electroencephalographic recordings of brain activity begin to resume and can potentially be used to monitor neurologic recovery. We have previously shown that intrathecal orexin shows promise as a restorative drug and arousal agent in rodents. Our goal is to determine the electrophysiology effects of orexin in a rodent model of asphyxial cardiac arrest, focusing on the … Show more

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Cited by 1 publication
(4 citation statements)
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“…The detrended standard deviation of the downsampled EEG was calculated to determine approximate bin thresholding for the calculation of Shannon entropy. The downsampled EEG was divided into nonoverlapping eight‐second windows and decomposed into frequency bands using a one‐dimensional, five‐level dyadic, symlet9 wavelet decomposition, which after coefficient‐based reconstruction provides six signals representing the target ranges of super‐gamma as 61.5–122 Hz, gamma as 30.75–61.5 Hz, beta as 15.375–30.75 Hz, alpha as 7.688–15.375 Hz, theta as 3.844–7.688 Hz, and delta as 1.922–3.844 Hz 30 . The spectral power of each range was calculated from the wavelet coefficients using the Parseval equivalence identity.…”
Section: Methodsmentioning
confidence: 99%
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“…The detrended standard deviation of the downsampled EEG was calculated to determine approximate bin thresholding for the calculation of Shannon entropy. The downsampled EEG was divided into nonoverlapping eight‐second windows and decomposed into frequency bands using a one‐dimensional, five‐level dyadic, symlet9 wavelet decomposition, which after coefficient‐based reconstruction provides six signals representing the target ranges of super‐gamma as 61.5–122 Hz, gamma as 30.75–61.5 Hz, beta as 15.375–30.75 Hz, alpha as 7.688–15.375 Hz, theta as 3.844–7.688 Hz, and delta as 1.922–3.844 Hz 30 . The spectral power of each range was calculated from the wavelet coefficients using the Parseval equivalence identity.…”
Section: Methodsmentioning
confidence: 99%
“…Entropy has been used to quantify the randomness of EEG signals to reflect their complexity and is defined as 31,32 S=i=1Lpilnpiwhere pi is the probability that the signal belongs to a considered amplitude interval with L partitions and with the understanding that (a) i=1Lpi=1 with 0pi1,i=1,,L and (b) pilnpi=0 if pi=0. These methods used in quantitative EEG analysis were validated in our previous research 30,33–35 …”
Section: Methodsmentioning
confidence: 99%
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