NDLI: Application of Tsallis Entropy to EEG: Quantifying the Presence of Burst Suppression After Asphyxial Cardiac Arrest in Rats

Content Provider	IEEE Xplore Digital Library
Author	Dandan Zhang Xiaofeng Jia Haiyan Ding Datian Ye Thakor, N.V.
Copyright Year	1964
Abstract	Burst suppression (BS) activity in EEG is clinically accepted as a marker of brain dysfunction or injury. Experimental studies in a rodent model of brain injury following asphyxial cardiac arrest (CA) show evidence of BS soon after resuscitation, appearing as a transitional recovery pattern between isoelectricity and continuous EEG. The EEG trends in such experiments suggest varying levels of uncertainty or randomness in the signals. To quantify the EEG data, Shannon entropy and Tsallis entropy (TsEn) are examined. More specifically, an entropy-based measure named TsEn area (TsEnA) is proposed to reveal the presence and the extent of development of BS following brain injury. The methodology of TsEnA and the selection of its parameter are elucidated in detail. To test the validity of this measure, 15 rats were subjected to 7 or 9 min of asphyxial CA. EEG recordings immediately after resuscitation from CA were investigated and characterized by TsEnA. The results show that TsEnA correlates well with the outcome assessed by evaluating the rodents after the experiments using a well-established neurological deficit score (Pearson correlation = 0.86, p¿ 0.01 ). This research shows that TsEnA reliably quantifies the complex dynamics in BS EEG, and may be useful as an experimental or clinical tool for objective estimation of the gravity of brain damage after CA.
Sponsorship	IEEE Engineering in Medicine and Biology Society
Page Count	8
File Size	492644
Starting Page	867
Ending Page	874
File Format	PDF
ISSN	00189294
Volume Number	57
Issue Number	4
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-04-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Entropy Electroencephalography Asphyxia Cardiac arrest Rats Rodents Brain injuries Brain modeling Area measurement Testing Tsallis entropy (TsEn) Burst suppression (BS) cardiac arrest (CA) EEG quantitative
Content Type	Text
Resource Type	Article
Subject	Biomedical Engineering

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