Parameterized entropy analysis of EEG following hypoxic–ischemic brain injury

Tong, Shanbao; Bezerianos, Anastasios; Malhotra, Amit D.; Zhu, Yan; Thakor, Nitish V.

doi:10.1016/s0375-9601(03)00949-6

Cited by 56 publications

(51 citation statements)

References 36 publications

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“…Hence, the statistical differences observed in the TSE and GSE seem to decrease as q increases, whereas an opposite behavior is obtained when the RSE is analyzed. In addition, previous studies also observed that quantifiers based on Tsallis and Rényi entropies exhibited a moderate or low dependence with the parameter q [18], [20], whereas measures based on the generalized escort-Tsallis statistics showed a strong dependence on q [20]. In our analyses, a slightly dependence on q can also be observed, since both the statistical and classification results varied depending on this index.…”

Section: Resultssupporting

confidence: 76%

“…PSDs were averaged for each channel and subject to compute the mean power spectrum. Then, the RSP was calculated in the classical frequency bands: delta (1-4 Hz), theta (4-8 Hz), alpha (8-13 Hz), beta1 (13)(14)(15)(16)(17)(18)(19), beta2 (19)(20)(21)(22)(23)(24)(25)(26)(27)(28)(29)(30) and gamma (30-64 Hz). If we denote the power at each frequency band as P j , j = {delta, theta, alpha, beta1, beta2, gamma}, then, the RSP can be represented as a probability distribution,…”

Section: B Definition Of the Spectral Entropiesmentioning

confidence: 99%

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Analysis of Spontaneous MEG Activity in Patients with Alzheimer's Disease using Spectral Entropies

Poza

Hornero

Abásolo

et al. 2007

2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society

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Abstract-The aim of this study was to explore the ability of several spectral entropies to discriminate between spontaneous magnetoencephalographic (MEG) oscillations from 20 Alzheimer's disease (AD) patients and 21 controls. Hence, the relative spectral power (RSP) in classical frequency bands was calculated from the averaged power spectral density. Given the fact that the RSP can be viewed as a probability distribution function, the Shannon spectral entropy, Tsallis spectral entropy, generalized escort-Tsallis spectral entropy and Rényi spectral entropy were calculated from the RSP. Significant differences for each parameter were assessed with MannWhitney U test, whereas classification performance was studied using binary logistic regression. Results revealed an increase in the RSP of control subjects at beta and gamma bands, while AD patients showed an increase in the RSP values at delta and theta bands. Entropic quantifiers obtained statistically significant lower values for AD patients than for controls. This issue suggests a significant decrease in irregularity of AD patients' MEG activity.

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Section: Resultssupporting

confidence: 76%

Section: B Definition Of the Spectral Entropiesmentioning

confidence: 99%

Analysis of Spontaneous MEG Activity in Patients with Alzheimer's Disease using Spectral Entropies

Poza

Hornero

Abásolo

et al. 2007

2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society

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“…We have used qEEG analysis previously to track brain recovery after CA 15,16,[20][21][22][23][24] . EEGs were recorded from baseline through re-warming periods using DI700 Windaq system 15 .…”

Section: Eeg Recording and Qeeg Analysismentioning

confidence: 99%

Improving neurological outcomes post-cardiac arrest in a rat model: Immediate hypothermia and quantitative EEG monitoring

Jia¹,

Koenig²,

Shin³

et al. 2008

Resuscitation

133

136

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SummaryObjectives-Therapeutic hypothermia (TH) after cardiac arrest (CA) improves outcomes in a fraction of patients. To enhance the administration of TH, we studied brain electrophysiological monitoring in determining the benefit of early initiation of TH compared to conventional administration in a rat model. Methods-Using an asphyxial CA model, we compared the benefit of immediate hypothermia (IH, T=33°C, immediately post-resuscitation, maintained 6 hours) to conventional hypothermia (CH, T=33°C, starting 1 hour post-resuscitation, maintained 12 hours) via surface cooling. We tracked quantitative EEG using relative entropy (qEEG) with outcome verification by serial Neurological Deficit Score (NDS) and quantitative brain histopathological damage scoring (HDS). Thirty-two rats were divided into 4 groups based on CH/IH and 7/9-minute duration of asphyxial CA. Four sham rats were included for evaluation of the effect of hypothermia on qEEG.Results-The 72-hour NDS of the IH group was significantly better than the CH group for both 7-minute (74/63; Median, IH/CH, p<0.001) and 9-minute (54/47, p=0.022) groups. qEEG showed greater recovery with IH (p<0.001) and significantly less neuronal cortical injury by HDS (IH: 18.9 ±2.5% versus CH: 33.2±4.4%, p=0.006). The 1-hour post-resuscitation qEEG correlated well with 72-hour NDS (p<0.05) and 72-hour behavioral subgroup of NDS (p<0.01). No differences in qEEG were noted in the sham group. *Corresponding author: Xiaofeng JIA MD, PhD, CRB II Building 3M-South, 1550 Orleans Street, Johns Hopkins University School of Medicine, Baltimore, MD 21231, USA, Telephone number: +1-410-502-2820, Fax: +1-410-502-7869, E-mail address: xjia1@jhmi.edu. Publisher's Disclaimer: This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final citable form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.Portions of this work were previously presented in 4 th Annual Meeting of the Neurocritical Care Society in Baltimore, MD (November 2006) and at the 36 th Annual Meeting of the Society for Neuroscience at Atlanta, Georgia (October 2006) where it was selected for the lay language summary press book. Conflict of interest statementThere are no conflicts of interest in this study. Conclusions-Immediate but shorter hypothermia compared to CH leads to better functional outcome in rats after 7-and 9-minute CA. The beneficial effect of IH was readily detected by neuroelectrophysiological monitoring and histological changes supported the value of this observation. NIH Public Access

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“…The development of quantitative EEG analysis was motivated by the need for objective measures as well as some degree of automation [1]. Quantitative EEG analysis shows promising results as a tool for diagnostic monitoring of brain injury such as after resuscitation from cardiac arrest [2]- [5].…”

Section: Introductionmentioning

confidence: 99%

“…From the perspective of the information theory, the information contained in a signal can be physically quantified by calculating the entropy [12]. The entropy-based EEG analysis methods have recently been developed and showed promising results [2]- [4]. For example, Tong et al used the time dependent entropy (TDE) measure to study EEG during the recovery of the brain's function from asphyxic cardiac arrest injury.…”

Section: Introductionmentioning

confidence: 99%

Quantitative EEG and Effect of Hypothermia on Brain Recovery After Cardiac Arrest

Shin

Tong

Yamashita

et al. 2006

IEEE Trans. Biomed. Eng.

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In this paper, we provide a quantitative electroencephalogram (EEG) analysis to study the effect of hypothermia on the neurological recovery of brain after cardiac arrest. We hypothesize that the brain injury results in a reduction in information of the brain rhythm. To measure the information content of the EEG a new measure called information quantity (IQ), which is the Shannon entropy of decorrelated EEG signals, is developed. For decorrelating EEG signals, we use the discrete wavelet transform (DWT) which is known to have good decorrelating properties and to show a good match to the standard clinical bands in EEG. In measuring the amount of information, IQ shows better tracking capability for dynamic amplitude change and frequency component change than conventional entropy-based measures. Experiments are carried out in rodents (n = 30) to monitor the neurological recovery after cardiac arrest. In addition, EEG signal recovery under normothermic (37 °C) and hypothermic (33 °C) resuscitation following 5, 7, and 9 min of cardiac arrest is recorded and analyzed. Experimental results show that the IQ is greater for hypothermic than normothermic rats, with an IQ difference of more than 0.20 (0.20 ± 0.11 is 95% condidence interval). The results quantitatively support the hypothesis that hypothermia accelerates the electrical recovery from brain injury after cardiac arrest.

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Parameterized entropy analysis of EEG following hypoxic–ischemic brain injury

Cited by 56 publications

References 36 publications

Analysis of Spontaneous MEG Activity in Patients with Alzheimer's Disease using Spectral Entropies

Analysis of Spontaneous MEG Activity in Patients with Alzheimer's Disease using Spectral Entropies

Improving neurological outcomes post-cardiac arrest in a rat model: Immediate hypothermia and quantitative EEG monitoring

Quantitative EEG and Effect of Hypothermia on Brain Recovery After Cardiac Arrest

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