TY - JOUR
T1 - Multiscale entropy analysis of eeg for assessment of post-cardiac arrest neurological recovery under hypothermia in rats
AU - Kang, Xiaoxu
AU - Jia, Xiaofeng
AU - Geocadin, Romergryko G.
AU - Thakor, Nitish V.
AU - Maybhate, Anil
N1 - Funding Information:
Ms. Kang is a student member of the Society of Neuroscience and the Biomedical Engineering Society. She was the recipient of a National Chiang Chen Industry Charity Fellowship from Chiang Chen Industrial Charity Foundation, China, in 2007.
Funding Information:
Manuscript received April 3, 2008; revised July 23, 2008 and November 6, 2008. First published January 23, 2009; current version published May 6, 2009. This work was supported in part by the National Institute of Health (NIH) under Grant R01 HL071568 and Grant R21 NS054146. Asterisk indicates corresponding author.
PY - 2009/4
Y1 - 2009/4
N2 - Neurological complications after cardiac arrest (CA) can be fatal. Although hypothermia has been shown to be beneficial, understanding the mechanism and establishing neurological outcomes remains challenging because effects of CA and hypothermia are not well characterized. This paper aims to analyze EEG (and the α-rhythms) using multiscale entropy (MSE) to demonstrate the ability of MSE in tracking changes due to hypothermia and compare MSE during early recovery with long-term neurological examinations. Ten Wistar rats, upon post-CA resuscitation, were randomly subjected to hypothermia (32 °C-34 °C, N = 5) or normothermia (36.5 °C-37 °C, N = 5). EEG was recorded and analyzed using MSE during seven recovery phases for each experiment: baseline, CA, and five early recovery phases (R1-R5). Postresuscitation neurological examination was performed at 6, 24, 48, and 72 h to obtain neurological deficit scores (NDSs). Results showed MSE to be a sensitive marker of changes in α-rhythms. Significant difference ( p < 0.05) was found between the MSE for two groups during recovery, suggesting that MSE can successfully reflect temperature modulation. A comparison of short-term MSE and long-term NDS suggested that MSE could be used for predicting favorability of long-term outcome. These experiments point to the role of cortical rhythms in reporting early neurological response to ischemia and therapeutic hypothermia.
AB - Neurological complications after cardiac arrest (CA) can be fatal. Although hypothermia has been shown to be beneficial, understanding the mechanism and establishing neurological outcomes remains challenging because effects of CA and hypothermia are not well characterized. This paper aims to analyze EEG (and the α-rhythms) using multiscale entropy (MSE) to demonstrate the ability of MSE in tracking changes due to hypothermia and compare MSE during early recovery with long-term neurological examinations. Ten Wistar rats, upon post-CA resuscitation, were randomly subjected to hypothermia (32 °C-34 °C, N = 5) or normothermia (36.5 °C-37 °C, N = 5). EEG was recorded and analyzed using MSE during seven recovery phases for each experiment: baseline, CA, and five early recovery phases (R1-R5). Postresuscitation neurological examination was performed at 6, 24, 48, and 72 h to obtain neurological deficit scores (NDSs). Results showed MSE to be a sensitive marker of changes in α-rhythms. Significant difference ( p < 0.05) was found between the MSE for two groups during recovery, suggesting that MSE can successfully reflect temperature modulation. A comparison of short-term MSE and long-term NDS suggested that MSE could be used for predicting favorability of long-term outcome. These experiments point to the role of cortical rhythms in reporting early neurological response to ischemia and therapeutic hypothermia.
KW - Cardiac arrest (CA)
KW - Entropy
KW - Neurological injury
KW - Quantitative EEG
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U2 - 10.1109/TBME.2008.2011917
DO - 10.1109/TBME.2008.2011917
M3 - Article
C2 - 19174339
AN - SCOPUS:67349274511
VL - 56
SP - 1023
EP - 1031
JO - IRE transactions on medical electronics
JF - IRE transactions on medical electronics
SN - 0018-9294
IS - 4
M1 - 4760210
ER -