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| Hypothermia has been proven to be able to improve the neurological recovery outcomes from CA and early reperfusion in both animal models and preliminary human clinical trials. Yet, hypothermia is still underused as a therapeutic technique.
Our group focuses on novel animal protocol design and new algorithm development for characterizing the degrees of neurological injuries to the brain and the effect of therapeutic hypothermia on the post-cardiac-arrest resuscitation. |
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Electroencephalogram (EEG) |
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Spikes (cortical and from other brain structures) |
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Evoked Potential (EP) |
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Globally Ischemic Cardiac Arrest Rat Model
Our globally ischemic CA experiments include models with different duration of CA (5-min, 7-min and 9-min). On the other hand, we also compare the different effects of conventional hypothermia and immediate hypothermia on post-resuscitation neurological recovery. |
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Novel Quantitative EEG Analysis
Recently, we have developed entropy-based methods to analyze EEG data. One approach measures the entropy using a probability distribution of signal amplitude in the time domain, while another approach, such as the Wavelet Entropy (WE), calculates measures how wide the power distributes in EEG frequency bands. WE is a good measure of spectral order/disorder but is less sensitive to amplitude change in time domain. A new measure, Information Quantity (IQ), improves upon the shortcomings of these two approaches. IQ can be interpreted as a unified entropy measure applicable to both time and frequency domains since it is based on time-frequency representation of a wavelet transform. IQ can be directly applied to quantitative EEG analysis of neurological injury and recovery. This measure is shown to be useful in titrating different grades of cardiac arrest injuries and hypothermic treatments. |
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| a) Reduced bursting activity during induced cardiac arrest. b) Comparison between Information Quantity and Shannon Entropy. c) Comparison of EEG entropy between hypothermia and normothermia with IQ |
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Researchers |
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Xiaofeng Jia, MD, PhD
Youngesok Choi, PhD
Xiaoxu Kang
Nan Li, MSE |
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Collaborators |
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Romer Geocadin, MD - Johns Hopkins School of Medicine (Neurology)
Daniel F. Hanley, MD - Johns Hopkins School of Medicine (Neurology)
Matthew Koenig, MD - Johns Hopkins School of Medicine (Neurology)
Carlos A. Prado, MD - Johns Hopkins School of Medicine (Neurology) |
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Funding |
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NIH R01
NIH R21 |
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Publications |
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Jia X, Koenig MA, Venkatraman A, Thakor NV, Geocadin RG, Post-cardiac arrest temperature manipulation alters early EEG bursting in rats, Resuscitation, in press, 2008
Shin HC, Jia X, Nickl R, Geocadin RG, Thakor NV, A subband-based information measure of EEG during brain injury and recovery after cardiac arrest, IEEE Trans Biomed Eng, 55(8):1985-90, 2008
Kang X, Geocadin R, Thakor NV, Maybhate A, Multiscale entropy analysis of EEG for assessment of post-cardiac-arrest neurological recovery under hypothermia in rats, IEEE Trans Biomed Eng, in press, 2008
Geocadin RG, Koenig MA, Jia X, Stevens RD, Peberdy MA, Management of brain injury after resuscitation from cardiac arrest, Neurol Clin, 26(2):487-506, 2008
Jia X, Koenig MA, Shin HC, Zhen G, Pardo CA, Hanley DF, Thakor NV, Geocadin RG, Improving neurological outcomes post-cardiac arrest in a rat model: Immediate hypothermia and quantitative EEG monitoring, Resuscitation, 76(3):431-42, 2008 |
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